基本信息
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Bio
M Jorge Cardoso is a Reader in Artificial Medical Intelligence at King’s College London, where he leads a research portfolio on big data analytics, quantitative radiology and value based healthcare. Jorge is also the CTO of the new London Medical Imaging and AI Centre for Value-based Healthcare.
He has more than 12 years expertise in advanced image analysis, big data, and artificial intelligence, and co-leads the development of NiftyNet, a deep-learning platform for artificial intelligence in medical imaging. He is also a founder of BrainMiner, a medtech startup aiming to bring quantitative biomarkers and predictive models to neurological care.
He has more than 12 years expertise in advanced image analysis, big data, and artificial intelligence, and co-leads the development of NiftyNet, a deep-learning platform for artificial intelligence in medical imaging. He is also a founder of BrainMiner, a medtech startup aiming to bring quantitative biomarkers and predictive models to neurological care.
Research Interests
Papers共 442 篇Author StatisticsCo-AuthorSimilar Experts
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MEDICAL IMAGE ANALYSIS (2024)
Paul Nderitu, Joan M Nunez do Rio,Laura Webster,Samantha Mann,M Jorge Cardoso,Marc Modat,David Hopkins,Christos Bergeles,Timothy L Jackson
Communications medicineno. 1 (2024): 167-167
Annika Reinke,Minu D. Tizabi,Michael Baumgartner, Matthias Eisenmann,Doreen Heckmann-Nötzel,A. Emre Kavur,Tim Rädsch,Carole H. Sudre,Laura Acion,Michela Antonelli,Tal Arbel,Spyridon Bakas,Arriel Benis,Florian Buettner,M. Jorge Cardoso,Veronika Cheplygina,Jianxu Chen,Evangelia Christodoulou,Beth A. Cimini,Keyvan Farahani,Luciana Ferrer,Adrian Galdran,Bram van Ginneken,Ben Glocker,Patrick Godau,Daniel A. Hashimoto,Michael M. Hoffman,Merel Huisman,Fabian Isensee,Pierre Jannin,Charles E. Kahn,Dagmar Kainmueller,Bernhard Kainz,Alexandros Karargyris,Jens Kleesiek,Florian Kofler,Thijs Kooi,Annette Kopp-Schneider,Michal Kozubek,Anna Kreshuk,Tahsin Kurc,Bennett A. Landman,Geert Litjens,Amin Madani,Klaus Maier-Hein,Anne L. Martel,Erik Meijering,Bjoern Menze,Karel G. M. Moons,Henning Müller,Brennan Nichyporuk,Felix Nickel,Jens Petersen,Susanne M. Rafelski,Nasir Rajpoot,Mauricio Reyes,Michael A. Riegler,Nicola Rieke,Julio Saez-Rodriguez,Clara I. Sánchez,Shravya Shetty,Ronald M. Summers,Abdel A. Taha,Aleksei Tiulpin,Sotirios A. Tsaftaris,Ben Van Calster,Gaël Varoquaux,Ziv R. Yaniv,Paul F. Jäger,Lena Maier-Hein
Medical Image Analysispp.103278, (2024)
Prabal Mittal,Rafael Gafoor,Zara Sayar,Maria Efthymiou,Ibrahim Tohidi-Esfahani, Stella Appiah-Cubi,Deepa J. Arachchillage,David Atkinson,Ekaterina Bordea,M Jorge Cardoso,Emilia Caverly,Arvind Chandratheva,Marisa Chau,Nick Freemantle,Carolyn Gates,H Rolf Jäger, Arvind Kaul, Chris Mitchell, Hanh Nguyen, Bunis Packham
Research and Practice in Thrombosis and Haemostasispp.102468, (2024)
CoRR (2024)
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MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT II (2024): 325-334
CoRR (2024)
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Petru-Daniel Tudosiu,Walter H L Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon,Ashay Patel, Pedro Borges,Virginia Fernandez, Mark S Graham,Robert J Gray,Parashkev Nachev,Sebastien Ourselin,M Jorge Cardoso
Nature Machine Intelligenceno. 7 (2024): 811-819
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Author Statistics
#Papers: 446
#Citation: 21244
H-Index: 53
G-Index: 141
Sociability: 8
Diversity: 3
Activity: 166
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