Publicaciones
Año 2024
- Challenges for computer vision as a tool for screening urban trees through street-view images
Arevalo-Ramirez, Tito; Alfaro, Anali; Figueroa, Jose; Ponce-Donoso, Mauricio; Saavedra, Jose M.; Recabarren, Matias; Delpiano, Jose.
URBAN FORESTRY & URBAN GREENING, Volume 95
DOI: 10.1016/j.ufug.2024.128316 - Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images
Arevalo-Ramirez, T.; Alfaro, A.; Saavedra, JM.; Recabarren, M.; Ponce-Donoso, M.; Delpiano, J.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Volume 17, Pages 12112–12122
DOI: 10.1109/JSTARS.2024.3419127 - Simultaneous 3D T1, T2, and fat-signal-fraction mapping with respiratory-motion correction for comprehensive liver tissue characterization at 0.55 T
Tripp, DP.; Kunze, KP.; Crabb, MG.; Prieto, C.; Neji, R.; Botnar, RM.
MAGNETIC RESONANCE IN MEDICINE, Volume 92, Issue 6, Pages 2433–2446
DOI: 10.1002/mrm.30236 - Image navigator-based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis
Wood, G.; Hajhosseiny, R.; Pedersen, AU.; Littlewood, S.; Hansen, TJ.; Neji, R.; Kunze, KP.; Wetzl, J.; Norgaard, BL.; Jensen, JM.; Maeng, M.; Madsen, PL.; Vejlstrup, N.; Prieto, C.; Botnar, RM.; Kim, WY.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, Volume 26, Issue 2
DOI: 10.1016/j.jocmr.2024.101097 - Evaluation of myocarditis with a free-breathing three-dimensional isotropic whole-heart joint T1 and T2 mapping sequence
Hua, A.; Velasco, C.; Munoz, C.; Milotta, G.; Fotaki, A.; Bosio, F.; Granlund, I.; Sularz, A.; Chiribiri, A.; Kunze, KP.; Botnar, R.; Prieto, C.; Ismail, TF.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, Volume 26, Issue 2
DOI: 10.1016/j.jocmr.2024.101100 - Highly efficient image navigator based 3D whole-heart cardiac MRA at 0.55T
Castillo-Passi, C.; Kunze, KP.; Crabb, MG.; Munoz, C.; Fotaki, A.; Neji, R.; Irarrazaval, P.; Prieto, C.; Botnar, RM.
MAGNETIC RESONANCE IN MEDICINE, Volume 93, Issue 2, Pages 689–698
DOI: 10.1002/mrm.30316 - 3D B1+ corrected simultaneous myocardial T1 and T1ρ mapping with subject-specific respiratory motion correction and water-fat separation
Qi, HK.; Lv, ZF.; Diao, JM.; Tao, XF.; Hu, JP.; Xu, J.; Botnar, R.; Prieto, C.; Hu, P.
MAGNETIC RESONANCE IN MEDICINE, Volume 93, Issue 2, Pages 751–760
DOI: 10.1002/mrm.30317 - Elastin-specific MR probe for visualization and evaluation of an interleukin-1β targeted therapy for atherosclerosis
Mangarova, DB.; Reimann, C.; Kaufmann, JO.; Möckel, J.; Kader, A.; Adams, LC.; Ludwig, A.; Onthank, D.; Robinson, S.; Karst, U.; Helmer, R.; Botnar, R.; Hamm, B.; Makowski, MR.; Brangsch, J.
SCIENTIFIC REPORTS, Volume 14, Issue 1
DOI: 10.1038/s41598-024-71716-5 - Cardiovascular magnetic resonance reveals myocardial involvement in patients with active stage of inflammatory bowel disease
Fenski, M.; Abazi, E.; Gröschel, J.; Hadler, T.; Kappelmayer, D.; Kolligs, F.; Prieto, C.; Botnar, R.; Kunze, KP.; Schulz-Menger, J.
CLINICAL RESEARCH IN CARDIOLOGY, DOI: 10.1007/s00392-024-02503-5 - Simultaneous 3D T1, T2, and fat-signal-fraction mapping with respiratory-motion correction for comprehensive liver tissue characterization at 0.55 T
Tripp, DP.; Kunze, KP.; Crabb, MG.; Prieto, C.; Neji, R.; Botnar, RM.
MAGNETIC RESONANCE IN MEDICINE, DOI: 10.1002/mrm.30236 - Clinical impact of novel cardiovascular magnetic resonance technology on patients with congenital heart disease: a scientific statement of the Association for European Pediatric and Congenital Cardiology and the European Association of Cardiovascular Imaging of the European Society of Cardiology
Voges, I.; Raimondi, F.; Mcmahon, CJ.; Ait-Ali, L.; Babu-Narayan, S.; Botnar, RM.; Burkhardt, B.; Gabbert, DD.; Grosse-Wortmann, L.; Hasan, H. et al.
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Volume 25, Issue 12, Pages e274–e294, DOI: 10.1093/ehjci/jeae172 - Free-breathing 3D whole-heart joint T1/T2 mapping and water/fat imaging at 0.55 T
Si, D.; Crabb, MG.; Kunze, KP.; Littlewood, SJ.; Prieto, C.; Botnar, RM.
MAGNETIC RESONANCE IN MEDICINE, Volume 92, Issue 4, Pages 1511–1524, DOI: 10.1002/mrm.30139 - Free-running 3D cardiac cine MRI using a deep learning-based real-time cine image generator
Craft, J.; Weber, J.; Li, Y.; Cheng, JY.; Diaz, N.; Kunze, KP.; Schmidt, M.; Grgas, M.; Weber, S.; Botnar, RM.
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Volume 40, Issue 6, Pages 1363–1376, DOI: 10.1007/s10554-024-03111-0 - Extended MRI-based PET motion correction for cardiac PET/MRI
Aizaz, M.; van der Pol, JAJ.; Schneider, A.; Munoz, C.; Holtackers, RJ.; van Cauteren, Y.; van Langen, H.; Meeder, JG.; Rahel, BM.; Wierts, R.; Botnar, RM. et al.
EJNMMI PHYSICS, Volume 11, Issue 1, DOI: 10.1186/s40658-024-00637-z - Feasibility and image quality of bright-blood and black-blood phase-sensitive inversion recovery (BOOST) sequence in clinical practice using for left atrial visualization in patients with atrial fibrillation
Dohy, Z.; Kiss, M.; Suhai, FI.; Kunze, K.; Neji, R.; Orbán, G.; Drobni, Z.; Czimbalmos, C.; Juhász, V.; Szabó, L.; Botnar, R. et al.
EUROPEAN RADIOLOGY, Volume 34, Issue 4, Pages 2689–2698, DOI: 10.1007/s00330-023-10257-3 - A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease
Phair, A.; Fotaki, A.; Felsner, L.; Fletcher, TJ.; Qi, HK.; Botnar, RM.; Prieto, C.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, Volume 26, Issue 1, DOI: 10.1016/j.jocmr.2024.101039 - Electric corrections to it-it scattering lengths in the linear sigma model
Cádiz, R.; Loewe, M.; Zamora, R.
PHYSICAL REVIEW D, Volume 109, Issue 11, DOI: 10.1103/PhysRevD.109.116004 - A fuzzy gestural AI for expressive interactivity in multi-touch DMIs based on Laban’s descriptors
González-Inostroza, M.; Cádiz, R.
Computer Music Journal, DOI: 10.1162/comj_a_00673 - Generating Sonic Phantoms with Quadratic Difference Tone Spectrum Synthesis
Gutiérrez, E.; Haworth, C.; Cádiz, RF.
COMPUTER MUSIC JOURNAL, Volume 47, Issue 3, Pages 19–34, DOI: 10.1162/COMJ_a_00687 - Resource-aware research on Universe and Matter: call-to-action in digital transformation
Bruers, B.; Cruces, M…. et al.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, DOI: 10.1140/epjs/s11734-024-01436-4 - Contemporaneous X-Ray Observations of 30 Bright Radio Bursts from the Prolific Fast Radio Burst Source FRB 20220912A
Cook, AM.; Scholz, P.; Pearlman, AB.; Abbott, TC.; Cruces, M… et al.
ASTROPHYSICAL JOURNAL, Volume 974, Issue 2, DOI: 10.3847/1538-4357/ad6a13 - A Robotic Flutist Framework for Exploring Acoustics, Human-Instrument Interaction, and Musical Creation
Hurtado, F.; de la Cuadra, P.; Torres, M.
COMPUTER MUSIC JOURNAL, Volume 47, Issue 4, Page 47-63, DOI: 10.1162/COMJ_a_00697 - Assessing Short-range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications
d’Orey, PM.; Gaitán, MG.; Santos, PM.; Ribeiro, M.; de Sousa, JB.; Almeida, L.
COMPUTER NETWORKS, Volume 249, DOI: 10.1016/j.comnet.2024.110505 - Q-light: Q-learning enabled VLC network routing
Kurunathan, H.; Robles, R.; Gaitán, MG.; Ravichandran, I.; Tovar, E.
PROCEEDINGS OF THE WORKSHOP ON MOBILITY IN THE EVOLVING INTERNET ARCHITECTURE TO BE HELD IN CONJUNCTION WITH MOBICOM 2024, MOBIARCH 2024, Page 31-36, DOI: 10.1145/3691555.3696830 - NB-IoT Path Loss Experimental Measurements in Urban Outdoor Environments
Moreno, M.; Oxman, D.; Sandoval, J.; Azurdia-Meza, CA.; Gaitán, MG.; Játiva, PP.; Firoozabadi, AD.
2024 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, CSNDSP 2024, Page 120-124, DOI: 10.1109/CSNDSP60683.2024.10636491 - Performance Analysis of a VLC System Applied to a Hospital Environment for IoT-based Smart Patient Monitoring
Fernández, B.; Játiva, PP.; Azurdia-Meza, CA.; Boettcher, N.; Zabala-Blanco, D.; Gaitán, MG.; Soto, I.
2024 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, CSNDSP 2024, Page 615-620, DOI: 10.1109/CSNDSP60683.2024.10636464 - Minimal-Overlap Centrality for Multi-Gateway Designation in Real-Time TSCH Networks
Gaitán, MG.; Almeida, L.; D’Orey, PM.; Santos, PM.; Watteyne, T.
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, Volume 23, Issue 1, DOI: 10.1145/3610583 - Worst-Case Response Time of Mixed Vehicles at Complex Intersections
Reddy, R.; Almeida, L.; Kurunathan, H.; Gaitán, MG.; Santos, PM.; Tovar, E.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, Volume 5, Page 186-201, DOI: 10.1109/OJITS.2024.3368797 - MRI Pulse Sequence for Quantifying Magnetic Nanoparticles From Highly Distorted Static Field: View Line
Liu, S.; Qiu, WQ.; Della Maggiora, G.; Kuwahata, A.; Irarrazaval, P.; Sekino, M.
IEEE TRANSACTIONS ON MAGNETICS, Volume 60, Issue 10, DOI: 10.1109/TMAG.2024.3426948 -
Fast and accessible T2 mapping using off-resonance corrected DESPOT2 with application to 3D prostate
Coronado, R.; Castillo-Passi, C.; Besa, C.; Irarrazaval, P.
MAGNETIC RESONANCE IMAGING, Volume 109, Page 227-237, DOI: 10.1016/j.mri.2024.03.018 -
Coal Phase-Out and Carbon Tax Analysis with Long-Term Planning Models: A Case Study for the Chilean Electric Power System
Castillo, P.; Aguad, M.; Lorca, A.; Cordova, S.; Negrete-Pincetic, M.
ENERGIES, Volume 17, Issue 21, DOI: 10.3390/en17215263 -
Water resources management: a bibliometric analysis and future research directions
Favereau, M.; Babonneau, F.; Lorca, A.
ANNALS OF OPERATIONS RESEARCH, DOI: 10.1007/s10479-024-06339-0 -
A Binary Expansion Approach for the Water Pump Scheduling Problem in Large and High-Altitude Water Supply Systems
Cariaga, D.; Lorca, A.; Anjos, MF.
ENERGIES, Volume 17, Issue 16, DOI: 10.3390/en17164107 -
Optimal cleaning scheduling for large photovoltaic portfolios
Astete, I.; Castro, M.; Lorca, A.; Negrete-Pincetic, M.
APPLIED ENERGY, Volume 372, DOI: 10.1016/j.apenergy.2024.123760 -
Evaluation of Multipurpose Reservoir Operating Policies at Basin and Electric Power System Scales
Durán, A.; Favereau, M,; Lorca, A.; Vicuña, S.; Melo, O.; Negrete-Pincetic, M.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, Volume 150, Issue 7, DOI: 10.1061/JWRMD5.WRENG-6349 -
A long-term generation and transmission expansion planning model considering desalination flexibility and coordination: A Chilean case study
Portilla-Paveri, M.; Cariaga, D.; Negrete-Pincetic, M.; Lorca, A.; Anjos, MF.
APPLIED ENERGY, Volume 371, DOI: 10.1016/j.apenergy.2024.123578 - Data-driven optimization for seismic-resilient power network planning *
Oneto, A.; Lorca, A.; Ferrario, E.; Poulos, A.; de la Llera, JC.; Negrete-Pincetic, M.
COMPUTERS & OPERATIONS RESEARCH, Volume 166, DOI: 10.1016/j.cor.2024.106628 -
Medium-term stochastic hydrothermal scheduling with short-term operational effects for large-scale power and water networks
Navarro, A.; Favereau, M.; Lorca, A.; Olivares, D.; Negrete-Pincetic, M.
APPLIED ENERGY, Volume 358, DOI: 10.1016/j.apenergy.2023.122554 -
Impacts of different hydrogen demand levels and climate policy scenarios on the Chilean integrated hydrogen-electricity network
Jorquera-Copier, J.; Lorca, A.; Sauma, E.; Lorenczik, S.; Negrete-Pincetic, M.
ENERGY POLICY, Volume 184, DOI: 10.1016/j.enpol.2023.113881 -
Convergence analysis for platooning over coloured additive noise channels
Sanhueza, F.; Gordon, M.; Maass, A.; Peters, A.; Vargas, F.
2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, Page 430-435, DOI: 10.23919/ECC64448.2024.10591288 -
An Lp-norm framework for event-triggered control
Hertneck, M.; Maass, A.; Nesic, D.; Allgöwer, F.
2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, Page 2818-2824 -
Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group
Bilgic, B.; Costagli, M.; Chan, KS.; Duyn, J.; Langkammer, C.; Lee, J. ; Li, X.; Liu, CL,; Marques, JP.; Milovic, C… et al.
MAGNETIC RESONANCE IN MEDICINE, Volume 91, Issue 5, Page 1834-1862, DOI: 10.1002/mrm.30006 -
Stability Guarantees for a Class of Networked Control Systems Subject to Stochastic Delays
Schlotterbeck, C.; Gallegos, JA.; Teel, AR.; Núñez, F.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Volume 69, Issue 12, Page 8884-8891, DOI: 10.1109/TAC.2024.3418989 -
A Cyber-Physical System for Real-Time Physiological Data Monitoring and Analysis
Huanca, F.; Torres, M.; Rodriguez-Fernandez, M.; Núñez, F.
IEEE INTERNET OF THINGS JOURNAL Volume 11, Issue 17, Page 28918-28930, DOI: 10.1109/JIOT.2024.3404220 - Robust Adaptive Average Consensus Over a Time-Varying and Nonbalanced Environment
Gallegos, JA. ; Schlotterbeck, C.; Núñez, F.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Volume 69, Issue 8, Page 5577-5583, DOI: 10.1109/TAC.2024.3367655 - Observability and Observed-Based Control for a Class of Output Modular Systems With Application to Modular Multilevel Power Converters
Gallegos, JA.; Rubio, F.; Pereda, J.; Núñez, F.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Volume 32, Issue 6, Page 2418-2427, DOI: 10.1109/TCST.2024.3393211 - High-Gain Adaptive Control With Switching Derivation Order and Its Application to a Class of Multiagent Systems
Gallegos, J.; Aguila-Camacho, N.; Núñez, F.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Volume 54, Issue 7, Page 3960-3971, DOI: 10.1109/TSMC.2024.3376698 - Data-driven Observers based on Autoencoder Neural Networks
Pinto, M.; Gallegos, JA.; Núñez, F.
2024 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS, CCTA 2024, Page 499-504, DOI: 10.1109/CCTA60707.2024.10666587 - Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management
Langarica, S.; De La Vega, D.; Cariman, N.; Miranda, M.; Andrade, DC.; Núñez, F.; Rodriguez-Fernandez, M.
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, Volume 5, Page 467-475, DOI: 10.1109/OJEMB.2024.3365290 - On Maximizing the Probability of Achieving Deadlines in Communication Networks
Becker, B.; Oberli, C.; Meuser, T.; Steinmetz, R.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS, Volume 13, Issue 1, DOI: 10.3390/jsan13010009 - Delay Probability Distributions of Acknowledged CSMA/CA With Finite Re-Transmissions Over Fading Channels
Madariaga, N.; Oberli, C.; Estela, MC.
