Martín-Isla, C. - Resultados de la búsqueda - Depósito Digital de Documentos de la UAB

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Artículos	Encontrados 3 registros

12 p, 4.0 MB

Domain generalization in deep learning for contrast-enhanced imaging / Sendra-Balcells, C. (Universitat de Barcelona) ; Campello, Victor M (Universitat de Barcelona) ; Martín-Isla, C. (Universitat de Barcelona) ; Viladés Medel, David (Institut d'Investigació Biomèdica Sant Pau) ; Descalzo, Martin (Institut d'Investigació Biomèdica Sant Pau) ; Guala, Andrea (Hospital Universitari Vall d'Hebron) ; Rodriguez-Palomares, Jose F (Hospital Universitari Vall d'Hebron) ; Lekadir, K. (Universitat de Barcelona) ; Universitat Autònoma de Barcelona
The domain generalization problem has been widely investigated in deep learning for non-contrast imaging over the last years, but it received limited attention for contrast-enhanced imaging. However, there are marked differences in contrast imaging protocols across clinical centers, in particular in the time between contrast injection and image acquisition, while access to multi-center contrast-enhanced image data is limited compared to available datasets for non-contrast imaging. [...]
2022 - DOI (Digital Object Identifier)

10.1016/j.compbiomed.2022.106052
Computers in Biology and Medicine, Vol. 149 (october 2022) , p. 106052

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10 p, 2.5 MB

Minimising multi-centre radiomics variability through image normalisation : a pilot study / Campello, Victor M (Artificial Intelligence in Medicine Lab (BCN-AIM)) ; Martín-Isla, C. (Artificial Intelligence in Medicine Lab (BCN-AIM)) ; Izquierdo, C. (Artificial Intelligence in Medicine Lab (BCN-AIM)) ; Guala, A. (CIBER-CV. Instituto de Salud Carlos III) ; Palomares, J.F.R. (Universitat Autònoma de Barcelona. Departament de Medicina) ; Viladés Medel, David (Institut d'Investigació Biomèdica Sant Pau) ; Descalzo, Martin (Institut d'Investigació Biomèdica Sant Pau) ; Karakas, M. (Department of Intensive Care Medicine. University Medical Center. Hamburg Eppendorf) ; Çavuş, E. (DZHK (German Center for Cardiovascular Research)) ; Raisi-Estabragh, Z. (Barts Heart Centre. St Bartholomew's Hospital. Barts Health NHS Trust) ; Petersen, S.E. (Alan Turing Institute) ; Escalera, S. (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Seguí, S. (Artificial Intelligence in Medicine Lab (BCN-AIM)) ; Lekadir, Karim (Artificial Intelligence in Medicine Lab (BCN-AIM)) ; Universitat Autònoma de Barcelona
Radiomics is an emerging technique for the quantification of imaging data that has recently shown great promise for deeper phenotyping of cardiovascular disease. Thus far, the technique has been mostly applied in single-centre studies. [...]
2022 - DOI (Digital Object Identifier)

10.1038/s41598-022-16375-0
Scientific reports, Vol. 12 Núm. 1 (december 2022) , p. 12532

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12 p, 2.9 MB

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation : The MMs Challenge / Campello, Victor M. (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Gkontra, Polyxeni (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Izquierdo, Cristian (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Martin-Isla, Carlos (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Sojoudi, Alireza (Circle Cardiovascular Imaging Pvt. Ltd.) ; Full, Peter M. (German Cancer Research Center) ; Maier-Hein, Klaus (Division of Medical Image Computing. German Cancer Research Center) ; Zhang, Yao (Chinese Academy of Sciences. Institute of Computing Technology) ; He, Zhiqiang (Lenovo Ltd.) ; Ma, Jun (Nanjing University of Science and Technology) ; Parreno, Mario (Universitat Politècnica de València) ; Albiol, Alberto (Universitat Politècnica de València. iTeam Research Institute) ; Kong, Fanwei (University of California at Berkeley. Department of Mechanical Engineering) ; Shadden, Shawn C. (University of California at Berkeley. Department of Mechanical Engineeringy) ; Corral Acero, Jorge (Institute of Biomedical Engineering. Department of Engineering Science. University of Oxford) ; Sundaresan, Vaanathi (University of Oxford. Nuffield Department of Clinical Neurosciences) ; Saber, Mina (Research and Development Division. Intixel Company S.A.E.) ; Elattar, Mustafa (Research and Development Division. Intixel Company S.A.E.) ; Li, Hongwei (Department of Computer Science. Technische Universität München) ; Menze, Bjoern (Department of Computer Science. Technische Universität München) ; Khader, Firas (ARISTRA GmbH) ; Haarburger, Christoph (ARISTRA GmbH) ; Scannell, Cian M. (School of Biomedical Engineering and Imaging Sciences. King's College London) ; Veta, Mitko (Department of Biomedical Engineering. Eindhoven University of Technology) ; Carscadden, Adam (Department of Radiology and Diagnostic Imaging. University of Alberta) ; Punithakumar, Kumaradevan (Department of Radiology and Diagnostic Imaging. University of Alberta) ; Liu, Xiao (School of Engineering. The University of Edinburgh) ; Tsaftaris, Sotirios A. (School of Engineering. The University of Edinburgh) ; Huang, Xiaoqiong (School of Biomedical Engineering. Shenzhen University) ; Yang, Xin (School of Biomedical Engineering. Shenzhen University) ; Li, Lei (School of Biomedical Engineering. Shenzhen University) ; Zhuang, Xiahai (School of Data Science. Fudan University) ; Viladés Medel, David (Institut d'Investigació Biomèdica Sant Pau) ; Descalzo, Martin (Institut d'Investigació Biomèdica Sant Pau) ; Guala, Andrea (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Mura, Lucía La (Department of Advanced Biomedical Sciences. University of Naples Federico II) ; Friedrich, Matthias G. (Department of Medicine and Diagnostic Radiology. McGill University) ; Garg, Ria (Department of Medicine and Diagnostic Radiology. McGill University) ; Lebel, Julie (Department of Medicine and Diagnostic Radiology. McGill University) ; Henriques, Filipe. (Department of Cardiology. University Heart Vascular Center Hamburg) ; Karakas, Mahir (Department of Cardiology. University Heart Vascular Center Hamburg) ; Cavus, Ersin (Barts Heart Centre. Barts Health NHS Trust) ; Petersen, Steffen E. (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Escalera, Sergio (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Segui, Santi (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Rodriguez-Palomares, Jose F.. (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Lekadir, Karim (Universitat de Barcelona. Departament de Matemàtiques i Informàtica) ; Universitat Autònoma de Barcelona
The emergence of deep learning has considerably advanced the state-of-the-art in cardiac magnetic resonance (CMR) segmentation. Many techniques have been proposed over the last few years, bringing the accuracy of automated segmentation close to human performance. [...]
2021 - DOI (Digital Object Identifier)

10.1109/TMI.2021.3090082
IEEE Transactions on Medical Imaging, Vol. 40 Núm. 12 (january 2021) , p. 3543-3554

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Vea también: autores con nombres similares
2	Martin-Isla, C.
1	Martin-Isla, Carlos

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