檢索結果 - Hojjatollah Azadbakht
- Showing 1 - 5 results of 5
-
1
-
2
-
3
-
4
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans 由 Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan Weir‐McCall, Zhongzhao Teng, Effrossyni Gkrania‐Klotsas, Alessandro Ruggiero, Anna Korhonen, Emily Jefferson, Emmanuel Ako, Georg Langs, G. Gozaliasl, Guang Yang, Helmut Prosch, Jacobus Preller, Jan Stanczuk, Jing Tang, Johannes Hofmanninger, Judith Babar, Lorena Escudero Sánchez, Muhunthan Thillai, Paula Martin Gonzalez, Philip Teare, Xiaoxiang Zhu, Mishal Patel, Conor Cafolla, Hojjatollah Azadbakht, Joseph Jacob, Josh Lowe, Kang Zhang, Kyle J Bradley, Marcel Wassin, Markus Holzer, Kangyu Ji, Maria Delgado Ortet, Tao Ai, Nicholas Walton, Píetro Lió, Samuel D. Stranks, Tolou Shadbahr, Weizhe Lin, Yunfei Zha, Zhangming Niu, James H.F. Rudd, Evis Sala, Carola‐Bibiane Schönlieb
出版 2021Artigo -
5
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? 由 Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang‐Cheng Yeh, Gabriel Girard, Muhamed Baraković, Jonathan Rafael‐Patiño, Thomas Yu, Elda Fischi‐Gomez, Marco Pizzolato, Mario Ocampo‐Pineda, Simona Schiavi, Erick J. Canales‐Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean‐Philippe Thiran, Laura Mancini, Stephen Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz‐Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attyé, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa A. Vijayakumari, Drew Parker, Ragini Verma, Ahmed Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping-Hong Yeh, Rujirutana Srikanchana, Colin D. McKnight, Joseph Yuan‐Mou Yang, Jian Chen, Claire E. Kelly, Chun‐Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O’Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramírez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma‐Usabiaga, Lucas Agudiez Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak
出版 2021Artigo
相關主題
Computer science
Artificial intelligence
Medicine
Radiology
Diffusion MRI
Magnetic resonance imaging
Neuroscience
Psychology
Tractography
Anatomy
Biology
Cognition
Epilepsy
Lobe
Operating system
Probabilistic logic
Temporal lobe
White matter
2019-20 coronavirus outbreak
Bundle
Communication
Composite material
Coronavirus disease 2019 (COVID-19)
Disease
Fiber bundle
Infectious disease (medical specialty)
Intensive care medicine
Law
MEDLINE
Macaque