IEEE ACCESS, Volume 12, Page 76844-76857, DOI: 10.1109/ACCESS.2024.3404609 - Design, Analysis, and Experimental Verification of Arm Link Enhanced Modular Multilevel Converter
Aguilar, R.; Tarisciotti, L.; Pereda, J.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, Volume 12, Issue 3, Page 3091-3102, DOI: 10.1109/JESTPE.2024.3387653 -
Long-Horizon Sequential FCS-MPC Approaches for Modular Multilevel Matrix Converters
Cuzmar, RH.; Mora, A.; Pereda, J.; Poblete, P.; Aguilera, RP.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Volume 71, Issue 5, Page 5137-5147, DOI: 10.1109/TIE.2023.3286013 -
Optimal Switching Sequence MPC for Four-Leg Two-Level Grid-Connected Converters
Mora, A.; Leiva, F.; Cardenas, R.; Rojas, F.; Pereda, J.; Aguilera, RP; Travieso-Torres, JC
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, Volume 12, Issue 2, Page 1271-1281, DOI: 10.1109/JESTPE.2023.3265502 -
Predictive Optimal Variable-Angle PS-PWM Strategy for Cascaded H-Bridge Converters
Poblete, P.; Gajardo, J.; Cuzmar, RH.; Aguilera, RP.; Pereda, J.; Lu, D. ; Marquez, AM.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Volume 71, Issue 11, Page 13556-13566, DOI: 10.1109/TIE.2024.3370998 -
MPC Strategy Applied to Modular Multilevel Matrix Converters for Low-Frequency AC Transmission Systems
Cuzmar, RH.; Aguilera, RP.; Pereda, J.; Poblete, P.; Mora, A.; Lu, DDC.
2024 IEEE 9TH SOUTHERN POWER ELECTRONICS CONFERENCE, SPEC, DOI: 10.1109/SPEC62217.2024.10893154 -
Instantaneous Circulating Current Reference Design Strategy for Inter-arm Power Imbalance Control in Delta-connected CHB Converters
Poblete, P.; Aguilera, RP.; Pereda, J.; Cuzmar, RH.; Lu, D.; Siwakoti, YP.
2024 IEEE 9TH SOUTHERN POWER ELECTRONICS CONFERENCE, SPEC, DOI: 10.1109/SPEC62217.2024.10893221 -
MPC-Based Current and Local Cluster Balancing Controls for Low-Frequency AC Transmission Systems
Cuzmar, RH.; Aguilera, RP.; Pereda, J.; Poblete, P.; Mora, A.; Lu, DDC.
2024 IEEE 34TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE, AUPEC 2024, DOI: 10.1109/AUPEC62273.2024.10807551 -
Model Predictive Control in Multilevel Inverters Part I: Basic Strategy and Performance Improvement
Garcia, C.; Mora, A.; Norambuena, M.; Rodriguez, J.; Aly, M.; Carnielutti, F.; Pereda, J. .. et al.
IEEE OPEN JOURNAL OF INDUSTRY APPLICATIONS, Volume 5, Page 428-441, DOI: 10.1109/OJIA.2024.3460669 -
Model Predictive Control in Multilevel Inverters Part II: Renewable Energies and Grid Applications
Norambuena, M.; Mora, A.; Garcia, C.; Rodriguez, J.; Aly, M.; Carnielutti, F.; Pereda, J. … et al.
IEEE OPEN JOURNAL OF INDUSTRY APPLICATIONS, Volume 5, Page 414-427, DOI: 10.1109/OJIA.2024.3460668 -
Modular Analysis of Modular Multilevel Converter With Distributed Energy System
Salvadores, T.; Pereda, J.; Rojas, F.
IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, Volume 5, Page 109-121, DOI: 10.1109/OJIES.2024.3361167 -
Distributed Control for Modular Multilevel Cascaded Converters: Toward a Fully Modular Topology
Burgos-Mellado, C.; Pereda, J.; Mora, A.; Cardenas-Dobson, R.; Dragicevic, T.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE, Volume 18, Issue1, Page 32-45, DOI: 10.1109/MIE.2023.3299080 -
Constrained MPC for Intercluster Energy Control of Modular Multilevel Matrix Converters
Cuzmar, R.; Montenegro, A.; Mora, A.; Pereda, J.; Aguilera, RP.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Volume 71, Issue7 Page 7766-7776, DOI: 10.1109/TIE.2023.3303641 -
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translation
Zhang, Q.; Fotaki, A.; Ghadimi, S.; Wang, Y.; Doneva, M.; Wetzl, J.Delfino, JG. ; O’Regan, DP.; Prieto, C.; Epstein, FH.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, Volume 26, Issue 2, DOI: 10.1016/j.jocmr.2024.101051 -
Inversion recovery and saturation recovery pulmonary vein MR angiography using an image based navigator fluoro trigger and variable-density 3D cartesian sampling with spiral-like order
Craft, J.; Weber, J.; Li, Y.; Cheng, JY.; Diaz, N.; Kunze, KP.; Prieto, C… et al.
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Volume 40, Issue 6, Page 1363-1376, DOI: 10.1007/s10554-024-03111-0 -
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Machado, I.; Puyol-Antón, E.; Hammernik, K.; Cruz, G.; Ugurlu, D.; Olakorede, I.; Oksuz, I.; Ruijsink, B.; Castelo-Branco, M.; Young, A.; Prieto, C.; Schnabel, J. ; King, A.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Volume 71, Issue 3 Page 855-865, DOI: 10.1109/TBME.2023.3321431 -
Non-rigid motion-compensated 3D whole-heart T2 mapping in a hybrid 3T PET-MR system
Schneider, A.; Munoz, C.; Hua, ALA.; Ellis, S.; Jeljeli, S.; Kunze, KP.; Neji, R.; Reader, AJ.; Reyes, E.; Ismail, TF.; Botnar, RM.; Prieto, C.
MAGNETIC RESONANCE IN MEDICINE, Volume 91, Issue 5, Page 1951-1964, DOI: 10.1002/mrm.29973 -
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
Spieker, V.; Eichhorn, H.; Stelter, JK.; Huang, WQ.; Braren, RF.; Rueckert, D.; Costabal, FS.; Hammernik, K. ; Prieto, C…. et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2024, PT VII, Volume 15007, Page 614-624, DOI: 10.1007/978-3-031-72104-5_59 -
Cardiac magnetic resonance for early atrial lesion visualization post atrial fibrillation radiofrequency catheter ablation
Guglielmo, M.; Rier, S.; De Zan, G.; Krafft, AJ.; Schmidt, M.; Kunze, KP.; Botnar, RM.; Prieto, C.; et al..
JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, Volume 35, Issue 2, Page 258-266, DOI: 10.1111/jce.16152 -
Power Imbalance Analysis of Modular Multilevel Converter With Distributed Energy Systems
Salvadores, T.; Pereda, J.; Rojas, F.
IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, Volume 5, Page 109-121, DOI: 10.1109/OJIES.2024.3361167 -
Image-based automatic wind velocity profiler for adaptive optics
Diaz, SJ.; Tejos, C.; Guesalaga, A.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Volume 530, Issue 2, Page 1679-1687, DOI: 10.1093/mnras/stae326 -
Robust Nonlinear Model Predictive Control for the Trajectory Tracking of Skid-Steer Mobile Manipulators with Wheel-Ground Interactions
Aro, K.; Guevara, L.; Torres-Torriti, M.; Torres, F.; Prado, A.
ROBOTICS, Volume 13, Issue 12, DOI: 10.3390/robotics13120171 -
A two-stage deep learning strategy for weed identification in grassfields
Calderara-Cea, F.; Torres-Torriti, M.; Cheein, FA.; Delpiano, J.
COMPUTERS AND ELECTRONICS IN AGRICULTURE, Volume 225, DOI: 10.1016/j.compag.2024.109300 -
DiaBloS: Diagrams of Blocks for Systems Modeling and Simulation in Python
Torres-Torriti, M.; Rojas-Sepúlveda, M.
13TH INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL, ROMOCO 2024, Page 63-68, DOI: 10.1109/ROMOCO60539.2024.10604417 -
Hybrid OSC-RL Control for Task Optimization of Dual-Arm Robots
Galarce-Acevedo, P.; Torres-Torriti, M.
13TH INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL, ROMOCO 2024, Page 217-222, DOI: 10.1109/ROMOCO60539.2024.10604418 -
Model predictive path-following controller for Generalised N-Trailer vehicles with noisy sensors and disturbances
Deniz, N.; Jorquera, F.; Torres-Torriti, M.; Cheein, FA.
CONTROL ENGINEERING PRACTICE, Volume 142, DOI: 10.1016/j.conengprac.2023.105747 -
Evolution of BD-14 3065b (TOI-4987b) from giant planet to brown dwarf as possible evidence of deuterium burning at old stellar ages
Subjak, J.; Latham, DW.; Quinn, SN.; Berlind, P.; Calkins, ML.; Esquerdo, GA.; Brahm, R.; Caballero, JA.; Collins, KA.; Guenther, E.; Janik, J.; Kabath, P. ; Schwarz, RP.; Tan, TG.; Vanzi.; et al.
ASTRONOMY & ASTROPHYSICS, Volume 688, DOI: 10.1051/0004-6361/202349028 -
Physical properties of Centaur (60558) 174P/Echeclus from stellar occultations
Pereira, CL.; Braga-Ribas, F.; Sicardy, B. ; Gomes, AR Jr.; Ortiz, JL.; Branco, HC.; Camargo, JIB.; Morgado, BE. ….Vanzi, L. et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Volume 527 Issue 2, Page 3624-3638, DOI: 10.1093/mnras/stad3318 -
Stochastic model for active distribution networks planning: An analysis of the combination of active network management schemes
Lazo, J.; Watts, D.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, Volume 19, DOI: 10.1016/j.rser.2023.114156
Año 2023
- Myocardial scar detection in free-breathing Dixon-based fat- and water-separated 3D inversion recovery late-gadolinium enhancement whole heart MRI.
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PLOS One - MUSIB: musical score inpainting benchmark
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EURASIP Journal on Audio, Speech, and Music Processing - Predictive control for current distortion mitigation in mining power grids. Applied
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Revista de física de altaenergía 2022 6. - VerDAQ: a Versatile DataAcQuisition system for high energy physics experiments.
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10.1088/1475-7516/2022/10/033 - A Physically Inspired Implementation of Xenakis’s Stochastic Synthesis: Diffusion Dynamic Stochastic Synthesis
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Journal of High Energy Physics volume 2021, Article number: 169 - “Search for dark matter produced in association with a Standard Model Higgs boson decaying into b-quarks using the full Run 2 dataset from the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of High Energy Physics volume 2021, Article number: 209 - “Search for exotic decays of the Higgs boson into long-lived particles in pp collisions at ?s = 13 TeV using displaced vertices in the ATLAS inner detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of High Energy Physics volume 2021, Article number: 229 - “Search for new phenomena in three- or four-lepton events in pp collisions at sqrt(s) = 13 TeV with the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Physics Letters B Volume 824, 10 January 2022, 136832 - “Neutrino Physics with an Opaque Detector.”
Cabrera A., Abusleme A., et al. (2021)
Communications Physics volume 4, Article number: 273 - “Slice-based analog design.”
Walker P., Ochoa-Ricoux J.P., Abusleme A. (2021)
IEEE Access, vol. 9, pp. 148164-148183, doi: 10.1109/ACCESS.2021.3121660. - “Radioactivity control strategy for the JUNO detector.”
The JUNO Collaboration (Abusleme A., Troni G., et al.) (2021)
Journal of High Energy Physics volume 2021, Article number: 102 - “The Design and Sensitivity of JUNO’s scintillator radio purity pre-detector OSIRIS.”
The JUNO Collaboration (Abusleme A., Troni G., et al.) (2021)
The European Physical Journal C volume 81, Article number: 973 - “Measurements of $W^+W^-+ge 1~$jet production cross-sections in pp collisions at sqrt{s}=13 TeV with the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of High Energy Physics volume 2021, Article number: 3 - “Measurements of sensor radiation damage in the ATLAS inner detector using leakage currents.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of Instrumentation, Volume 16, August - “Search for New Phenomena in Final States with Two Leptons and One or No b-Tagged Jets at $sqrt{s} = 13$ TeV Using the ATLAS Detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Phys. Rev. Lett. 127, 141801 – Published 1 October - “Two-particle azimuthal correlations in photonuclear ultraperipheral Pb+Pb collisions at 5.02 TeV with ATLAS.”
Abusleme A., & The ATLAS Collaboration (2021)
Phys. Rev. C 104, 014903 – Published 12 July - “A search for the decays of stopped long-lived particles at sqrt{s}=13 TeV with the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of High Energy Physics volume 2021, Article number: 173 - “Calibration Strategy of the JUNO Experiment.”
The JUNO Collaboration (Abusleme A., Troni G., et al.) (2021)
Journal of High Energy Physics volume 2021, Article number: 4 - “Evidence for Higgs boson decays to a low-mass dilepton system and a photon in pp collisions at s=13 TeV with the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Physics Letters B Volume 819, 10 August 2021, 136412 - “Measurements of W+W?+ ? 1 jet production cross-sections in pp collisions at s?s = 13 TeV with the ATLAS detector.”
Abusleme A., & The ATLAS Collaboration (2021)
Journal of High Energy Physics volume 2021, Article number: 3 - “Mass production and characterization of 3-inch PMTs for the JUNO experiment.” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
The JUNO Collaboration (Cao C., Xu J., He M., Abusleme A. et al.) (2021)
Volume 1005, 21 July 2021, 165347 - “Feasibility and Physics Potential of detecting 8b Solar Neutrinos at JUNO.”
The JUNO Collaboration (Abusleme A., Troni G., et al.) (2021)
Chinese Physics C, Volume 45, Number 2 - “Assessment of Albumin ECM Accumulation and Inflammation as Novel In Vivo Diagnostic Targets for Multi-Target MR Imaging.”
Jana Möckel J., Brangsch J., Reimann C., Kaufmann J., Sack I., Mangarova D., Kader A., Taupitz M., Adams L., Keller S., Ludwig A., Hamm B., Botnar R., Makowski M. (2021)
Biology 2021, 10(10), 964 - “Dark-blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of subendocardial scar: a review of current techniques.”
Holtackers R., Van De Heyning C.M., Chiribiri A., Wildberger J., Botnar R., Kooi M.E. (2021)
Journal of Cardiovascular Magnetic Resonance volume 23, Article number: 96 - “Imaging of Dysfunctional Elastogenesis in Atherosclerosis Using an Improved Gadolinium-Based Tetrameric MRI Probe Targeted to Tropoelastin.”
Capuana F., Phinikaridou A., Stefania R., Padovan S., Lavin B., Lacerda S., Almouazen E., Chevalier Y., Heinrich-Balard L., Botnar R., Aime S., Digilio G. (2021)
J. Med. Chem. 2021, 64, 20, 15250–15261 - “Generalized low-rank nonrigid motion-corrected reconstruction for MR fingerprinting.”
Cruz G., Qi H., Jaubert O., Kuestner T., Schneider T., Botnar R., Prieto C. (2021)
Volume87, Issue2 February 2022 Pages 746-763 First published: 02 October - “Simultaneous comprehensive liver T1, T2, T1p and fat fraction characterization with MR fingerprinting.”
Velasco C, , Cruz G., Jaubert O., Lavin B., Botnar R.M., Prieto C. (2021)
Magn Reson Med. 2021; 00: 1– 12. - “Simultaneous T1, T2, and T1? cardiac magnetic resonance fingerprinting for contrast agent–free myocardial tissue characterization”.
Velasco C, , Cruz G., Lavin B., Hua A., Fotaki A., Botnar R.M., Prieto C. (2021)
Magn Reson Med. 2021; 00: 1– 11. - “Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.”
Küstner T., Muñoz C., Psenicny A., Bustin A., Fuin N., Qi H., Neji R., Kunze K., Hajhosseiny R., Prieto C., Botnar R. (2021)
Magn Reson Med. 2021; 86: 2837– 2852 - “Synergistic multi-contrast cardiac magnetic resonance image reconstruction.”
Munoz C., Sim I., Neji R., Kunze KP., Masci P.G., Schmidt M., O’Neill M., Williams S., Botnar R.M., Prieto C. (2021)
“Evaluation of accelerated motion-compensated 3d water/fat late gadolinium enhanced MR for atrial wall imaging.”
Magnetic Resonance Materials in Physics, Biology and Medicine volume 34, pages877–887
Qi H., Cruz G., Botnar R., Prieto C. (2021)
Phil. Trans. R. Soc. A.3792020019720200197 - “High-resolution 3D Whole-Heart MRI T2 Mapping for Assessment of Myocarditis.”
Bustin A., Hua A., Milotta G., Jaubert O., Hajhosseiny R., Ismail T.F., Botnar R., Prieto C. (2021)
Radiolgy, Vol. 298, No. 3 - “3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging.”
