CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Automated abnormality detection in lower extremity radiographs using deep learning. - Maya Varma; Mandy Lu; Rachel Gardner; Jared Dunnmon; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Christopher Beaulieu; Katie S. Shpanskaya; Li Fei-Fei 001; Matthew P. Lungren; Bhavik N. Patel (Nat. Mach. Intell., 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)

Assessing Robustness to Noise: Low-Cost Head CT Triage. - Sarah M. Hooper; Jared A. Dunnmon; Matthew P. Lungren; Sanjiv Sam Gambhir; Christopher Ré; Adam S. Wang; Bhavik N. Patel (CoRR, 2020)

PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction. - Abdullah-Al-Zubaer Imran; Debashish Pal; Bhavik N. Patel; Adam S. Wang (ISBI, 2021)

Personalized CT Organ Dose Estimation from Scout Images. - Abdullah-Al-Zubaer Imran; Sen Wang; Debashish Pal; Sandeep Dutta; Bhavik N. Patel; Evan Zucker; Adam S. Wang (MICCAI (4), 2021)

Two-step adversarial debiasing with partial learning - medical image case-studies. - Ramon Correa; Jiwoong Jason Jeong; Bhavik N. Patel; Hari Trivedi; Judy W. Gichoya; Imon Banerjee (CoRR, 2021)

Automated coronary calcium scoring using deep learning with multicenter external validation. - David Eng; Christopher Chute; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Sam Shleifer; Mohamed H. Khalaf; Alexander T. Sandhu; Fátima Rodriguez; David J. Maron; Saeed Seyyedi; Daniele Marin; et al. (npj Digit. Medicine, 2021)

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (AMIA, 2022)

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. - Louis Blankemeier; Isabel Gallegos; Juan Manuel Zambrano Chaves; David J. Maron; Alexander T. Sandhu; Fátima Rodriguez; Daniel L. Rubin; Bhavik N. Patel; Marc H. Willis; Robert D. Boutin; Akshay S. Chaudhari (MICCAI (8), 2022)

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. - Siyi Tang; Amara Tariq; Jared Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (CoRR, 2022)

Adversarial Debiasing techniques towards 'fair' skin lesion classification. - Ramon L. Correa-Medero; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. - Louis Blankemeier; Arjun D. Desai; Juan Manuel Zambrano Chaves; Andrew Wentland; Sally Yao; Eduardo Pontes Reis; Malte E. K. Jensen; Bhanushree Bahl; Khushboo Arora; Bhavik N. Patel; Leon Lenchik; Marc H. Willis; et al. (CoRR, 2023)

Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views. - Abdullah-Al-Zubaer Imran; Sen Wang; Debashish Pal; Sandeep Dutta; Bhavik N. Patel; Evan Zucker; Adam S. Wang (CoRR, 2023)

Graph convolutional network-based fusion model to predict risk of hospital acquired infections. - Amara Tariq; Lin Lancaster; Praneetha Elugunti; Eric Siebeneck; Katherine Noe; Bijan Borah; James Moriarty; Imon Banerjee; Bhavik N. Patel (J. Am. Medical Informatics Assoc., 2023)

The Role of Artificial Intelligence in Echocardiography. - Timothy Barry; Juan Maria Farina; Chieh-Ju Chao; Chadi Ayoub; Jiwoong Jason Jeong; Bhavik N. Patel; Imon Banerjee; Reza Arsanjani (J. Imaging, 2023)

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. - James Li; Chieh-Ju Chao; Jiwoong Jason Jeong; Juan Maria Farina; Amith R. Seri; Timothy Barry; Hana Newman; Megan Campany; Merna Abdou; Michael O'Shea; Sean Smith; Bishoy Abraham; et al. (J. Imaging, 2023)

Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. - Imon Banerjee; Melissa A. Davis; Brianna L. Vey; Sina Mazaheri; Fiza Khan; Vaz Zavaletta; Roger Gerard; Judy Wawira Gichoya; Bhavik N. Patel (J. Digit. Imaging, 2023)

Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. - Siyi Tang; Amara Tariq; Jared A. Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. - Amara Tariq; Kris Goddard; Praneetha Elugunti; Kristina Piorkowski; Jared Staal; Allison Viramontes; Imon Banerjee; Bhavik N. Patel (Int. J. Medical Informatics, 2023)

Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram. - Zhemin Zhang; Bhavika Patel; Bhavik N. Patel; Imon Banerjee (CoRR, 2024)

Efficient adversarial debiasing with concept activation vector - Medical image case-studies. - Ramon Correa; Khushbu Pahwa; Bhavik N. Patel; Celine M. Vachon; Judy W. Gichoya; Imon Banerjee (J. Biomed. Informatics, 2024)

Adaptable graph neural networks design to support generalizability for clinical event prediction. - Amara Tariq; Gurkiran Kaur; Leon Su; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (J. Biomed. Informatics, 2025)

Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. - David Le; Ramon L. Correa-Medero; Amara Tariq; Bhavik N. Patel; Motoyo Yano; Imon Banerjee (CoRR, 2025)

Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models. - Amara Tariq; Shubham Trivedi; Aisha Urooj; Gokul Ramasamy; Sam Fathizadeh; Matthew Stib; Nelly Tan; Bhavik N. Patel; Imon Banerjee (ACM Trans. Comput. Heal., 2025)