Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. - Joseph Bae; Saarthak Kapse; Gagandeep Singh; Tej Phatak; Jeremy Green; Nikhil Madan; Prateek Prasanna (CoRR, 2020)

Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. - Aishik Konwer; Joseph Bae; Gagandeep Singh; Rishabh Gattu; Syed Ali; Jeremy Green; Tej Phatak; Prateek Prasanna (MICCAI (5), 2021)

Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. - Sudhir Suman; Gagandeep Singh; Nicole Sakla; Rishabh Gattu; Jeremy Green; Tej Phatak; Dimitris Samaras; Prateek Prasanna (MICCAI (7), 2021)

Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. - Aishik Konwer; Joseph Bae; Gagandeep Singh; Rishabh Gattu; Syed Ali; Jeremy Green; Tej Phatak; Amit Gupta; Chao Chen 012; Joel H. Saltz; Prateek Prasanna (MIDL, 2021)