Milotta G., Muñoz C., Kunze K., Neji R., Figliozzi S., Chiribiri A., Hajhosseiny R., Masci P., Prieto C., Botnar R. (2021)
J Cardiovasc Magn Reson 23, 62 - “Accelerated High-resolution Free-breathing 3D whole-heart T2-prepared Black-blood and Bright-blood Cardiac MRI.”
Correia T., Ginami G., Rashid I., Nordio G., Hajhosseiny R., Ismail T., Neji R., Botnar C., Prieto C. (2021)
Journal of Cardiovascular Magnetic Resonance volume 22 - “Clinical comparison of sub-mm high-resolution non-contrast coronary CMR angiography against coronary CT angiography in patients with low-intermediate risk of coronary artery disease: a single center trial.”
Hajhosseiny R., Rashid I., Bustin A., Muñoz C., Cruz G., Nazir M., Grigoryan K., Ismail T., Preston R., Neji R., Kunze K., Razavi R., Chiribiri A., Masci P., Rajani R., Prieto C., Botnar R. (2021)
Journal of Cardiovascular Magnetic Resonance volume 23, Article number: 57 - “End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA.”
Qi H., Hajhosseiny R., Cruz G., Kuestner T., Kunze K., Neji R., Botnar R., Prieto C. (2021)
Magn Reson Med. 2021; 86: 1983– 1996 - “Forecasting copper electrorefining cathode rejection by means of recurrent neural networks with attention mechanism.”
Correa P., Cipriano A., Nuñez F., Salas J.C., Lobel H. (2021)
IEEE Access, vol. 9, pp. 79080-79088 - “Random forest model predictive control for paste thickening.”
Díaz P., Salas J.C., Cipriano A., Nuñez F. (2021)
Minerals Engineering Volume 163, 15 March 2021, 106760 - “Transcribing Lead Sheet-Like Chord Progressions of Jazz Recordings.”
Durán G., de la Cuadra P. (2021)
Computer Music Journal 44 (4): 26–42 - “Experimental analysis of non-periodic sound regimes in flute-like musical instruments”.
Terrien S., Vergez C., de la Cuadra P., Fabre B. (2021)
The Journal of the Acoustical Society of America 149, 2100 - “FASS: a turbulence profiler based on a fast, low-noise camera.”
Guesalaga A., Ayancán B., Sarazin M., Wilson R., Perera S., Le Louarn M. (2021)
Monthly Notices of the Royal Astronomical Society, Volume 501, Issue 2, February 2021, Pages 3030–3045 - “A spatial off-resonance correction in spirals for Magnetic Resonance Fingerprinting.”
Coronado R., Lima Da Cruz G., Castillo-Passi C., Tejos C., Uribe S., Prieto C., Irarrazaval P. (2021)
IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3832-3842, Dec. 2021 - “Streaking artifact suppression of quantitative susceptibility mapping reconstructions via L1-norm data fidelity optimization (L1-QSM).”
Milovic C., Lambert., Langkammer C., Bredies K., Irarrazaval P., Tejos C. (2021)
Magn Reson Med. 2021; 87: 457– 473 - “A low-complexity decision model for home energy management systems.”
Salgado M., Negrete M., Lorca A., Olivares D. (2021)
Applied Energy Volume 294, 15 July 2021, 116985 - “A Robust Decision-Support Method Based on Optimization and Simulation for Wildfire Resilience in Highly Renewable Power Systems.”
Tapia T., Lorca Á., Olivares D., Negrete M., Lamadrid A. (2021)
European Journal of Operational Research Volume 294, Issue 2, 16 October 2021, Pages 723-733 - “An energy management system with short-term fluctuation reserves and battery degradation for isolated microgrids.”
Córdova S., Cañizares C., Lorca A., Olivares D. (2021)
IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 4668-4680, Nov. 2021 - “Comparison between concentrated solar power and gas-based generation in terms of economic and flexibilityrelated aspects in Chile.
Hernández C., Cerda M.T., Salmon A., Lorca A. (2021)
Energies 2021, 14(4), 1063 - “Optimization-Based Analysis of Decarbonization Pathways and Flexibility Requirements in Highly Renewable Power Systems.”
Verástegui F., Lorca A., Olivares D., Negrete M. (2021)
“Optimization-Based Analysis of Decarbonization Pathways and Flexibility Requirements in Highly Renewable Power Systems.”
Energy Volume 234, 1 November 2021, 121242 - “The impact of short-term pricing on flexible generation investments in electricity markets.”
Villalobos C., Negrete M., Figueroa N., Lorca A., Olivares D. (2021)
Energy Economics Volume 98, June 2021, 105213 - “The value of aggregators in local electricity markets: A game theory based comparative analysis.”
Rodríguez R., Negrete M., Olivares D., Lorca A., Figueroa N. (2021)
Sustainable Energy, Grids and Networks Volume 27, September 2021, 100498 - “Perspectives on Modeling Hub Location Problems.”
Alumur S.A., Campbell J.F., Contreras I., Kara B.Y., Marianov V., O’Kelly M.T. (2021)
European Journal of Operational Research Volume 291, Issue 1, 16 May 2021, Pages 1-17 - “A low-complexity decision model for home energy management systems.”
Salgado M., Negrete M., Lorca A., Olivares D. (2021)
Applied Energy Volume 294, 15 July 2021, 116985 - “A Robust Decision-Support Method Based on Optimization and Simulation for Wildfire Resilience in Highly Renewable Power Systems.”
Tapia T., Lorca Á., Olivares D., Negrete M., Lamadrid A. (2021)
European Journal of Operational Research Volume 294, Issue 2, 16 October 2021, Pages 723-733 - “Optimization-Based Analysis of Decarbonization Pathways and Flexibility Requirements in Highly Renewable Power Systems.”
Verástegui F., Lorca A., Olivares D., Negrete M. (2021)
Energy Volume 234, 1 November 2021, 121242 - “The impact of short-term pricing on flexible generation investments in electricity markets.”
Villalobos C., Negrete M., Figueroa N., Lorca A., Olivares D. (2021)
Energy Economics Volume 98, June 2021, 105213 - “The value of aggregators in local electricity markets: A game theory based comparative analysis.”
Rodríguez R., Negrete M., Olivares D., Lorca A., Figueroa N. (2021)
Sustainable Energy, Grids and Networks Volume 27, September 2021, 100498 - “A Cyber-Physical Systems Approach to Collaborative Intersection Management and Control.”
Guzmán J.A., Núñez F. (2021)
IEEE Access, vol. 9, pp. 99617-99632, 2021 - “Design of an IoT-PLC: A containerized programmable logical controller for the industry 4.0.”
J. Mellado, F. Núñez (2021)
Journal of Industrial Information Integration Volume 25, January 2022, 100250 - “Forecasting copper electrorefining cathode rejection by means of recurrent neural networks with attention mechanism.”
Correa P., Cipriano A., Nuñez F., Salas J.C., Lobel H. (2021)
IEEE Access, vol. 9, pp. 79080-79088 - “On the relation between peak age and stability in control loops over non-beacon enabled CSMA/CA.”
Mena J.P., Núñez F. (2021)
IEEE Communications Letters, vol. 25, no. 9, pp. 3139-3143 - “Random forest model predictive control for paste thickening.”
Díaz P., Salas J.C., Cipriano A., Nuñez F. (2021)
Minerals Engineering Volume 163, 15 March 2021, 106760 - “Generalized low-rank nonrigid motion-corrected reconstruction for MR fingerprinting.”
Cruz G., Qi H., Jaubert O., Kuestner T., Schneider T., Botnar R., Prieto C. (2021)
Magn Reson Med. 2021; 87: 746– 763 - “Simultaneous comprehensive liver T1, T2, T1p and fat fraction characterization with MR fingerprinting.”
Velasco C., Cruz G., Jaubert O., Lavin B., Botnar R.M., Prieto C. (2021)
Magn Reson Med. 2021; 00: 1– 12 - “Simultaneous T1, T2, and T1? cardiac magnetic resonance fingerprinting for contrast agent–free myocardial tissue characterization.”
Velasco C, , Cruz G., Lavin B., Hua A., Fotaki A., Botnar R.M., Prieto C. (2021)
Magn Reson Med. 2021; 00: 1– 11 - “A spatial off-resonance correction in spirals for Magnetic Resonance Fingerprinting.”
Coronado R., Lima Da Cruz G., Castillo-Passi C., Tejos C., Uribe S., Prieto C., Irarrazaval P. (2021)
IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3832-3842 - “Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.”
Küstner T., Muñoz C., Psenicny A., Bustin A., Fuin N., Qi H., Neji R., Kunze K., Hajhosseiny R., Prieto C., Botnar R. (2021)
Magn Reson Med. 2021; 86: 2837– 2852 - “Evaluation of accelerated motion-compensated 3d water/fat late gadolinium enhanced MR for atrial wall imaging.”
Munoz C., Sim I., Neji R., Kunze KP., Masci P.G., Schmidt M., O’Neill M., Williams S., Botnar R.M., Prieto C. (2021)
Magn Reson Mater Phy 34, 877–887 - “Synergistic multi-contrast cardiac magnetic resonance image reconstruction.”
Qi H., Cruz G., Botnar R., Prieto C. (2021)
Phil. Trans. R. Soc. A 379: 20200197. - “High-resolution 3D Whole-Heart MRI T2 Mapping for Assessment of Myocarditis.”
Bustin A., Hua A., Milotta G., Jaubert O., Hajhosseiny R., Ismail T.F., Botnar R., Prieto C. (2021)
Radiology, 298 (3), 2021 - “3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging.”
Milotta G., Muñoz C., Kunze K., Neji R., Figliozzi S., Chiribiri A., Hajhosseiny R., Masci P., Prieto C., Botnar R. (2021)
J Cardiovasc Magn Reson 23, 62 - “Accelerated High-resolution Free-breathing 3D whole-heart T2-prepared Black-blood and Bright-blood Cardiac MRI.”
Correia T., Ginami G., Rashid I., Nordio G., Hajhosseiny R., Ismail T., Neji R., Botnar C., Prieto C. (2021)
J Cardiovasc Magn Reson 22, 88 - “Clinical comparison of sub-mm high-resolution non-contrast coronary CMR angiography against coronary CT angiography in patients with low-intermediate risk of coronary artery disease: a single center trial.”
Hajhosseiny R., Rashid I., Bustin A., Muñoz C., Cruz G., Nazir M., Grigoryan K., Ismail T., Preston R., Neji R., Kunze K., Razavi R., Chiribiri A., Masci P., Rajani R., Prieto C., Botnar R. (2021)
J Cardiovasc Magn Reson 23, 57 - “End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA.”
Qi H., Hajhosseiny R., Cruz G., Kuestner T., Kunze K., Neji R., Botnar R., Prieto C. (2021)
Magn Reson Med. 2021; 86: 1983– 1996 - “Elastic AlignedSENSE for Dynamic MR Reconstruction: A Proof of Concept in Cardiac Cine.”
Godino-Moya, A., Menchón-Lara R.M., Martín-Fernández M., Prieto C., Alberola-López C. (2021)
Entropy 2021, 23, 555. - “A spatial off-resonance correction in spirals for Magnetic Resonance Fingerprinting.”
Coronado R., Lima Da Cruz G., Castillo-Passi C., Tejos C., Uribe S., Prieto C., Irarrazaval P. (2021)
IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3832-3842 - “Abnormal nodal and global network organization in resting state functional MRI from subjects with the 22q11 deletion syndrome.”
Pelgrim T.A.D., Bossong M.G., Cuiza A., Alliende L.M., Mena C., Tepper A., Ramirez-Mahaluf J.P., Iruretagoyena B.,Ornstein C., Fritsch R., Cruz J.P., Tejos C., Repetto G., Crossley N. (2021)
Sci Rep 11, 21623 - “GOFOS, ground optical fog observation system for monitoring the vertical stratocumulus-fog cloud distribution inthe coast of the Atacama Desert, Chile.”
del Río C., Lobos F., Siegmund A., Tejos C., Osses P., Huaman Z., Meneses J.P., García J.L. (2021)
Journal of Hydrology Volume 597, June 2021, 126190 - “Streaking artifact suppression of quantitative susceptibility mapping reconstructions via L1-norm data fidelity optimization (L1-QSM).”
Milovic C., Lambert., Langkammer C., Bredies K., Irarrazaval P., Tejos C. (2021)
Magn Reson Med. 2021; 87: 457– 473 - “Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments.”
Guevara D., Gené-Mola J., Gregorio E., Torres-Torriti M., Reina G., Cheein F. (2021)
J. of Applied Remote Sensing, 15(2), 024508 - “Distributed Tube-Based Nonlinear MPC for Motion Control of Skid-Steer Robots With Terra-Mechanical Constraints.”
Prado A.J., Torres-Torriti M., Cheein F.A. (2021)
IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8045-8052 - “HD 76920 b pinned down: A detailed analysis of the most eccentric planetary system around an evolved star.”
Bergmann C., Jones M.I., Zhao J., Mustill A.J., Brahm R., Torres P., Wittenmyer R.A., Gunn F., Pollard K.R., Zapata A., Vanzi L., Wang S. (2021)
Publications of the Astronomical Society of Australia, 38, E019.
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A. Abusleme, (et al.) (2020)
Revista: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Volume 988, 1 February 2021, 164823 - “Respiratory Volume Monitoring: A MachineLearning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation.
D. E. Hurtado, J. A. P. Chávez, R. Mansilla, R. Lopez and A. Abusleme, (2020)
Revista: IEEE Access, vol. 8, pp. 227936-227944 - An Overview of Microgrids Challenges in the Mining Industry.
Juan s. Gómez, José Rodriguez, Cristian García, Luca Tarisciotti, Freddy Flores-Bahamonde, Javier Pereda, Felipe Núñez, Aldo Cipriano, Juan Carlos Salas (2020)
Revista: IEEE Access, vol. 8, pp. 191378-191393 - Comparison of parameter optimization methods for quantitative susceptibility mapping.
Milovic C., Prieto C., Bilgic B., Uribe S., AcostaCabronero J., Irarrazaval P., Tejos C. (2020)
Revista: Magnetic Resonance in Medicine Volume85, Issue1, January 2021. pp 480-494 - DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification using Deep Learning in Magnetic Resonance Imaging.
Della Maggiora G., Castillo-Passi C., Qiu W., Liu S., Milovic C., Sekino M., Tejos C., Uribe S., Irarrazaval P. (2020)
Revista: IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2020 - Level set segmentation with shape prior knowledge using intrinsic rotation, translation and scaling alignment.
Arrieta C., Sing-Long C., Mura J., Irarrazaval P., Andia M., Uribe s., Tejos C. (2020)
Revista: Biomedical Signal Processing and Control Volume 63, January 2021, 102241 - MAPL1: q?space reconstruction using L1?regularized mean apparent propagator.
Varela-Mattatall G., Castillo-Passi C., Koch A., Mura J., Stirnberg R., Uribe S., Tejos C., Stöcker T., Irarrázaval P. (2020)
Revista: Magnetic Resonance in Medicine Volume84, Issue4 October 2020 Pp 2219-2230 - The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.
Milovic C., Tejos C., Acosta-Cabronero J., Özbay P.S., Schwesser F., Marques J.P, Irarrázaval P., Bilgic B., Langkammer C. (2020)
Revista: Magnetic Resonance in Medicine Volume84, Issue3 September 2020 Pp 1624-1637 - Comparison of energy scenario alternatives for Chile: Towards low-carbon energy transition by 2030.
Simsek Y., Sahin H., Lorca A., Santika W.G., Urmee T., Escobar R. (2020)
IEEE Energy Volume 206, 1 September 2020, 118021 - Firewood Heat Electrification Impacts in the Chilean Power System.
Verástegui F., Lorca A., Negrete-Pincetic M., Olivares D. (2020)
Revista: Volume 144, September 2020, 111702 - Management of EV Charging Stations under Advance Reservations Schemes in Electricity Markets.
Bernal R., Olivares D., Negrete M., Lorca A. (2020)
Revista: Sustainable Energy Grids & Networks Volume 24, December 2020, 100388 - Stability of utility functions and apportionment rules in location models.
Eiselt H.A., Marianov V. (2020)
Revista: TOP 28, pages772–792(2020) - Firewood Heat Electrification Impacts in the Chilean Power System.
Verástegui F., Lorca A., Negrete-Pincetic M., Olivares D. (2020)
Revista: Energy Policy Volume 144, September 2020, 111702 - Management of EV Charging Stations under Advance Reservations Schemes in Electricity Markets.
Bernal R., Olivares D., Negrete M., Lorca A. (2020)
Revista: Sustainable Energy Grids & Networks Volume 24, December 2020, 100388 - An Overview of Microgrids Challenges in the Mining Industry.
