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Journal of Magnetic Resonance Imaging : JMRI|July 17, 2013
Modeling DCE-MRI at low temporal resolution: a case study on rheumatoid arthritisJoseph R Ledsam, Richard Hodgson, Robert J Moots, et al.Nature Methods|October 5, 2021
Effective gene expression prediction from sequence by integrating long-range interactionsŽiga Avsec, Vikram Agarwal, Daniel Visentin, et al.The Lancet. Digital Health|December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility studyLivia Faes, Siegfried K Wagner, Dun Jack Fu, et al.The Lancet. Digital Health|December 16, 2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysisXiaoxuan Liu, Livia Faes, Aditya U Kale, et al.Nature Communications|January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningAvinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.Nature Medicine|May 20, 2020
Predicting conversion to wet age-related macular degeneration using deep learningJason Yim, Reena Chopra, Terry Spitz, et al.Nature|August 2, 2019
A clinically applicable approach to continuous prediction of future acute kidney injuryNenad Tomašev, Xavier Glorot, Jack W Rae, et al.Radiology. Artificial Intelligence|March 13, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and JapanAtilla P Kiraly, Corbin A Cunningham, Ryan Najafi, et al.Journal of Medical Internet Research|July 13, 2021
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation StudyStanislav Nikolov, Sam Blackwell, Alexei Zverovitch, et al.Nature Protocols|May 6, 2021
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsNenad Tomašev, Natalie Harris, Sebastien Baur, et al.Pageof 2