Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. - Akshay Smit; Saahil Jain; Pranav Rajpurkar; Anuj Pareek; Andrew Y. Ng; Matthew P. Lungren (EMNLP (1), 2020)

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)

CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. - Pranav Rajpurkar; Anirudh Joshi; Anuj Pareek; Phil Chen; Amirhossein Kiani; Jeremy Irvin; Andrew Y. Ng; Matthew P. Lungren (CoRR, 2020)

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. - Akshay Smit; Saahil Jain; Pranav Rajpurkar; Anuj Pareek; Andrew Y. Ng; Matthew P. Lungren (CoRR, 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)

CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays. - Pranav Rajpurkar; Anirudh Joshi; Anuj Pareek; Jeremy Irvin; Andrew Y. Ng; Matthew P. Lungren (CoRR, 2020)

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Saeed Seyyedi; Imon Banerjee; Matthew P. Lungren (npj Digit. Medicine, 2020)

CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings. - Pranav Rajpurkar; Anirudh Joshi; Anuj Pareek; Andrew Y. Ng; Matthew P. Lungren (CHIL, 2021)

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays. - Joseph Paul Cohen; Rupert Brooks; Sovann En; Evan Zucker; Anuj Pareek; Matthew P. Lungren; Akshay Chaudhari (MIDL, 2021)

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. - Joseph Paul Cohen; Rupert Brooks; Sovann En; Evan Zucker; Anuj Pareek; Matthew P. Lungren; Akshay Chaudhari (CoRR, 2021)

Benchmarking saliency methods for chest X-ray interpretation. - Adriel Saporta; Xiaotong Gui; Ashwin Agrawal; Anuj Pareek; Steven Q. H. Truong; Chanh D. T. Nguyen; Van Doan Ngo; Jayne Seekins; Francis G. Blankenberg; Andrew Y. Ng; Matthew P. Lungren; Pranav Rajpurkar (Nat. Mac. Intell., 2022)

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. - Dave Van Veen; Cara Van Uden; Maayane Attias; Anuj Pareek; Christian Bluethgen; Malgorzata Polacin; Wah Chiu; Jean-Benoit Delbrouck; Juan Manuel Zambrano Chaves; Curtis P. Langlotz; Akshay Chaudhari; John M. Pauly (BioNLP@ACL, 2023)

The Effect of Counterfactuals on Reading Chest X-rays. - Joseph Paul Cohen; Rupert Brooks; Sovann En; Evan Zucker; Anuj Pareek; Matthew P. Lungren; Akshay Chaudhari (CoRR, 2023)

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. - Dave Van Veen; Cara Van Uden; Louis Blankemeier; Jean-Benoit Delbrouck; Asad Aali; Christian Bluethgen; Anuj Pareek; Malgorzata Polacin; William Collins; Neera Ahuja; Curtis P. Langlotz; Jason Hom; et al. (CoRR, 2023)

Self-supervised learning for medical image classification: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Malte E. K. Jensen; Matthew P. Lungren; Serena Yeung; Akshay S. Chaudhari (npj Digit. Medicine, 2023)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - Eva Prakash; Jeya Maria Jose Valanarasu; Zhihong Chen; Eduardo Pontes Reis; Andrew Johnston; Anuj Pareek; Christian Bluethgen; Sergios Gatidis; Cameron Olsen; Akshay Chaudhari; Andrew Y. Ng; Curtis P. Langlotz (CoRR, 2024)