Gómez J., Rodríguez J., García C., Tarisciotti L., Flores-Bahamonde F., Pereda J., Nuñez F., Cipriano A., Salas J.C. (2020)
Revista: IEEE Access, vol. 8, pp. 191378-191393 - Circadian Phase Prediction from Non-Intrusive and Ambulatory Physiological Data.
Suarez A., Núñez F., Rodríguez-Fernandez M. (2020)
Revista: IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2020.3019789. - Denoising and Voltage Estimation in Modular Multilevel Converters Using Deep NeuralNetworks.
Langarica S., Pizarro G., Poblete P., Rodríguez F., Pereda J., Núñez F. (2020)
Revista: IEEE Access, vol. 8, pp. 207973-207981 - Design and Prototyping of a Thread Border Router Based on a Non Network-co-Processor Architecture.
Herrera T., Núñez F. (2020)
Revista: IEEE Access, vol. 8, pp. 60613-60625 - Neuroevolutive Control of Industrial ProcessesThrough Mapping Elites.
Langarica S., Núñez F. (2020)
Revista: IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2020.3019846. - An Overview of Microgrids Challenges in the Mining Industry.
Gómez J., Rodríguez J., García C., Tarisciotti L., Flores-Bahamonde F., Pereda J., Nuñez F., Cipriano A., Salas J.C. (2020)
Revista: IEEE Access, vol. 8, pp. 191378-191393 - Denoising and Voltage Estimation in Modular Multilevel Converters Using Deep NeuralNetworks.
Langarica S., Pizarro G., Poblete P., Rodríguez F., Pereda J., Núñez F. (2020)
Revista: IEEE Access, vol. 8, pp. 207973-207981 - Phase-Shifted Model Predictive Control to Achieve Power Balance of CHB Converters for Large-Scale Photovoltaic Integration.
Cuzmar R., Pereda J. Aguilera R.P. (2020)
Revista: IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.3026299. - Solid State Transformers: Concepts, Classification, and Control.
Azharuddin M., Rojas F., Cárdenas R., Pereda J., Díaz M., Kennel R. (2020)
Revista: Energies 13(9), 2319 - Three-Port Full-Bridge Bidirectional Converter for Hybrid DC/DC/AC Systems.
Neira S., Pereda J., Rojas F. (2020)
Revista: IEEE Transactions on Power Electronics, vol. 35, no. 12, pp. 13077-13084 - 3D free-breathing cardiac magnetic resonance fingerprinting.
Cruz G., Jaubert O., Qi H., Bustin A., Milotta G., Schneider T., Koken P., Doneva M., Botnar R.M., Prieto C. (2020)
Revista : NMR in Biomedicine 21 July 2020 - 3D whole heart isotropic resolution motion compensated joint T1/T2 mapping and water/fat imaging.
Milotta G, Bustin A, Jaubert O, Neji R, Prieto C, Botnar RM. (2020)
Revista: Magnetic Resonance in Medicine Volume84, Issue6 December 2020 Pp 3009-3026 - 3D whole-heart free-breathing qBOOST-T2 mapping.
Milotta G., Ginami G., Bustin A., Neji R., Prieto C., Botnar R.M. (2020)
Revista: Magnetic Resonance in Medicine Volume83, Issue5 May 2020 Pp 1673-1687 - 3D Whole-Heart Isotropic Sub-Millimeter Resolution Coronary Magnetic Resonance Angiography with Non-Rigid MotionCompensated PROST.
Bustin A. , Rashid I, Cruz G, Hajhosseiny R., Correia T., Neji R., Rajani R., Ismail T., Botnar R.M., Prieto C. (2020)
Revista : Journal of Cardiovascular Magnetic Resonance volume 22, Article number: 24 (2020) - A multi-scale variational neural network for accelerating motion-compensated wholeheart 3D coronary MR angiography.
Fuin N., Bustin A., Kustner T., Oksuz I., Clough J., King A., Schnabel J., Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance Imaging Volume 70, July 2020, Pages 155-167 - Accelerated free-breathing whole-heart 3D T2 mapping with high isotropic resolution.
Bustin A., Milotta G., Ismaail T., Neji R., Botnar R.M., Prieto C. (2020)
Revista : Magnetic Resonance in Medicine Volume83, Issue3 March 2020 Pp 988-1002 - CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complexvalued 4D spatio-temporal convolutions.
Küstner T., Fuin N., Hammernik K., Bustin A., Qi H., Hajhosseiny R., Masci P.G., Neji R., Rueckert D., Botnar R.M., Prieto C. (2020)
Revista: Scientific Reports 10, Article number: 13710 - Coronary magnetic resonance Angiography: technical innovations Leading us to the promised land?.
Hajhosseiny R., Bustin A., Munoz C., Rashid I., Cruz G., Manning W.J., Prieto., Botnar R.M. (2020)
JACC: Cardiovascular Imaging Volume 13, Issue 12, December 2020, Pages 2653-2672 - Faster 3D saturation-recovery based myocardial T1 mapping using a reduced number of saturation points and denoising.
Nordio G., Bustin A., Odille F., Schneider T., Henningsson M., Prieto C., Botnar R.M. (2020)
Revista: PLOS One April 10, 2020 - Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging.
Jaubert O., Cruz G., Bustin A., Schneider T., Koken P., Doneva M., Rueckert D., Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance Imaging Volume 68, May 2020, Pages 173-182 - From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.
Bustin A., Fuin N., Botnar R.M., Prieto C. (2020)
Revista: Frontiers in Cardiovascular Medicine 25 February 2020 - Fully self-gated free-running 3D Cartesian cardiac CINE with isotropic whole-heart coverage in less than 2 min.
Küstner T, Bustin A, Jaubert O, Hajhosseiny R., Masci P.G., Neji R., Botnar R., Prieto C. (2020)
Revista: NMR in Biomedicine 25 September 2020 - High-dimensionality undersampled patchbased reconstruction (HD-PROST) for accelerated multi-contrast MRI.
Bustin A., Lima da Cruz G., Jaubert O., Lopez K.,
Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance in Medicine Volume81, Issue6 June 2019 Pp 3705-3719 - Isotropic 3D Cartesian single breath‐hold CINE MRI with multi‐bin patch‐based low‐rank reconstruction.
Küstner T., Bustin A., Jaubert O., Hajhosseiny R., Masci P.G., Neji R., Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance in Medicine Volume84, Issue4 October 2020Pp. 218-2033 - Motion corrected water/fat whole-heart coronary MR angiography with 100% respiratory efficiency.
Munoz C., Cruz G., Neji R., Botnar R.M., PrietoC. (2020)
Revista: Magnetic Resonance in Medicine Volume82, Issue2 August 2019 Pages 732-742 - Multi-parametric Liver Tissue Characterization Using MR Fingerprinting: Simultaneous T1, T2, T2 *, and Fat Fraction Mapping.
Jaubert O., Arrieta C., Cruz G., Bustin A., Schneider T., Georgiopoulos G., Masci P.G., Sing-Long C., Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance in Medicine 13 May 2020 - PET/MRI of atherosclerosis.
Aizaz M., Moonen R.P.M., van der Pol J.A.J., Prieto C., Botnar R.M., Kooi M.E. (2020)
Revista: Cardiovascular Diagnosis & Therapy Vol 10, No 4 (August 2020) - Respiratory motion-compensated highresolution 3D whole-heart T1r mapping.
Qi H., Bustin A., Kuestner T., Hajhosseiny R., Cruz G., Kunze K., Neji R., Botnar R.M., Prieto C. (2020)
Revista: Journal of Cardiovascular Magnetic Resonance 22, Article number: 12 (2020) - Simultaneous 3D whole-heart bright-blood and black blood imaging for cardiovascular anatomy and wall assessment with interleaved T2 prep-IR.
Milotta G., Ginami G., Cruz G., Neji R., Prieto C., Botnar R.M. (2020)
Revista: Magnetic Resonance in Medicine Volume82, Issue1 July 2019 Pp 312-325 - Water/fat Dixon Cardiac Magnetic Resonance Fingerprinting.
Jaubert O., Cruz G., Bustin A., Lavin B., Koken P., Hajhosseiny R., Doneva M., Rueckert D., Botnar R.M., Prieto C. (2020)
Revista: Magnetic Resonance in Medicine Volume83, Issue 6 June 2020 Pp 2107-2123 - Whole-heart T1 mapping using a 2D fat image navigator for respiratory motion compensation.
Nordio G., Schneider T., Cruz G., Correia T., Bustin A., Prieto C., Botnar R.M. (2020)
Revista: Magnetic Resonance in Medicine Volume83, Issue 1 January 2020 Pp 178-187 - Comparison of parameter optimization methods for quantitative susceptibility mapping.
Milovic C., Prieto C., Bilgic B., Uribe S., AcostaCabronero J., Irarrazaval P., Tejos C. (2020)
Revista: Magnetic Resonance in Medicine Volume85, Issue1 January 2021 Pp 480-494 - DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification using Deep Learning in Magnetic Resonance Imaging.
della Maggiora G., Castillo-Passi C., Qiu W., Liu S., Milovic C., Sekino M., Tejos C., Uribe S., Irarrazaval P. (2020)
Revista : IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2020.3012103. - Level set segmentation with shape prior knowledge using intrinsic rotation, translation and scaling alignment.
Arrieta C., Sing-Long C., Mura J., Irarrazaval P., Andia M., Uribe s., Tejos C. (2020)
Revista : Volume 63, January, 102241 - MAPL1: q? space reconstruction using L1?regularized mean apparent propagator.
Varela-Mattatall G., Castillo-Passi C., Koch A., Mura J., Stirnberg R., Uribe S., Tejos C., Stöcker T., Irarrázaval P. (2020)
Revista : Magnetic Resonance in Medicine Volume84, Issue4 October 2020 Pp 2219-2230 - The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.
Milovic C., Tejos C., Acosta-Cabronero J., Özbay P.S., Schwesser F., Marques J.P, Irarrázaval P., Bilgic B., Langkammer C. (2020)
Revista : Magnetic Resonance in Medicine Volume84, Issue3 September 2020 Pp 1624- 1637 - Hinf-based Terrain Disturbance Rejection for Hydraulically Actuated Mobile Manipulators with a Non-Rigid Link.
Rigotti-Thompson M., Torres-Torriti M., Cheein A., Troni G. (2020)
Revista: EEE/ASME Transactions on Mechatronics, vol. 25, no. 5, pp. 2523-2533, Oct. 2020. - Point cloud-based estimation of effective payload volume for earthmoving loaders.
Guevara J., Arevalo-Ramirez T., Yandun F., Torres-Torriti M., Cheein F.A. (2020)
Revista: Automation in Construction Volume 117, September 2020, 103207 - Tube-based nonlinear model predictive control for autonomous skid-steer mobile robots with tire–terrain interactions.
Pradi A.J., Torres-Torriti M., Yuz J., Cheein F.A. (2020)
Revista: Control Engineering Practice Volume 101, August 2020, 104451 - MASCARA-4 b/bRing-1 b: A retrograde hot Jupiter around a bright A-type star.
Dorval P., Talens G.J.J., Otten G.P.P., Brahm R., Jordán A., Torres P., Vanzi L., Zapata A., Henry T., Paredes L., Jao W.C., James H., Hinojosa R., Bakos G.A., Csubry Z., Bhatti W., Suc V., Osip D., Mamajek E.E., Mellon S.N., Wyttenbach A., Stuik R., Ke (2020)
Revista: Astronomy & Astrophysics Volume 635 (March 2020) - TOI-481 b and TOI-892 b: Two Long-period Hot Jupiters from the Transiting Exoplanet Survey Satellite.
Brahm R., Nielsen L., Wittenmyer R.A., Wang S., Rodriguez J.E., Espinoza N., Jones M., Jordán A., Henning T., Hobson M., Kossakowski D., Rojas F., Sarkis P., Schlecker M., Trifonov T., Shahaf S., Ricker G., Vanderspek R., Latham D., Seager S., Winn J., (2020)
Revista: Astronomical Journal Volume 160, Number 5
Año 2019
- Exploring the “resistance change per energy unit” as universal performance parameter for resistive switching devices
Gomez J., Vourkas I., Abusleme A., Rodríguez A., Martin-Martinez J., Nafria M., Rubio A. (2019)
Revista: Solid-State Electronics, Volume 165, March 2020 - Non-invasive continuous respiratory monitoring using temperature-based sensors
Hurtado D.E., Abusleme A., Chávez J. (2019)
Revista: Journal of Clinical Monitoring and Computing, 34. - Performance and molière radius measurements using a compact prototype of lumical in an electron test beam
H. Abramowicz, A. Abusleme, K. Afanaciev. Et al. (2019)
Revista: European Physical Journal, V79 N°579. - Monte carlo simulation of switching dynamics in polycrystalline ferroelectrics capacitors
Alessandri C., Pandey P., Abusleme A., Seabaugh A. (2019)
Revista: IEEE Transactions on Electron Devices, Volume 66 Issue 8 - Voltage divider for self-limited analog state programing of memristors
Gomez J., Vourkas I. Abusleme A., Sirakoulis G., Rubio. (2019)
Revista: IEEE Transactions on Circuits and SystemsI-Regular Papers, Volume 67 Issue 4 - Exploring memristor multi-level tuning dependencies on the applied pulse properties via a low cost instrumentation setup
Gomez J., Vourkas I., Abusleme A. (2019)
Revista: IEEE Access, Volume 7 - Dynamic modeling and simulation of tailing thickener units for the development of control strategies.
Langlois J.I. and Cipriano A. (2019)
Revista: Minerals Engineering V.131 - Red wine grape pomace attenuates atherosclerosis and myocardial damage and increases survival in association with imp disease
Rivera K., Salas-Pérez F., Evheverría G., Urquiaga I., Dicenta S., Pérez D., de la Cerda P., González L., Andía M. E., Uribe S., Tejos C., Martínez G., Busso D., Irarrázaval P., Rigotti A. (2019)
Revista: Nutrients V.11 N°9 - Comparison of q-space reconstructions methods for undersampled diffusion spectrum imaging data.
Varela G., Koch A., Stirnberg R., Chabert S., Uribe S., Tejos C., Stocker T., Irarrazaval P. (2019)
Revista: Magnetic Resonance in Medical Sciences, Volumen 19, Número 2 - Noise estimation for the velocity in mri phase-contrast
Irarrázaval P., Firoozabadi A., Uribe S., Tejos C., Sing-Long C. (2019)
Revista: Magnetic Resonance Imaging, Volumen 63 - Pet reconstruction with non-negativity constraint in projection space: optimization through hypo-convergence
Bousse, Alexandre; Courdurier, Matias ; Emond, Elise; Thielemans, Kris ; Hutton, Brian ; Irarrazaval, Pablo ; Visvikis, Dimitris (2019)
Revista: IEEE Transactions on Medical Imaging, Volume 39, Numero 1 - Comparison of basis functions and q- space sampling schemes for robust compressed sensing reconstruction accelerating diffusion spectrum imaging
Alexandra Tobisch, Thomas Schultz, Rüdiger Stirnberg, Gabriel Varela- Mattatall, Hans Knutsson, Pablo Irarrázaval, Tony Stöcker (2019)
Revista: NMR in Biomedicine Volumen 32, Número 3 - An adaptive robust optimization model for power systems planning with operational uncertainty
Verástegui F., Lorca A., Olivares D.E., NegretePincetic M., Gazmuri P. (2019)
IEEE Transactions on Power Systems, Volumen 34 Número 6 - Review and assessment of energy policy developments in chile
Simsek Y., Lorca A., Urmee T., Bahri P.A. and Escobar R. (2019)
Revista: Energy Policy Volumen 127 - The impact of concentrated solar power in electric power systems: a chilean case study
Mena R., Escobar R., Lorca A., Negrete-Pincetic M. and Olivares D. (2019)
Revista: Applied Energy Volumen 235 - The follower competitive location problem with comparison-shopping.
