Brian E. Chapman

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

Imon Banerjee, Ling Yuan, Matthew C. Chen et al. · Artificial Intelligence in Medicine · 2018 · 280 citations · Full text

Computing, Computer Science, Radiology +16

Deep Learning to Classify Radiology Free-Text Reports

Matthew C. Chen, Robyn L. Ball, Lingyao Yang et al. · Radiology · 2017 · 223 citations

Medicine, Computer Science, Radiology +17

Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm

Brian E. Chapman, Sean Lee, Hyunseok P. Kang et al. · Journal of Biomedical Informatics · 2011 · 158 citations · Full text

Medicine, Computer Science, Radiology +16

iDASH: integrating data for analysis, anonymization, and sharing

Lucila Ohno‐Machado, Vineet Bafna, Aziz A. Boxwala et al. · Journal of the American Medical Informatics Association · 2011 · 146 citations · Full text

Computing, Biomedical Informatics, Cloud Computing +17

Automated lung segmentation in X-ray computed tomography

Joseph K. Leader, Bin Zheng, Robert M. Rogers et al. · Academic Radiology · 2003 · 141 citations

Medicine, Radiology, Biomedical Imaging +10