CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. - Nick A. Phillips; Pranav Rajpurkar; Mark Sabini; Rayan Krishnan; Sharon Zhou; Anuj Pareek; Nguyet Minh Phu; Chris Wang; Mudit Jain; Du Nguyen Duong; Steven Q. H. Truong; Andrew Y. Ng; et al. (ML4H@NeurIPS, 2020)

CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. - Nick A. Phillips; Pranav Rajpurkar; Mark Sabini; Rayan Krishnan; Sharon Zhou; Anuj Pareek; Nguyet Minh Phu; Chris Wang; Andrew Y. Ng; Matthew P. Lungren (CoRR, 2020)

Using LSTM and SARIMA Models to Forecast Cluster CPU Usage. - Langston Nashold; Rayan Krishnan (CoRR, 2020)

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model. - Mark Endo; Rayan Krishnan; Viswesh Krishna; Andrew Y. Ng; Pranav Rajpurkar (ML4H@NeurIPS, 2021)

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays. - Emma Chen; Andy Kim; Rayan Krishnan; Jin Long; Andrew Y. Ng; Pranav Rajpurkar (MLHC, 2021)

Evaluating progress in automatic chest X-ray radiology report generation. - Feiyang Yu; Mark Endo; Rayan Krishnan; Ian Pan; Andy Tsai; Eduardo Pontes Reis; Eduardo Kaiser Ururahy Nunes Fonseca; Henrique Min Ho Lee; Zahra Shakeri Hossein Abad; Andrew Y. Ng; Curtis P. Langlotz; Vasantha Kumar Venugopal; et al. (Patterns, 2023)