Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

E. Eisenhauer, P. Therasse, Jan Bogaerts et al. · European Journal of Cancer · 2008 · 29.5K citations

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DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Ke Yan, Xiaosong Wang, Le Lü et al. · Journal of Medical Imaging · 2018 · 565 citations · Full text

Computing, Health Informatics, Radiology +17

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Curtis P. Langlotz, Bibb Allen, Bradley J. Erickson et al. · Radiology · 2019 · 366 citations · Full text

Computing, Computer Science, Radiology +17

Distributed deep learning networks among institutions for medical imaging

Ken Chang, Niranjan Balachandar, Carson Lam et al. · Journal of the American Medical Informatics Association · 2018 · 345 citations · Full text

Computing, Computer Science, Health Informatics +12

The RECIST criteria: implications for diagnostic radiologists

Anwar R. Padhani, L. Ollivier · British Journal of Radiology · 2001 · 261 citations

Medicine, Radiology, Diagnostic Imaging +5