Marianov V., Eiselt H.A., Lüer-Villagra A. (2019)
Revista: Networks and Spatial Economics, Volumen 20 - A multi-product maximin hazmat routinglocation problem with multiple origindestination pairs
Beneventti D., Bronfman A., Paredes-Belmar G., Marianov V. (2019)
Revista: Journal of Cleaner Production, Volume 240 - A single allocation p-hub median problem with general piecewise-linear costs in arcs
Lüer-Villagra A., Eiselt H.A. and Marianov. V. (2019)
Revista: Computers & Industrial Engineering Volumen 128 - Systematically incorporating environmental objectives into shale gas pipeline development: a binary integer, multi-objective spatial optimization model
Kroetz K., Shih J.-S., Siikamäki J.V., Marianov V., Krupnick A.., Chud Z. (2019)
Systematically incorporating environmental objectives into shale gas pipeline development: a binary integer, multi-objective spatial optimization model
Revista: Environmental Science & Technology, Volumen 53, Número 12 - An adaptive robust optimization model for power systems planning with operational uncertainty
Verástegui F., Lorca A., Olivares D.E., NegretePincetic M., Gazmuri P. (2019)
Revista: IEEE Transactions on Power Systems, Volumen 34, Número 6 - Portfolio design of a demand response aggregator with satisficing consumers
Salah F., Henríquez R., Wenzel G., Olivares D., Negrete-.Pincetic M. and Weinhardt C. (2019)
Revista: IEEE Transactions on Smart Grid, Volume 10 , Número 3 - The impact of concentrated solar power in electric power systems: a chilean case study
Mena R., Escobar R., Lorca A., Negrete-Pincetic M. and Olivares D. (2019)
Revista: Applied Energy Volumen 235 - A multi-cast algorithm for robust average consensus over internet of things environments
Orostica B., Nuñez F. (2019)
Revista: Computer Communications Volumen 140-141 - An industrial internet application for realtime fault diagnosis in industrial motors
Langarica S., Ruffelmacher C., Núñez F. (2019)
Revista: IEEE Transactions on Automation Science and Engineering, Volume 17 , Número 1 - Blockchain-driven on-demand control loops over iot environments
Mendoza J.J., Núñez F. (2019)
Revista: IEEE Access Volumen 7 - Neural network-based model predictive control of a paste thickener over an industrial internet platform
Núñez F., Langarica S., Díaz P., Torres M., Salas J.C. (2019)
Revista: IEEE Transactions on Industrial Informatics Volume 16 Issue 4 - Meteorological characterization of floods in a mountainous poorly gauged catchment using principal component analysis
Castro L., Gironás J., Escauriaza C., Barría P., Oberli C. (2019)
Revista: Journal of Hydrologic Engineering Volumen 24 - A novel distributed control strategy for optimal dispatch of isolated microgrids Considering congestion
Llanos J., Olivares D.E., Simpson-Porco J.W., Karezani M., Sáez D. (2019)
Revista: IEEE Transactions on Smart Grid Volume 10, Issue 6 - An adaptive robust optimization model for power systems planning with operational uncertainty
Verástegui F., Lorca A., Olivares D.E., NegretePincetic M., Gazmuri P. (2019)
Revista: IEEE Transactions on Power Systems Volumen 34, Número 6 - Distributed control strategy based on a consensus algorithm and on theconservative power theory for imbalance and harmonic sharing in 4-wire microgrids
Burgos-Mellado C., Llanos J., Cárdenas R., Sáez D., Olivares D.E., Summer M., Costabeber A. (2019)
Revista: IEEE Transactions on Smart Grid, Volume 11 Número 2 - Portfolio design of a demand response aggregator with satisficing consumers
Salah F., Henríquez R., Wenzel G., Olivares D., Negrete-.Pincetic M. and Weinhardt C. (2019)
Revista: IEEE Transactions on Smart Grid Volume 10 , Número 3 - Robust energy management of isolated microgrids.
Lara J.D., Olivares D.E. and Cañizares C.A. (2019)
Revista: IEEE Systems Journal Volume 13 , Número 1 - The impact of concentrated solar power in electric power systems: a chilean case study
Mena R., Escobar R., Lorca A., Negrete-Pincetic M. and Olivares D. (2019)
Revista: Applied Energy Volumen 235 - The evolution over time of distributed energy resource’s penetration: a robust framework to assess the future impact of prosumage under different tariff designs
Bustos C., Watts D., Olivares D. (2019)
Revista: Applied Energy, Volumen 256 - Large step ratio input-series-outputparallel chain-link dc-dc converter
Zhang X., Tian M., Xiang X., Pereda J., Green T.C. and Yang X. (2019)
Revista: IEEE Transactions on Power Electronics Volumen 34, Número 5 - New dual h-bridge converter for continuous space vector modulation
Durán T., Neira S., Pereda J., Rojas F. (2019)
Revista: IET Power Electronics, Volumen 12, Número 5 - Asymmetrical triangular current mode (atcm) for bidirectional high step ratio modular multilevel dc-dc converter
Pineda C., Pereda J., Rojas F., Cerda C., Zhang X., Watson A. (2019)
Revista: IEEE Transactions on Power Electronics, Volume 35, Issue 7 - A design methodology of multi-resonantcontrollers for high performance 400hzground power units
Rojas F., Cardenas R., Clare J., Diaz M., Pereda J., Kennel R. (2019)
Revista: IEEE Transactions on Industrial Electronics, Volumen 66, Número 8 - 3d cartesian fast interrupted steady-state (fiss) imaging
Küstner T., Bustin A., Jaubert O., Neji R., Prieto C., Botnar R. (2019)
Revista : Magnetic Resonance in Medicine, Volumen 82, Número 5 - 3d sasha myocardial t1 mapping with high accuracy and improved precision
Nordio G., Bustin A., Henningsson M., Rashid I., Chiribiri A., Ismail T., Odile F., Prieto C. and Botnar R.M. (2019)
Revista: Magnetic Resonance Materials in Physics, Biology and Medicine, Volume 32 - Five -minute whole -heart coronary mra with sub -millimeter isotropic resolution, 100% respiratory scan efficiency and 3dprost reconstruction
Bustin A., Ginami G., Cruz G., Correia T., Tevfik I., Rashid I., Neji R., Botnar R., and Prieto C. (2019)
Revista: Magnetic Resonance in Medicine, Volumen 81, Número 1 - Free-running 3d whole heart myocardialt1 mapping with isotropic spatial resolution
Qi H., Jaubert O., Bustin A., Cruz G., Chen H., Botnar R., Prieto C. (2019)
Revista : Magnetic Resonance in Medicine, Volumen 82, Número 4 - Free-running simultaneous myocardial t1/t2 mapping and cine imaging with 3d whole-heart coverage and isotropic spatial resolution
Qi H, Bustin A, Cruz G, Jaubert O, Chen H, Botnar RM, Prieto C.
Revista: Magnetic Resonance Imaging, Volumen 63 - Non-contrast enhanced simultaneous 3d whole-heart bright-blood pulmonary veins visualization and black-blood quantification of atrial wall thickness
Ginami G., López K., Mukherjee R.K., Neje R., Muñoz C., Roujol S., Mountney P., Razavi R., Botnar R.M. and Prieto C. (2019)
Revista : Magnetic Resonance in Medicine, Volumen 81, Número 2 - Respiratory and cardiac motion corrected simultaneous whole-heart pet and dual phase coronary mr angiography
Muñoz C., Neji R., Kunze K.P., Nekolla S., Botnar R.M. and Prieto C. (2019)
Revista: Magnetic Resonance in Medicine Volume 81, Issue3 - Rigid motion-corrected magnetic resonance fingerprinting
Cruz G., Jaubert O., Schneider T., Botnar R.M. and Prieto C. (2019)
Revista : Magnetic Resonance in Medicine, Volumen 81, Número 2 - Sparsity and locally low rank regularization for mr fingerprinting
Lima da Cruz G., Bustin A, Jaubert O, Schneider T., Botnar R.M., Prieto C. (2019)
Revista: Magnetic Resonance in Medicine, Volumen 81, Número 6 - Comparison of q-space reconstructions methods for undersampled diffusion spectrum imaging data
Varela G., Koch A., Stirnberg R., Chabert S., Uribe S., Tejos C., Stocker T., Irarrazaval P. (2019)
Revista: Magnetic Resonance in Medical Sciences,Volume 19, Issue 2 - Noise estimation for the velocity in mri phase-contrast
Irarrázaval P., Firoozabadi A., Uribe S., Tejos C., Sing-Long C. (2019)
Revista : Magnetic Resonance Imaging, Volumen 63 - Red wine grape pomace attenuates atherosclerosis and myocardial damage and increases survival in association with improved plasma antioxidant activity in a murine model of lethal ischemic heart disease
Rivera K., Salas-Pérez F., Evheverría G., Urquiaga I., Dicenta S., Pérez D., de la Cerda P., González L., Andía M. E., Uribe S., Tejos C., Martínez G., Busso D., Irarrázaval P., Rigotti A. (2019)
Revista : Nutrients, Volumen 11, Número 9 - Self-regulation of the fusiform face area in autism spectrum: a feasibility study with real-time fmri neurofeedback
Pereira J.A., Sepulveda P., Rana M., Montalba C., Tejos C., Torres R., Sitaram R., Ruiz S. (2019)
Revista : Frontiers in Human Neuroscience, Volumen 13 - Plataforma de presencia virtual de bajo costo para personas con discapacidades motoras severas
Flores-Calero M., Torres-Torriti M., RetamalesOrtega F., Rosas-Díaz R. (2019)
Revista: Revista Iberoamericana de Automatica e Informatica Industrial, Volumen 17, Número 2 - Special issue on the international symposium on robotics research, 2017
Amato N. M., Hager G., Thomas S., Torres-Torriti M. (2019)
Revista: The International Journal of Robotics Research, Volumen 38, Número 12-13 - Usability analysis of scan matching techniques for localization of field machinery in avocado groves
Auat Cheein F., Torres-Torriti M., Rosell-Polo J.R. (2019)
Revista: Computers and Electronics in Agriculture, Volumen 162 - A new look into putative duplicity and pulsations of the be star b cmi
Harmanec P., Svanda M., Korcakova D., Chini R., Nasseri A., Yang S., Bozic H., Slecht M., Vanzi L. (2019)
Revista: Astrophysical Journal, Volumen 875, Número 1 - Hd 1397b: a transiting warm giant planet orbiting a v = 7.8 mag subgiant star discovered by tess
Brahm R., Espinoza N., Jordan A., Henning T., Sarkis P., Jones M.I., Diaz M.R., Jenkins J.S., Vanzi
L., Zapata A., Petrovich C., Kossakowski D., RabusM., Rojas F., Torres P. (2019)
Revista: Astronomical Journal, Volumen 158, Número 1 - The interstellar medium of dwarf galaxies: new insights from machine learning analysis of emission-line spectra
Ucci G., Ferrara A., Gallerani S., Pallottini A., Cresci G., Kehrig C., Hunt L.K., Vilchez J.M., Vanzi L. (2019)
Revista : Monthly Notices of the Royal Astronomical Society, Volumen 438, Número 1 - Tardys: design and prototype of an exoplanet hunter for tao using a r6 echelle grating
S. Rukdee L. VanziC. SchwabM. Flores A. Valenzuela J. Pember A. Zapata K. Motohara Y.
Yoshii M. Tala Pinto (2019)
Revista: Experimental Astronomy December 2019, Volume 48, Número 2 - Impacts of wind and solar spatial diversification on its market value: a case study of the chilean electricity market
Pérez Odeh R., Watts D. (2019)
Revista: Renewable & Sustainable Energy Reviews, Volumen 111 - Multi-dimensional indexes for the sustainability evaluation of an active distribution network
Sun C., Mi Z., Ren H., Jing Z., Lu J., Watts D. (2019)
Revista: Energies, Volumen 12, Número 3 - Single-dwelling and community renewable microgrids: optimal sizing and energy management for new business models
Avilés C., Oliva S., Watts D. (2019)
Revista : Applied Energy, Volumen 254 - The evolution over time of distributed energy resource’s penetration: a robust framework to assess the future impact of prosumage under different tariff designs
Bustos C., Watts D., Olivares D. (2019)
Revista : Applied Energy, Volumen 256. - The unnoticed impact of long-term cost information on wind farms’ economic value in the usa. – a real option analysis
Maeda M., Watts D. (2019)
Revista: Applied Energy, Volumen 241
Proyectos
Año 2024
- “Robust Optimization for Power Systems with Diverse Energy Storage Technologies”. FONDECYT 1211378 Regular. 2021-2025
Investigador principal: Álvaro Lorca
Co-Investigador: Matías Negrete -
“Modular Multilevel Converters with Embedded Hybrid Energy Storage for Heavy-Duty Electric Transportation. 2022-2026. Fondecyt Project no. 1220928.
Investigador principal: Javier Pereda; Co-Investigador: Félix Rojas -
“Advanced Predictive Control Strategies for Reliability Enhancement of Microgrids based on Matrix Converters. Fondecyt Regular 1220556, 2022-2026
Co-Investigador: Félix Rojas -
“Associate Researcher, Solar Energy Research Center” Fondap 15110019 SERC-Chile, 2018-2024
Co-Investigador: Félix Rojas -
A Power Converter for Full-Electric Houses: a Comprehensive Home Electricity Service 2022 – 2024
Deputy Director: Félix Rojas -
Cargador Rápido de Vehículos Eléctricos Basados en Módulos Independientes de aterías de Litio de Segunda Vida: Tecnología habilitante para la Gestión de Carga Inteligente y so Flexible de la Infraestructura Eléctrica 2023 – 2025
Director: Félix Rojas -
Binary neural networks for modular multilevel cascade converters 2023 – 2026
Director: Félix Rojas -
Integrated energy converter for green hydrogen production using renewable energies and high-cycle energy storage 2023 – 2027
Deputy Director: Félix Rojas -
“Intensity Learning for Off-Resonance Correction in MRI”. Fondecyt Regular 1210747. 2021-2025
Investigador principal: Pablo Irarrázaval -
“Millennium Institute for Intelligent HealthcareEngineering (iHealth)” ICN2021 004. 2022-2026.
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos -
“Robust and Truly Comprehensive Quantitative Cardiac MRI”. Fondecyt Regular 1210637. 2021-2025
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar -
“High-risk coronary plaque imaging with super-resolution multi-parametric MRI”. Fondecyt Regular 1210638. 2021-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto -
“Enabling Technology for Cutting-edge MRI Research in Chile: Towards Intelligent and Affordable Medical Imaging”. Fondequip 2021-2026
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar -
“Detection of High-Risk Plaque withTropoelastin -Specific and Multicontrast Coronary MR. BHF Programme Grant. 2020-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto -
“Smart Medical Imaging” en King’s College London y Colegio Imperial de Londres. EPSRC Centre for Doctoral Training. 2019-2028
Co-investigador: Claudia Prieto -
“Millennium Institute for Intelligent Healthcare Engineering (iHEALTH). ICN2021 004. 2021-2031
Directora: Claudia Prieto; Investigador principal: René Botnar; Investigador senior: Pablo Irarrázaval; Investigador adjunto: Cristián Tejos; Investigador adjunto: Rodrigo Cádiz -
“Center of Interventional Medicine for Precision and Advanced Cellular Therapy”, Centro Basal 2021-2031
Director alterno: René Botnar; Investigador Principal: Claudia Prieto -
“High-Risk Coronary Plaque Imaging With Super-Resolution Multi-Parametric MRI”. FONDECYT N° 1210638. 2021-2025
Investigador principal: René Botnar -
“Robust and Truly Comprehensive Quantitative Cardiac Magnetic Resonance Imaging. FONDECYT N° 1210637. 2021-2025
Co-investigador: René Botnar -
Multiparametric MRI for the investigation of coronary microvascular disease, NIH R01HL162872 2022-2026
Investigador principal: Claudia Prieto -
EPSRC Contrast-free Deep Myocardial Tissue Characterization with Cardiac MR Fingerprinting, 2021-2024
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar -
“Centre of Research Excellence”. BHF. 2019-2024
Co-Investigador: René Botnar -
“Multiparametric diagnosis of fatty liver disease with magnetic resonance fingerprinting”. PhD stipend co-funded by Siemens Healthcare Ltd. 2020-2024
Investigador principal: René Botnar -
“Center of Interventional Medicine for Precision and Advanced Cellular Therapy” BASAL, 2021-2031
Co-Director: René Botnar -
“Contrast-free Deep Myocardial Tissue Characterization With Cardiac MR Fingerprinting”. EPSRC standard grant (EP/V044087/1), 2021-2024
Co-Investigador: René Botnar -
“Super-resolution Coronary Magnetic Resonance Angiography: An Alternative to CT and X-ray Angiography. Hans Fischer Senior Fellowship Award. 2021-2024
Investigador principal: René Botnar -
“Coronary MR Angiography Multicentre study. Danish Health Insurance Multicentre Study”. 2021-2024
Investigador principal: René Botnar -
Wellcome EPSRC Centre for Medical Engineering. Wellcome Trust”
Co-Investigador: René Botnar -
A magnetic resonance imaging strategy for accessment of oxygenation and perfusion after revascularisation of the ischaemic limb. 2023 – 2025
Co-Investigador: René Botnar -
Optical coherence tomography with magnetic resonance angiography to assess STEMI non-culprit risk (OCT-RISK) 2023 – 2026
Co-Investigador: René Botnar -
MIDI: Magnetic Resonance Imaging Abnormality Deep Learning Identification 2022 – 2025
Co-Investigador: René Botnar -
Coronary MR Angiography Multicentre study. 2021 – 2024
Investigador principal: René Botnar -
Contrast-free Deep Myocardial Tissue Characterization With Cardiac MR Fingerprinting 2021 – 2024.
