Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. - Imon Banerjee; Miji Sofela; Timothy Amrhein; Daniel L. Rubin; Roham Zamanian; Matthew P. Lungren (AMIA, 2019)

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. - Imon Banerjee; Yuan Ling; Matthew C. Chen; Sadid A. Hasan; Curtis P. Langlotz; Nathaniel Moradzadeh; Brian E. Chapman; Timothy Amrhein; David A. Mong; Daniel L. Rubin; Oladimeji Farri; Matthew P. Lungren (Artif. Intell. Medicine, 2019)

Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Yuyin Zhou; Shih-Cheng Huang; Jason Alan Fries; Alaa Youssef; Timothy J. Amrhein; Marcello Chang; Imon Banerjee; Daniel L. Rubin; Lei Xing 001; Nigam Shah; Matthew P. Lungren (CoRR, 2021)