Alejandro Frangi

Alejandro FrangiAlejandro (Alex) Frangi is Professor of Biomedical Image Computing at the University of Sheffield (USFD) and affiliated to the Electronic & Electrical Engineering Department. He is also Director of the Center for Computational Imaging and Simulation echnologies in Biomedicine and member of INSIGNEO Institute for in silico Medicine. Prof Frangi is Fellow of IEEE.
His main research interests are in medical image computing, medical imaging and image-based computational physiology. Prof. Frangi has edited a book, published 5 editorial articles and over 90 journal papers in key international journals of his research field, as well as more than 120 book chapters and international conference papers. He has twice been Guest Editor of special issues of IEEE Trans on Medical Imaging, one on IEEE Trans Biomed Eng, and one of Medical Image Analysis journal.
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1.
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (Micad 2023)37 %
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Medical Imaging and Computer-Aided Diagnosis37 %
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Artificial Intelligence Over Infrared Images for Medical Applications37 %
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Information Processing in Medical Imaging37 %
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Medical Image Analysis38 %
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Simulation and Synthesis in Medical Imaging37 %
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Simulation and Synthesis in Medical Imaging37 %
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Functional Imaging and Modeling of the Heart37 %
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31 May 2005
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Medical Image Computing and Computer Assisted Intervention - Miccai 201837 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 201837 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 201837 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 201837 %
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Medical Image Computing and Computer-Assisted Intervention – MICCAI 201537 %
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Computational Methods and Clinical Applications in Musculoskeletal Imaging37 %
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Computational Methods and Clinical Applications for Spine Imaging37 %
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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 201537 %
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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 201537 %
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Computational Methods and Clinical Applications for Spine Imaging37 %
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20.
Medical Image Analysis with Deep LearningNR
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