Co-Investigador: René Botnar -
Creativity and musicality of deep learning generative models for musical content. 2022 – 2026
Investigador principal: Rodrigo Cádiz -
Chilean Art Music: Cultural Practices as Heritage. 2022 – 2025
Director: Rodrigo Cádiz -
Análisis de música electroacústica chilena. 2022 – 2024
Investigador principal: Rodrigo Cádiz -
El traverso chileno: innovación en diseño y materiales para una flauta barroca sudamericana. Concurso de Creación y Cultura Artística, Dirección de Artes y Cultura, VRI, PUC. 2024-2025
Investigador principal: Patricio de la Cuadra -
Manos pensantes 2024 – 2025
Co-Investigador: Patricio De La Cuadra -
Antaras digitales: recuperación virtual del sonido ancestral 2023 – 2024
Investigador principal: Patricio De La Cuadra -
Modeling Overwater RF Propagation for IoT Wireless Network Design 2024 – 2027
Investigador principal: Miguel Gutiérrez -
Development of novel imaging techniques to study the brain in severe mental health disorders 2020 – 2024
Investigador principal: Cristián Tejos
Co-investigador: Pablo Irarrázaval -
Enabling technology for cutting-edge MRI research in Chile: towards intelligent and aordable medical imaging 2021 – 2024
Co-investigador: Cristián Tejos -
Latin American hub for bioimaging through open hardware 2022 – 2025
Investigador principal: Pablo Irarrázaval -
Development of Quantitative Susceptibility Mapping reconstruction algorithms for Abdominal Applications using Deep Learning Approaches 2023 – 2024
Investigador principal: Cristián Tejos -
Multi-user wireless networked control systems: A systematic design framework 2023 – 2026
Investigador principal: Alejandro Maass -
Stochastic string stability for vehicular platooning with imperfect communication channels 2024 – 2028
Investigador Asociado: Alejandro Maass -
Mejorar la calidad y robustez de Mapas Cuantitativos de Susceptibilidad Magnetica con Imagenes de Resonancia Magnetica, a partir del uso de una Red Variacional de Aprendizaje Profundo 2023 – 2024
Investigador responsable: Carlos Milovic -
Robust, Accurate, and Fast Quantitative Susceptibility Mapping with a Hybrid 2024 – 2027
Investigador responsable: Carlos Milovic -
Gestión Energética Inteligente de Infraestructura Sustentable de Riego en base a Energía Solar Fotovoltaica 2023 – 2025
Director: Matías Negrete-Pincetic -
Diseño e implementación de infraestructura tecnológica para la gestión inteligente de carga 2023 – 2025
Director: Matías Negrete-Pincetic -
Stochastic Stability Guarantees for a Class of (Industrial Cyber-Physical) Networked Control Systems 2024 – 2027
Director: Felipe Núñez -
Cloud Application for Real-time Estimation of the Penalty Factors in the National Power System 2023 – 2025
Director: Felipe Núñez -
Modular Cloud-based Industrial Control System for Next Generation Industry 4.0 Applications 2023 – 2025
Director: Felipe Núñez -
“Age of information as design metric for IoT-based networked control systems”. Fondecyt Regular 1211294. 2021-2024. Millennium Institute for SubAtomic
Investigador responsable: Felipe Núñez -
Cloud Application for Real-time Estimation of the Penalty Factors in the National Power System 2023 – 2025
Director: Felipe Núñez -
Cyber-physical systems for personalized healthcare: a data-driven approach for improved management of diabetes and hypertension 2021 – 2024
Investigador principal: Felipe Núñez -
A Power Converter For Full-electric Houses: A Comprehensive Home Electricity Service 2022 – 2024.
Director: Javier Pereda -
Fast charger for electric vehicles based on independent second-life lithium battery modules: enabling technology for smart charging management and flexible use of electrical infrastructure 2023 – 2025
Deputy director: Javier Pereda -
Distributed Model Predictive Control for AC/AC Modular Multilevel Converters: Towards Fully Flexible and Fault-Tolerant Topologies 2023 – 2027
Co-investigador: Javier Pereda -
Binary Neural Networks for Modular Multilevel Converters 2023 – 2026.
Co-investigador: Javier Pereda -
Integrated energy converter for green hydrogen production using renewable energies and high-cycle energy storage 2023 – 2027
Director: Javier Pereda -
Modular Multilevel Converter based High-Power Inductive Power Transfer Charger for Electric Transportation 2024 – 2028
Director: Féliz Rojas
Co-investigador: Javier Pereda -
Detection of High-Risk Plaque with Tropoelastin-Specific and Multicontrast Coronary MR 20202 – 2025
Co-investigador: Claudia Prieto -
Physics at the High-energy frontIeR (SAPHIR). Iniciativa Milenio. (2020-2025)
Investigador principal: Ángel Abusleme -
“INRIA Associate Team “BIO-SEL (Bilevel Optimization in Security, Energy and Logistics)” INRIA 2022-2024
Investigador principal: Vladimir Marianov -
“Task Optimization Using Deep Learning techniques for Dual-Arm Mobile Manipulator Robots in Agriculture”. Fondecyt 1220140. 2022 -2024
Investigador responsable: Miguel Torres -
Energy Aware Reinforcement Learning for Control of Autonomous Surface Vehicles Subjected to Uncertain Dynamic Conditions 2023 – 2025
Co-investigador: Miguel Torres -
“Quimal QUIMAL ASTRO20-0025, Chilean participation in the construction of a next generation spectrograph for astronomical”. Fondecyt regular 1211162, PLATOSPEC: A NEW TOOL FOR THE STUDY OF EXTRA SOLAR PLANETS.
Investigador responsable: Leonardo Vanzi -
“Energy Efficient Navigation Strategies for Autonomous N-trailer Vehicles in Agricultural Applications” Fondecyt Regular 1201319
Co-investigador: Miguel Torres -
“Multi-stop trips: the effect of customer complex choice rules over leader and follower facility locations in competitive contexts”. Fondecyt regular 1220047 – 2022-2025
Investigador principal: Vladimir Marianov
Año 2023
- “Advanced Conditioon Health MonitoringStrategies for Modular Multilevel Converters”. Open Seed Funds OSF2021-00194, Partner:
EPFL, Switzerland.2021-2023
Investigador principal: Félix Rojas - “International Center for Excellence in Solar Energy / Centro de Tecnologías para Energía Solar de Fraunhofer Chile Research (FCR-CSET)”. INNOVA. 2014-2023
Investigador asociado: Daniel Olivares, David Watts, Matías Negrete - “Fuente Eléctrica Programable de Alta Corriente para el Diseño de Conectores en Redes de Distribución”. Partner Company: Ferrertería Eléctrica Dumont Ltda. CORFO 20CVC-128063, 2020-2023
Investigador principal: Félix Rojas - Cargador Modular de vehículos eléctricos con Almacenamiento de Energía para Demanda Inteligente y Flexibilidad en la Utilización de Infraestructura Eléctrica. FONDEF IDEA ID20I10267, Director, Partner Company: Clever Group and EMOAC. 2020-2022
Investigador principal: Félix Rojas - “Robust Optimization for Power Systems with Diverse Energy Storage Technologies”. FONDECYT 1211378 Regular. 2021-2025
Investigador principal: Álvaro Lorca
Co-Investigador: Matías Negrete - “Diseño e implementación de infraestructura tecnológica para la gestión de consumos flexibles en sistemas eléctricos. Fondef ID17I20161. 2021-2023
Director: Matías Negrete - “Modular Multilevel Converters with Embedded Hybrid Energy Storage for Heavy-Duty Electric Transportation. 2022-2026. Fondecyt Project no. 1220928.
Investigador principal: Javier Pereda; Co-Investigador: Félix Rojas - “Advanced Predictive Control Strategies for Reliability Enhancement of Microgrids based on Matrix Converters. Fondecyt Regular 1220556, 2022-2026
Co-Investigador: Félix Rojas - “Associate Researcher, Solar Energy Research Center” Fondap 15110019 SERC-Chile, 2018-2024
Co-Investigador: Félix Rojas - “System for flexible testing of model based predicti ve and Artificially intelligent controlprocesses in electrical drive technology”, Principal Researcher-Chilean Section. BMBF KI-Power, 2020-2023
Co-Investigador: Félix Rojas - “Solar Energy Research Center (SERC-Chile)”. FONDAP (ANID). 2018–2023.
Investigador asociado: Álvaro Lorca - “Hydrogen Production in Hybrid Renewable Parks: Advanced Operational and Planning Models”. CORFO/Fraunhofer. 2021–2023
Director: Álvaro Lorca - Integrating drought monitoring and public policy design towards the proactive management of drought. Strategic Research Fund on Drought” (ANID). 2022–2023
Investigador asociado: Álvaro Lorca - “Intensity Learning for Off-Resonance Correction in MRI”. Fondecyt Regular 1210747. 2021-2025
Investigador principal: Pablo Irarrázaval - “Millennium Institute for Intelligent HealthcareEngineering (iHealth)” ICN2021 004. 2022-2026.
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos - “Música con sentido: Avances en la dimensión relacional-comunitaria y social-cultural del desarrollo humano integral desde una intervención musical comunitaria en escenarios no tradicionales”, Concurso de Investigación interdisciplinaria de la VRI
Co-investigador: Patricio de La Cuadra - “General Network Design Problems with Explicit Users’ Utility Functions FONDECYT Regular 1200706. 2020-2023.
Co-Investigador: Vladimir Marianov - “Enabling technology for cutting-edge MRI research in Chile: towards intelligent and afford- able medical imaging”. Fondequip de Equipamiento mayor, EQY210003. 2021-2023
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos - “Musical gesture and Instrument design in flute-like instruments”, Fondecyt regular 1201551. 2019-2023
Co-investigador: Patricio de La Cuadra - “Labios Musicales Autómatas. Concurso Artes & Tecnología, Ciencias y Humanidades”, Dirección de Artes y Cultura, VRI, PUC. Facultad: Instituto de Música/ Escuela de Ingeniería
Investigador principal: Patricio de La Cuadra - “Robust and Truly Comprehensive Quantitative Cardiac MRI”. Fondecyt Regular 1210637. 2021-2025
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “High-risk coronary plaque imaging with super-resolution multi-parametric MRI”. Fondecyt Regular 1210638. 2021-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Enabling Technology for Cutting-edge MRI Research in Chile: Towards Intelligent and Affordable Medical Imaging”. Fondequip 2021-2026
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “Detection of High-Risk Plaque withTropoelastin -Specific and Multicontrast Coronary MR. BHF Programme Grant. 2020-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Smart Medical Imaging” en King’s College London y Colegio Imperial de Londres. EPSRC Centre for Doctoral Training. 2019-2028
Co-investigador: Claudia Prieto - “Millennium Institute for Intelligent Healthcare Engineering (iHEALTH). ICN2021 004. 2021-2031
Directora: Claudia Prieto; Investigador principal: René Botnar; Investigador senior: Pablo Irarrázaval; Investigador adjunto: Cristián Tejos; Investigador adjunto: Rodrigo Cádiz - “Simultaneous Whole-Heart Coronary/Plaque and Myocardial Tissue Characterization”. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023
Co-investigador: Claudia Prieto - “Pushing the Limits of Spatial Resolution for Whole-heart Cardiac MR Angiography: Let’s get ready for Prime Time”. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Enabling technology for cutting-edge MRI research in Chile: towards intelligent and afford- able medical imaging” Fondequip de Equipamiento mayor. EQY210003. 2021-2023
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos; Co-investigador: René Botnar - “Center of Interventional Medicine for Precision and Advanced Cellular Therapy”, Centro Basal 2021-2031
Director alterno: René Botnar; Investigador Principal: Claudia Prieto - “High-Risk Coronary Plaque Imaging With Super-Resolution Multi-Parametric MRI”. FONDECYT N° 1210638. 2021-2025
Investigador principal: René Botnar - “Robust and Truly Comprehensive Quantitative Cardiac Magnetic Resonance Imaging. FONDECYT N° 1210637. 2021-2025
Co-investigador: René Botnar - Multiparametric MRI for the investigation of coronary microvascular disease, NIH R01HL162872 2022-2026
Investigador principal: Claudia Prieto - EPSRC Contrast-free Deep Myocardial Tissue Characterization with Cardiac MR Fingerprinting, 2021-2024
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “Centre of Research Excellence”. BHF. 2019-2024
Co-Investigador: René Botnar - “Multi-parametric tissue characterisation of myocardial inflammation in autoimmune rheumatic diseases using cardiovascular magnetic resonance imaging”. BHF Clinical Research Training Fellowship FS/20/13/34857. 2020-2023
Co-Investigador: René Botnar - “Multiparametric diagnosis of fatty liver disease with magnetic resonance fingerprinting”. PhD stipend co-funded by Siemens Healthcare Ltd. 2020-2024
Investigador principal: René Botnar - “Development of collagen-specific probes to quantify cardiac fibrosis; investigate the role of collagen on cardiac remodelling leading to heart failure and investigate the effects of new therapeutics that modulate the fibrotic response”. PhD stipend funded MRC-DTP. 2019-2023
Co-Investigador: René Botnar - “Technical Development and Clinical Validation of Novel Cardiovascular Magnetic Resonance Sequences for Simultaneous Coronary Artery Angiography and Vulnerable Plaque Characterisation”. PhD stipend co-funded by NIHR MedTech. 2019-2023
Co-Investigador: René Botnar - “Center of Interventional Medicine for Precision and Advanced Cellular Therapy” BASAL, 2021-2031
Co-Director:René Botnar - “Applied Control and Inverse Problems”. MILLENIUM NUCLEUS, 2020-2023
Investigador asociado: René Botnar - “Contrast-free Deep Myocardial Tissue Characterization With Cardiac MR Fingerprinting”. EPSRC standard grant (EP/V044087/1), 2021-2024
Co-Investigador: René Botnar - “Super-resolution Coronary Magnetic Resonance Angiography: An Alternative to CT and X-ray Angiography. Hans Fischer Senior Fellowship Award. 2021-2024
Investigador principal: René Botnar - “Coronary MR Angiography Multicentre study. Danish Health Insurance Multicentre Study”. 2021-2024
Investigador principal: René Botnar - Wellcome EPSRC Centre for Medical Engineering. Wellcome Trust”
Co-Investigador: René Botnar - “Age of information as design metric for IoT-based networked control systems”. Fondecyt Regular 1211294. 2021-2024. Millennium Institute for SubAtomic
Investigador responsable: Felipe Núñez - Physics at the High-energy frontIeR (SAPHIR). Iniciativa Milenio. (2020-2025)
Investigador principal: Ángel Abusleme - “INRIA Associate Team “BIO-SEL (Bilevel Optimization in Security, Energy and Logistics)” INRIA 2022-2024
Investigador principal: Vladimir Marianov - “Task Optimization Using Deep Learning techniques for Dual-Arm Mobile Manipulator Robots in Agriculture”. Fondecyt 1220140. 2022 -2024
Investigador responsable: Miguel Torres - “Quimal QUIMAL ASTRO20-0025, Chilean participation in the construction of a next generation spectrograph for astronomical”. Fondecyt regular 1211162, PLATOSPEC: A NEW TOOL FOR THE STUDY OF EXTRA SOLAR PLANETS.
Investigador responsable: Leonardo Vanzi - “Millennium Nucleus in Applied Control and Inverse Problems”, 2020-2023
Investigador principal: Andrés Guesalaga; Investigador principal: Claudia Prieto; Investigador adjunto: René Botnar - “Energy Efficient Navigation Strategies for Autonomous N-trailer Vehicles in Agricultural Applications” Fondecyt Regular 1201319
Co-investigador: Miguel Torres - “Multi-stop trips: the effect of customer complex choice rules over leader and follower facility locations in competitive contexts”. Fondecyt regular 1220047 – 2022-2025
Investigador principal: Vladimir Marianov - “Applied control and inverse problems (ACIP)”. Iniciativa Milenio NCN19_161. 2020-2023
Investigador asociado: Ángel Abusleme
Año 2022
- “Advanced Conditioon Health MonitoringStrategies for Modular Multilevel Converters”. Open Seed Funds OSF2021-00194, Partner:
EPFL, Switzerland.2021-20231
Investigador principal: Félix Rojas - “Sistema de monitoreo en tiempo real para maximizar la vida útil de paquetes de baterías en el transporte eléctrico terrestre”. Fondef Viu D20I10267. 2020-2022
Investigador principal: Félix Rojas; Investigador alterno: Javier Pereda - “Communication and Information Research and Innovation Center”
(CIRIC-CHILE). Innova. 2012-2022
Investigador asociado: Sebastián Ríos - “International Center for Excellence in Solar Energy / Centro de Tecnologías para Energía Solar de Fraunhofer Chile Research (FCR-CSET)”. INNOVA. 2014-2023
Investigador asociado: Daniel Olivares, David Watts, Matías Negrete - “Fuente Eléctrica Programable de Alta Corrientepara el Diseño de Conectores en Redes de Distribución”. Partner Company: Ferrertería Eléctrica Dumont Ltda. CORFO 20CVC-128063, 2020-2023
Investigador principal: Félix Rojas - Cargador Modular de vehículos eléctricos con Almacenamiento de Energía para Demanda Inteligente y Flexibilidad en la Utilización de Infraestructura Eléctrica. FONDEF IDEA ID20I10267, Director, Partner Company: Clever Group and EMOAC. 2020-2022
Investigador principal: Félix Rojas - “Robust Optimization for Power Systems with Diverse Energy Storage Technologies”. FONDECYT 1211378 Regular. 2021-2025
Investigador principal: Álvaro Lorca; Co-Investigador: Matías Negrete - “Desarrollo de una plataforma de gestión integrada de recursos hidroeléctricos para la planificación y operación del sistema eléctrico nacional”. FONDEF. 2020-2022
Director: Álvaro Lorca - “Diseño e implementación de infraestructura tecnológica para la gestión de consumos flexibles en sistemas eléctricos. Fondef ID17I20161. 2021-2023
Director: Matías Negrete - “Instituto Sistemas Complejos de Ingeniería”. Financiamiento Basal PIA AFB180003. 2019-2022
Director Adjunto: Vladimir Marianov; Investigador Asociado: Matías Negrete - “A Modular Solid-State Transformer for AC and DC Future Power Distribution Networks”. Fondecyt Iniciacion 11190806. Principal Investigator, Partners: The University of Nottingham, England; Munich University of Applied Science, Germany. 2019-2022
Investigador principal: Félix Rojas - “Solar Energy Research Center, SERC Chile”. Fondap 15110019. 2018-2022
Investigador asociado: Javier Pereda - “Modular Multilevel Converters with Embedded Hybrid Energy Storage for Heavy-Duty Electric Transportation. 2022-2026. Fondecyt Project no. 1220928.
