Últimas Publicaciones
(2020)
23nd International Conference on Database Theory (ICDT) 155
(2020)
23nd International Conference on Database Theory (ICDT) 155
Gómez-Cabrera, A. , Salazar, L. A. , Ponz-Tienda, J. L. & Alarcón, L. F. 2020, ‘Lean Tools Proposal to Mitigate Delays and Cost Overruns in Construction Projects’ In:, Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, California, USA, 6-10 Jul 2020. pp 781-792
(2020)
Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, Cali 781-792
Iván La Fé-Perdomo, Gerardo Beruvides, Ramón Quiza, Jorge Ramos-Grez (2020) Multi-Objective Approaches Applied to Manufacturing Processes. Advances in Engineering Research, 38: 160-190
(2020)
Advances in Engineering Research 38 160-190
Retamal, F. , Salazar, L. A. , Herrera, R. F. & Alarcón, L. F. 2020, ‘Exploring the Relationship Among Planning Reliability (PPC), Linguistic Action Indicators and Social Network Metrics’ In:, Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, California, USA, 6-10 Jul 2020. pp 109-118
(2020)
Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, Cali 109-118
Lagos, C. ,
Alarcón, L. F. , Basoalto, F. & Río, Ó. D. 2020, ‘Using Reasons for Non-Compliance to Assess Project Performance in the Last Planner System®’ In:, Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, California, USA, 6-10 Jul 2020. pp 241-252
(2020)
Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, Cali 241-252
Lagos, C. & Alarcón, L. F. 2020, ‘Using Percent Plan Completed for Early Success Assessment in the Last Planner System®’ In:, Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, California, USA, 6-10 Jul 2020. pp 469-480
(2020)
Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, Cali 469-480
(2020)
Revista Habitat y Sociedad 13 169-179
Lasers battle against COVID-19
(2020)
Industrial Laser Solutions for Manufacturing
(2020)
REHABEND 2694-2702
I. Oksuz et al., «Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation, » in IEEE Transactions on Medical Imaging, vol. 39, no. 12, pp. 4001-4010, Dec. 2020, doi: 10.1109/TMI.2020.3008930.
(2020)
IEEE Transactions on Medical Imaging
B Eck, S Flamm, DH Kwon, WH Wilson Tang, C Prieto, N Seiberlich. Cardiac magnetic resonance fingerprinting: Trends in technical development and potential clinical applications. Progress in Nuclear Magnetic Resonance Spectroscopy 2020, 122:11-22
(2020)
Progress in Nuclear Magnetic Resonance Spectroscopy 122 11-22
Mella, D.,
Brevis, W., & Susmel, L. (2020). Single cylinder subjected to vortex-induced vibrations: estimating cyclic stresses for fatigue assessment. Procedia Structural Integrity, 28, 511-516.
(2020)
Procedia Structural Integrity 28 511-516
(2020)
AIPRO24th International Congress on Project Management and Engineering 1643-1653
Weikert, T., Francone, M., Abbara, S. et al. Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges. Eur Radiol (2020). https://doi.org/10.1007/s00330-020-07417-0
(2020)
European Radiology
Zeilinger, M.G., Wiesmüller, M., Forman, C. et al. 3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI. Eur Radiol (2020). https://doi.org/10.1007/s00330-020-07517-x
(2020)
European Radiology
English
