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Artículos, Encontrados 2 registros
Artículos Encontrados 2 registros  
1.
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 - 10.1109/TMI.2021.3090082
IEEE Transactions on Medical Imaging, Vol. 40 Núm. 12 (january 2021) , p. 3543-3554  
2.
24 p, 410.2 KB Weak-2-local isometries on uniform algebras and Lipschitz algebras / Li, Lei (Nankai University (Xina). School of Mathematical Sciences) ; Peralta Pereira, Antonio Miguel (Universidad de Granada. Departamento de Análisis Matemático) ; Wang, Liguang (Qufu Normal University (Xina). School of Mathematical Sciences) ; Wang, Ya-Shu (National Chung Hsing University (Taiwan). Department of Applied Mathematics)
We establish spherical variants of the Gleason-Kahane-Zelazko and Kowalski-S lodkowski theorems, and we apply them to prove that every weak-2-local isometry between two uniform algebras is a linear map. [...]
2019 - 10.5565/PUBLMAT6311908
Publicacions matemàtiques, Vol. 63 Núm. 1 (2019) , p. 241-264 (Articles)  

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