Investigador principal: Javier Pereda; Co-Investigador: Félix Rojas - Variador de Frecuencia basado en Convertidor Modular Multinivel Matricial para Accionamiento de Máquinas Eléctricas en Minería”. Fondef IDEA ID19I10370, 2019-2022
Co-Investigador: Félix Rojas - “Modular Multilevel ConversionTechnologies for Future Generations of High-Power Machine Drives” Fondecyt 1180879, 2018-2022
Co-Investigador: Félix Rojas - ANID/PCI BMBF180054. Intelligent and fault-tolerant Modular Multilevel Converters (MMCs) for future renewable energy systems under arbitrary grid faults”. Pontificia Universidad Católica and Munich University MUAS. 2019-2022
Investigador asociado: Javier Pereda; Investigador responsable: Félix Rojas - “Advanced Predictive Control Strategies for Reliability Enhancement of Microgrids based on Matrix Converters. Fondecyt Regular 1220556, 2022-2026
Co-Investigador: Félix Rojas - “System for flexible testing of model based predicti ve and Artificially intelligent controlprocesses in electrical drive technology”, Principal Researcher-Chilean Section. BMBF KI-Power, 2020-2023
Co-Investigador: Félix Rojas - “Solar Energy Research Center (SERC-Chile)”. FONDAP (ANID). 2018–2023.
Investigador asociado: Álvaro Lorca - “Hydrogen Production in Hybrid Renewable Parks: Advanced Operational and Planning Models”. CORFO/Fraunhofer. 2021–2023
Director: Álvaro Lorca - Integrating drought monitoring and public policy design towards the proactive management of drought. Strategic Research Fund on Drought” (ANID). 2022–2023
Investigador asociado: Álvaro Lorca - “Latin American hub for bioimaging through open hardware, Chan Zuckerberg Initiative. 2022”
Investigador principal: Pablo Irarrázaval - “Impact of the use a multifaceted intervention of environment control in the ICU to optimize quantity and quality of sleep in critically ill patients. Fondecyt regular 1201772. 2022
Co-investigador: Rodrigo Cádiz - “Intensity Learning for Off-Resonance Correction in MRI”. Fondecyt Regular 1210747. 2021-2025
Investigador principal: Pablo Irarrázaval - “Integrate quantitative susceptibility mapping using deep learning”. Fondecyt Regular 1191710. 2019-2022.
Investigador responsable: Cristián Tejos; Co-Investigador: Pablo Irarrázaval - “Millennium Institute for Intelligent HealthcareEngineering (iHealth)” ICN2021 004. 2022-2026.
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos - “Música con sentido: Avances en la dimensión relacional-comunitaria y social-cultural del desarrollo humano integral desde una intervención musical comunitaria en escenarios no tradicionales”, Concurso de Investigación interdisciplinaria de la VRI
Co-investigador: Patricio de La Cuadra - “General Network Design Problems with Explicit Users’ Utility Functions FONDECYT Regular 1200706. 2020-2023.
Co-Investigador: Vladimir Marianov - “whole-heart MRI for improved management of patients with congenital heart disease”. BHF (British Heart Foundation). 2019-2022
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “Self-Navigated Multi-Contrast and Quantitative Whole Heart 3D Magnetic Resonance Imaging”. EPSRC. 2017-2022
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Enabling technology for cutting-edge MRI research in Chile: towards intelligent and afford- able medical imaging”. Fondequip de Equipamiento mayor, EQY210003. 2021-2023
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos - “Musical gesture and Instrument design in flute-like instruments”, Fondecyt regular 1201551. 2019-2023
Co-investigador: Patricio de La Cuadra - “Labios Musicales Autómatas. Concurso Artes & Tecnología, Ciencias y Humanidades”, Dirección de Artes y Cultura, VRI, PUC. Facultad: Instituto de Música/ Escuela de Ingeniería
Investigador principal: Patricio de La Cuadra - “Robust and Truly Comprehensive Quantitative Cardiac MRI”. Fondecyt Regular 1210637. 2021-2025
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “High-risk coronary plaque imaging with super-resolution multi-parametric MRI”. Fondecyt Regular 1210638. 2021-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Multidimensional and Multiparametric Quantitative Cardiac MRI from Continuous Free-Breathing Acquisition”. EPSRC (Engineering and Physics Sciences Research Council, UK. 2017-2022
Investigador principal: Claudia Prieto - “Enabling Technology for Cutting-edge MRI Research in Chile: Towards Intelligent and Affordable Medical Imaging”. Fondequip 2021-2026
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “Detection of High-Risk Plaque withTropoelastin -Specific and Multicontrast Coronary MR. BHF Programme Grant. 2020-2025
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Smart Medical Imaging” en King’s College London y Colegio Imperial de Londres. EPSRC Centre for Doctoral Training. 2019-2028
Co-investigador: Claudia Prieto - Millennium Institute for Intelligent Healthcare Engineering (iHEALTH). ICN2021 004. 2021-2031
Directora: Claudia Prieto; Investigador principal: René Botnar; Investigador senior: Pablo Irarrázaval; Investigador adjunto: Cristián Tejos; Investigador adjunto: Rodrigo Cádiz - “Simultaneous Whole-Heart Coronary/Plaque and Myocardial Tissue Characterization”. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023
Co-investigador: Claudia Prieto - “Pushing the Limits of Spatial Resolution for Whole-heart Cardiac MR Angiography: Let’s get ready for Prime Time”. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Enabling technology for cutting-edge MRI research in Chile: towards intelligent and afford- able medical imaging” Fondequip de Equipamiento mayor. EQY210003. 2021-2023
Investigador principal: Claudia Prieto; Co-investigador: Pablo Irarrázaval; Co-investigador: Cristián Tejos; Co-investigador: René Botnar - “A Simultaneous Multicontrast PETMR Sequence for Comprehensive Coronary Plaque Characterisation”. PhD stipend co-funded by Siemens Healthcare Ltd. 2018-2022
Investigador principal: Claudia Prieto - “Development of novel imaging techniques to study the brain in severe mental health disorders”. ANID PIA Anillo ACT192064. 2019-2022
Investigador principal: Cristián Tejos; Co-investigador: Pablo Irarrázaval - “Center of Interventional Medicine for Precision and Advanced Cellular Therapy”, Centro Basal 2021-2031
Director alterno: René Botnar; Investigador Principal: Claudia Prieto - “High-Risk Coronary Plaque Imaging With Super-Resolution Multi-Parametric MRI”. FONDECYT N° 1210638. 2021-2025
Investigador principal: René Botnar - “Robust and Truly Comprehensive Quantitative Cardiac Magnetic Resonance Imaging. FONDECYT N° 1210637. 2021-2025
Co-investigador: René Botnar - Multiparametric MRI for the investigation of coronary microvascular disease, NIH R01HL162872 2022-2026
Investigador principal: Claudia Prieto - EPSRC Contrast-free Deep Myocardial Tissue Characterization with Cardiac MR Fingerprinting, 2021-2024
Investigador principal: Claudia Prieto; Co-Investigador: René Botnar - “Centre of Research Excellence”. BHF. 2019-2024
Co-Investigador: René Botnar - “Quantification and modulation of vascular inflammatory activity for the detection and treatment of high-risk atherosclerotic plaque”. BHF project grant. 2020-2022
Co-Investigador: René Botnar - “Multi-parametric tissue characterisation of myocardial inflammation in autoimmune rheumatic diseases using cardiovascular magnetic resonance imaging”. BHF Clinical Research Training Fellowship FS/20/13/34857. 2020-2023
Co-Investigador: René Botnar - “Multiparametric diagnosis of fatty liver disease with magnetic resonance fingerprinting”. PhD stipend co-funded by Siemens Healthcare Ltd. 2020-2024
Investigador principal: René Botnar - “Development of collagen-specific probes to quantify cardiac fibrosis; investigate the role of collagen on cardiac remodelling leading to heart failure and investigate the effects of new therapeutics that modulate the fibrotic response”. PhD stipend funded MRC-DTP. 2019-2023
Co-Investigador: René Botnar - “Center of Interventional Medicine for Precision and Advanced Cellular Therapy”, Centro Basal 2021-2031
Director alterno: René Botnar; Investigador Principal: Claudia Prieto - “High-Risk Coronary Plaque Imaging With Super-Resolution Multi-Parametric MRI”. FONDECYT N° 1210638. 2021-2025
Investigador principal: René Botnar - “Technical Development and Clinical Validation of Novel Cardiovascular Magnetic Resonance Sequences for Simultaneous Coronary Artery Angiography and Vulnerable Plaque Characterisation”. PhD stipend co-funded by NIHR MedTech. 2019-2023
Co-investigador: René Botnar - “Center of Interventional Medicine for Precision and Advanced Cellular Therapy” BASAL, 2021-2031
Co-Director:René Botnar - “Applied Control and Inverse Problems”. MILLENIUM NUCLEUS, 2020-2023
Investigador asociado: René Botnar - “Contrast-free Deep Myocardial Tissue Characterization With Cardiac MR Fingerprinting”. EPSRC standard grant (EP/V044087/1), 2021-2024
Co-Investigador: René Botnar - “Super-resolution Coronary Magnetic Resonance Angiography: An Alternative to CT and X-ray Angiography. Hans Fischer Senior Fellowship Award. 2021-2024
Investigador principal: René Botnar - “Coronary MR Angiography Multicentre study. Danish Health Insurance Multicentre Study”. 2021-2024
Investigador principal: René Botnar - “Simultaneous Non-Contrast Free Breathing 3D High Resolution Magnetic Resonance Coronary Artery Angiography and High-Risk Plaque Imaging”. BHF Clinical Research Training Fellowship FS/CRTF/20/24011. 2020-2022
Investigador principal: René Botnar - “An efficient free-breathing 3D whole-heart T2-mapping imaging method, which provides myocardial inflammation characterisation and respiratory motion information to correct simultaneously acquired PET data in a 3T hybrid PET-MR system”. PhD stipend
co-funded by Siemens Healthcare Ltd. 2018-2022
Co-Investigador: René Botnar - “MedTech In Vitro Diagnostic Cooperative (MIC)”. NIHR – National Institute for Health Research. 2018-2022
Co-Investigador: René Botnar - “Wellcome EPSRC Centre for Medical Engineering. Wellcome Trust”
Co-Investigador: René Botnar - SmartHeart “Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning”. King’s College London. EPSRC programme grant (EP/P001009/1). 2016-2022
Investigador principal: René Botnar; Co-investigador: Claudia Prieto - “Age of information as design metric for IoT-based networked control systems”. Fondecyt Regular 1211294. 2021-2024. Millennium Institute for SubAtomic
Investigador responsable: Felipe Núñez - Physics at the High-energy frontIeR (SAPHIR). Iniciativa Milenio. (2020-2025)
Investigador principal: Ángel Abusleme - “INRIA Associate Team “BIO-SEL (Bilevel Optimization in Security, Energy and Logistics)” INRIA 2022-2024
Investigador principal: Vladimir Marianov - “A new scintillation-based sensor for measuring the complete atmospheric turbulence profile”. Fondecyt Regular 1190186. 2019-2022
Investigador responsable: Andrés Guesalaga - “A multi-variable IoT-ready artificial pancreas for type 1 diabetes control”. VRI-UC. 2020-2022
Investigador responsable:Felipe Núñez - “Task Optimization Using Deep Learning techniques for Dual-Arm Mobile Manipulator Robots in Agriculture”. Fondecyt 1220140. 2022 -2024
Investigador responsable: Miguel Torres - “Quimal QUIMAL ASTRO20-0025, Chilean participation in the construction of a next generation spectrograph for astronomical”. Fondecyt regular 1211162, PLATOSPEC: A NEW TOOL FOR THE STUDY OF EXTRA SOLAR PLANETS.
Investigador responsable: Leonardo Vanzi - “Millennium Nucleus in Applied Control and Inverse Problems”, 2020-2023
Investigador principal: Andrés Guesalaga; Investigador principal: Claudia Prieto; Investigador adjunto: René Botnar - “Sistema de supervisión y alerta temprana para los servicios de agua potable urbanos concesionados”. CORFO Bienes Públicos 19BP117371i2019-2022
Director: Felipe Núñez - “Energy Efficient Navigation Strategies for Autonomous N-trailer Vehicles in Agricultural Applications” Fondecyt Regular 1201319
Co-investigador: Miguel Torres - “Multi-stop trips: the effect of customer complex choice rules over leader and follower facility locations in competitive contexts”. Fondecyt regular 1220047 – 2022-2025
Investigador principal: Vladimir Marianov - “Industrial Cyber-physical systems for smart mining: industrial electronics 4.0 and Data-Driven Process control”. ANID PIA Anillo ACT192013. 2019-2022.
Director: Felipe Núñez; Investigador principal: Javier Pereda - “Applied control and inverse problems (ACIP)”. Iniciativa Milenio NCN19_161. 2020-2023
Investigador asociado: Ángel Abusleme
Año 2021
- Intensity Learning for Off-Resonance Correction in MRI. Fondecyt Regular 1210747. 2021-2025.
Investigador responsable: Pablo Irarrázaval - Integrate quantitative susceptibility mapping using deep learning. Fondecyt Regular 1191710. 2019-2022.
Investigador responsable: Cristián Tejos
Coinvestigador: Pablo Irarrázaval - Cardiovascular mr function: new insights from intracardiac flows and strain analysis. Fondecyt Regular 1181057. 2018- 2021
Coinvestigador: Pablo Irarrázaval - Integrated quantitative susceptibility mapping using deep learning. Iniciativa Milenio. NCN17_129. 2018-2021.
Investigador adjunto: Cristián Tejos - General Network Design Problems with Explicit Users’ Utility Functions. FONDECYT Regular 1200706. 2020-2023.
Coinvestigador: Vladimir Marianov - Facility location with multiactivity trips: The leader’s problem and discrete choice modeling. FONDECYT Regular 1190064. 2019-2021
Investigador responsable: Vladimir Marianov - Robust and Truly Comprehensive Quantitative Cardiac MRI. Fondecyt Regular 1210637. 2021-2025.
Investigador principal: Claudia Prieto - High-risk coronary plaque imaging with super-resolution multi-parametric MRI. Fondecyt Regular 1210638. 2021-2025.
Coinvestigador: Claudia Prieto - Millenium Nucleus in Applied Control and Inverse Problems. Iniciativa Milenio. 2021-2024.
Investigador Asociado: Claudia Prieto - Multidimensional and Multiparametric Quantitative Cardiac MRI from Continuous Free-Breathing Acquisition. EPSRC (Engineering and Physics Sciences Research Council, UK. 2017-2022.
Investigador Principal: Claudia Prieto - Gadolinium-free multi-contrast 3D whole-heart MRI for improved management of patients with congenital heart disease. BHF (British Heart Foundation). 2019-2022,
Investigador principal: Claudia Prieto - Detection of High-Risk Plaque with Tropoelastin-Specific and Multicontrast Coronary MR. BHF Programme Grant. 2020-2025.
Coinvestigador. Claudia Prieto - “Smart Medical Imaging” en King’s College London y Colegio Imperial de Londres. EPSRC Centre for Doctoral Training. 2019-2028.
Coinvestigador: Claudia Prieto - SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning. EPSRC Programme Grant. 2016-2022.
Co-investigador: Claudia Prieto - Self-Navigated Multi-Contrast and Quantitative Whole Heart 3D Magnetic Resonance Imaging. EPSRC. 2017-2022
Co-investigador: Claudia Prieto - Radiomics analysis of multiparametric quantitative cardiac MR for improved diagnosis of Heart Failure. BHF Centre of Excellence. 2020-2021
Investigador Principal: Claudia Prieto - Cardiovascular MeTech Co-operative Pump Prime, “PET-MR to improve Diagnosis of Cardiac Sarcoidosis. NIHR. 2020-2021.
Investigador Principal: Claudia Prieto - Simultaneous Non-Contrast Free-Breathing 3D High Resolution Magnetic Resonance Coronary Artery Angiography and High-Risk Plaque Imaging. NIHR. 2020-2021.
Co-investigador: Claudia Prieto - Pushing the Limits of Spatial Resolution for Whole-heart Cardiac MR Angiography: Let’s get ready for Prime Time. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023.
Co-investigador: Claudia Prieto - A Simultaneous Multicontrast PETMR Sequence for Comprehensive Coronary Plaque Characterisation. PhD stipend co-funded by Siemens Healthcare Ltd. 2018-2022
Investigador Principal: Claudia Prieto - Simultaneous Whole-Heart Coronary/Plaque and Myocardial Tissue Characterization. PhD stipend co-funded by Siemens Healthcare Ltd. 2019-2023
Co-investigador: Claudia Prieto - Computational Collaborative Project in Synergistic PET-MR Reconstruction”, Coinvestigator. EPSRC. 2015-2021.
Co-investigador: Claudia Prieto - Development of novel imaging techniques to study the brain in severe mental health disorders. ANID PIA Anillo ACT192064. 2019-2022.
Director: Cristián Tejos - Cutting-edge Exoplanetary Science Using the First Generation of Chilean-funded Astronomical Optical Instrumentation. FONDECYT. 2018 – 2021
Patrocinante: Leonardo Vanzi - Experimental Particle Physics with Daya Bay, JUNO and ATLAS. FONDECYT. 2018-2021
Coinvestigador: Angel Abusleme - Modular Integrated circuits desing and its application in instrumentation circuits for particle physics experiments. FONDECYT. 2017-2021
Investigador responsible: Angel Abusleme - Millennium Institute for SubAtomic Physics at the High-energy frontIeR (SAPHIR). Iniciativa Milenio. (2020-2025)
Investigador Principal: Ángel Abusleme - A new scintillation-based sensor for measuring the complete atmospheric turbulence profile. Fondecyt Regular 1190186. 2019-2022
Investigador responsable: Andrés Guesalaga - Applied control and inverse problems (ACIP). Iniciativa Milenio NCN19_161. 2020-2023
Investigador Asociado: Andrés Guesalaga - Age of information as design metric for IoT-based networked control systems. Fondecyt Regular 1211294. 2021-2024.
Investigador Responsable: Felipe Núñez - A multi-variable IoT-ready artificial pancreas for type 1 diabetes control. VRI-UC. 2020-2022.
Investigador Responsable: Felipe Núñez - Sistema de supervisión y alerta temprana para los servicios de agua potable urbanos concesionados. CORFO Bienes Públicos 19BP-117371i2019-2022
Director: Felipe Núñez - Industrial Cyber-physical systems for smart mining: industrial electronics 4.0 and Data-Driven Process control. ANID PIA Anillo ACT192013. 2019-2022.
Director: Felipe Núñez - Centro de Investigación en Energía Solar SERC-Chile. FONDAP. 2017-2022
Investigador Asociado: Alvaro Lorca, David Watts
Investigador: Matías Negrete, Daniel Olivares - Communication and Information Research and Innovation Center (CIRIC-CHILE). Innova. 2012-2022
Investigador asociado: Sebastián Ríos - International Center for Excellence in Solar Energy / Centro de Tecnologías para Energía Solar de Fraunhofer Chile Research (FCR-CSET). INNOVA. 2014-2023
Investigador asociado: Daniel Olivares, David Watts, Matías Negrete - Local Energy Markets for Sustainable Microgrids: Design, Modeling and Simulation. FONDECYT. 2018-2021
Investigador responsible: Daniel Olivares
Coinvestigador: Alvaro Lorca, Matías Negrete - Risk Renewable Energy and Complementarity: Closing the GAP Between Portfolio Theory and Power System Planning FONDECYT. 2018-2021
Investigador responsible: David Watts
Coinvestigador: Hugh Rudnick, Matías Negrete - Robust Optimization for Power Systems with Diverse Energy Storage Technologies. FONDECYT Regular. 2021-2025.
Investigador principal: Álvaro Lorca
Co-investigador: Matías Negrete - Desarrollo de una plataforma de gestión integrada de recursos hidroeléctricos para la planificación y operación del sistema eléctrico nacional. FONDEF. 2020-2022
Director: Álvaro Lorca - Diseño e implementación de infraestructura tecnológica para la gestión de consumos flexibles en sistemas eléctricos. Fondef ID17I20161. 2021-2023
Director: Matías Negrete - Instituto Sistemas Complejos de Ingeniería. Financiamiento Basal PIA AFB180003. 2019-2022.
Investigador Asociado: Matías Negrete - Modular Charger for Electric Vehicles with Energy Storage for Smart Demand and Flexibility in the use of Electrical Infrastructure. ANID FONDEF ID20i10267. 2021-2023.
Director alterno: Javier Pereda - Cyber-physical systems for smart mining: Industrial electronics 4.0 and data-driven process control. ANID PIA ACT192013. 2020-2023.
Investigador titular: Javier Pereda - Solar Energy Research Center, SERC Chile. Fondap 15110019. 2018-2022
Coinvestigador: Javier Pereda - Direct and Resonant Modular Multilevel Converters for Power Networks. Fondecyt Regular 1171142. 2017-2021.
Investigador Responsable: Javier Pereda
Año 2020
- Aceleración y Validación de adquisiciones de datos de 4D flow obtenidos por resonancia magnética cardiovascular. FONDECYT. 2017 – 2020
Investigador Patrocinante: Pablo Irarrázaval - Free breathing 3D Cardiac Multiparametric Magnetic Resonance Fingerprinting. FONDECYT. 2016 – 2020
Investigador Responsable: Claudia Prieto
Coinvestigador: Pablo Irarrázaval - Identifying systemic, cellular and molecular features of metabolically normal and abnormal overweight/obesity. FONDECYT. 2017 – 2020
Coinvestigador: Pablo Irarrázaval - Multiscale Inversion of Porous Rock Physics using High-Perfomance Simulator: Bridging the Gap between Mathematics and Geophysics (MATHROCKS). Horizonte 2020, Internacional. 2017 – 2021
Investigador Asociado: Carlos Jerez - Sonification of medical data. FONDECYT. 2016 – 2020
Coinvestigador: Pablo Irarrázaval - Uncertainty Quantification and Advanced Boundary Element Methods for Electromagnetic Wave Scattering Problems. FONDECYT. 2017 – 2020
Investigador Responsable: Carlos Jerez - Cutting-edge Exoplanetary Science Using the First Generation of Chilean-funded Astronomical Optical Instrumentation. FONDECYT. 2018 – 2021
Patrocinante: Leonardo Vanzi - Enhancing motion perfomance of automated machinery in agricultural environments based on bayesian estimation approaches . FONDECYT. 2017 – 2020
Coinvestigador: Miguel Torres - The Tao Aiuc high Resolution Y band Spectrograph – TARdYS. ASTRONOMIA. 2017 – 2020
Investigador Asociado: Leonardo Vanzi - Neutrino Astrophysics in Chile. ASTRONOMIA 2017-2020
Investigador asociado: Angel Abusleme - Centro de Investigación en Energía Solar SERC-Chile. FONDAP. 2017-2022
Investigador Asociado: Alvaro Lorca, David Watts
Investigador: Matías Negrete, Daniel Olivares - Communication and Information Research and Innovation Center (CIRIC-CHILE). Innova. 2012-2022
Investigador asociado: Sebastián Ríos - Diseño e implementación de infraestructura tecnológica para la gestión efectiva de consumos flexibles en sistemas eléctricos. FONDEF. 2018-2020
Director: Matías Negrete
Subdirector: Daniel Olivares
Investigador: Alvaro Lorca, Christian Oberli - International Center for Excellence in Solar Energy / Centro de Tecnologías para Energía Solar de Fraunhofer Chile Research (FCR-CSET). INNOVA. 2014-2023
Investigador asociado: Daniel Olivares, David Watts, Matías Negrete - Local Energy Markets for Sustainable Microgrids: Design, Modeling and Simulation. FONDECYT. 2018-2021
Investigador responsible: Daniel Olivares
Coinvestigador: Alvaro Lorca, Matías Negrete - Optimization under Uncertainty for Power System Resilience FONDECYT. 2017-2020
Investigador responsible: Alvaro Lorca - Risk Renewable Energy and Complementarity: Closing the GAP Between Portfolio Theory and Power System Planning FONDECYT. 2018-2021
Investigador responsible: David Watts
Coinvestigador: Hugh Rudnick, Matías Negrete - Characterizing patterns of spatio-temporal variability in snow properties trough field and remotely sensed observations. FONDECYT. 2017-2020
Coinvestigador: Christian Oberli - Experimental Particle Physics with Daya Bay, JUNO and ATLAS. FONDECYT. 2018-2021
Coinvestigador: Angel Abusleme - Experimental Particle Physics with Daya Bay, JUNO and ATLAS. FONDECYT. 2018-2021
Coinvestigador: Angel Abusleme - Modular Integrated circuits desing and its application in instrumentation circuits for particle physics experiments. FONDECYT. 2017-2021
Investigador responsible: Angel Abusleme - Millennium Institute for SubAtomic Physics at the High-energy frontIeR (SAPHIR). Iniciativa Milenio. (2020-2025)
Investigador Principal: Ángel Abusleme - Enhancing motion perfomance of automated machinery in agricultural environments based on bayesian estimation approaches. FONDECYT. 2017-2020
Coinvestigador: Miguel Torres - Sistema de Análisis de Big Data en Refinerías Electrolíticas para el Mejoramiento de la Automatización y Gestión Operacional: caso Chuquicamata. FONDEF. 2017-2020
Director: Aldo Cipriano
Subdirector: Felipe Núñez
Año 2019
- “Cardiovascular MR function: new insights from intracardiac flows and strain analysis” FONDECYT 1181057. 2018-2022. Investigador responsable: Marcelo Andia Co- investigadores: Sergio Uribe
- “Understanding the relationship between venous thrombosis and atherosclerosis: the monocyte link” Fondecyt Regular 1180525. 2018-2022. Investigador responsable: Marcelo Andia Co- investigadores: Sergio Uribe
- “Núcleo Milenio en Resonancia Magnética Cardiovascular” 2018-2021. Asociados Director: Sergio Uribe co.-Director: Marcelo Andía Senior: Pablo Irarrazaval Adjuntos: Cristián Tejos
- “Magnetic resonance fingerprinting: technical developments and clinical applications” Redes 180090. 2018-2019. “Magnetic resonance fingerprinting: technical developments and clinical applications” Redes 180090. 2018-2019. Investigador Asociado: Marcelo Andía
- “Dispositivo de espectroscopia de infrarojo cercano para el registro no invasivo de la respuesta neurovascular de la médula espinal gatillado por estimulación periférica“ FONDEF IDeA ID18I10064. 2018-2020. Director: Sergio Uribe
- “Multi-sequence MRI characterisation of deep vein thrombosis in man”. British Heart Foundation, BHF15/89/31793. Division of Imaging Sciences, King’s College London, UK.” 2016–2019. Colaborador Internacional: Marcelo Andía
- Aceleración y Validación de adquisiciones de datos de 4D flow obtenidos por resonancia magnética cardiovascular. FONDECYT. 2017 – 2020 Investigador Patrocinante: Pablo Irarrázaval
- Free breathing 3D Cardiac Multiparametric Magnetic Resonance Fingerprinting. FONDECYT. 2016 – 2020 Investigador Responsable: Claudia Prieto Coinvestigador: Pablo Irarrázaval
- Identifying systemic, cellular and molecular features of metabolically normal and abnormal overweight/obesity. FONDECYT. 2017 – 2020 Coinvestigador: Pablo Irarrázaval
- Improving Quantitative Susceptibility Mapping reconstruction methods based on MRI acquisitions. FONDECYT. 2016 – 2019 Investigador Responsable: Cristián Tejos
- Multiscale Inversion of Porous Rock Physics using High-Perfomance Simulator: Bridging the Gap between Mathematics and Geophysics (MATHROCKS). Horizonte 2020, Internacional. 2017 – 2021 Investigador Asociado: Carlos Jerez
- Sonification of medical data. FONDECYT. 2016 – 2020 Coinvestigador: Pablo Irarrázaval
- Uncertainty Quantification and Advanced Boundary Element Methods for Electromagnetic Wave Scattering Problems. FONDECYT. 2017 – 2020 Investigador Responsable: Carlos Jerez
- High-Performance Computing for Multiple Traces Formulation. PCI. 2016-2019 Investigador responsible: Carlos Jerez
- Advanced Research in Adaptive Optics for Extremely Large Telescopes. FONDECYT. 2015 – 2019 Investigador Responsable: Christian Dani Guzmán
- Cutting-edge Exoplanetary Science Using the First Generation of Chilean-funded Astronomical Optical Instrumentation. FONDECYT. 2018 – 2021 Patrocinante: Leonardo Vanzi
- Enhancing motion perfomance of automated machinery in agricultural environments based on bayesian estimation approaches . FONDECYT. 2017 – 2020 Coinvestigador: Miguel Torres
- Point Spread function Reconstruction in Tomographic Adaptative Optics. FONDECYT. 2016 – 2019 Investigador Responsable: Andrés Guesalaga
- The Tao Aiuc high Resolution Y band Spectrograph – TARdYS. ASTRONOMIA. 2017 – 2020 Investigador Asociado: Leonardo Vanzi
- Neutrino Astrophysics in Chile. ASTRONOMIA 2017-2020 Investigador asociado: Angel Abusleme
- Agent-Based Modeling and Simulation for Energy Markets. PCI. 2018-2019 Investigador responsable: Alvaro Lorca Investigador Asociado: Matías Negrete; Daniel Olivares
- Centro de Investigación en Energía Solar SERC-Chile. FONDAP. 2017-2022 Investigador Asociado: Alvaro Lorca, David Watts Investigador: Matías Negrete, Daniel Olivares
- Communication and Information Research and Innovation Center (CIRIC-CHILE). Innova. 2012-2022 Investigador asociado: Sebastián Ríos
- Diseño e implementación de infraestructura tecnológica para la gestión efectiva de consumos flexibles en sistemas eléctricos. FONDEF. 2018-2020 Director: Matías Negrete Subdirector: Daniel Olivares Investigador: Alvaro Lorca, Christian Oberli
- International Center for Excellence in Solar Energy / Centro de Tecnologías para Energía Solar de Fraunhofer Chile Research (FCR-CSET). INNOVA. 2014-2023 Investigador asociado: Daniel Olivares, David Watts, Matías Negrete
- Local Energy Markets for Sustainable Microgrids: Design, Modeling and Simulation. FONDECYT. 2018-2021 Investigador responsible: Daniel Olivares Coinvestigador: Alvaro Lorca, Matías Negrete
- Optimization under Uncertainty for Power System Resilience FONDECYT. 2017-2020 Investigador responsible: Alvaro Lorca
- Risk Renewable Energy and Complementarity: Closing the GAP Between Portfolio Theory and Power System Planning FONDECYT. 2018-2021 Investigador responsible: David Watts Coinvestigador: Hugh Rudnick, Matías Negrete
- Characterizing patterns of spatio-temporal variability in snow properties trough field and remotely sensed observations. FONDECYT. 2017-2020 Coinvestigador: Christian Oberli
- Effects of consumer behavior on agglomeration of competitive facilities. FONDECYT. 2016-2019 Investigador responsible: Vladimir Marianov
- Experimental Particle Physics with Daya Bay, JUNO and ATLAS. FONDECYT. 2018-2021 Coinvestigador: Angel Abusleme
- Experimental Particle Physics with Daya Bay, JUNO and ATLAS. FONDECYT. 2018-2021 Coinvestigador: Angel Abusleme
- Instituto Sistemas Complejos de Ingeniería (ISCI). PIA. 2014-2019 Subdirector: Vladimir Marianov Investigador asociado: Daniel Olivares, Matías Negrete
- Modular Integrated circuits desing and its application in instrumentation circuits for particle physics experiments. FONDECYT. 2017-2021 Investigador responsible: Angel Abusleme
- Distributed Multi-Agent Control for the Internet of Things. FONDECYT. 2016-2019 Investigador responsible: Felipe Núñez
- Enhancing motion perfomance of automated machinery in agricultural environments based on bayesian estimation approaches. FONDECYT. 2017-2020 Coinvestigador: Miguel Torres
- Sistema de Análisis de Big Data en Refinerías Electrolíticas para el Mejoramiento de la Automatización y Gestión Operacional: caso Chuquicamata. FONDEF. 2017-2020 Director: Aldo Cipriano Subdirector: Felipe Núñez