Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. - Sarah Jabbour; David Fouhey; Ella Kazerooni; Michael W. Sjoding; Jenna Wiens (MLHC, 2020)

Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure. - Sarah Jabbour; David Fouhey; Ella Kazerooni; Jenna Wiens; Michael W. Sjoding (CoRR, 2021)

Learning Concept Credible Models for Mitigating Shortcuts. - Jiaxuan Wang; Sarah Jabbour; Maggie Makar; Michael W. Sjoding; Jenna Wiens (NeurIPS, 2022)

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure. - Sarah Jabbour; David Fouhey; Ella Kazerooni; Jenna Wiens; Michael W. Sjoding (J. Am. Medical Informatics Assoc., 2022)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks. - Sarah Jabbour; Gregory Kondas; Ella Kazerooni; Michael W. Sjoding; David Fouhey; Jenna Wiens (ECCV (64), 2024)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)

Evaluation Framework for AI Systems in "the Wild". - Sarah Jabbour; Trenton Chang; Anindya Das Antar; Joseph Peper; Insu Jang; Jiachen Liu; Jae-Won Chung; Shiqi He; Michael P. Wellman; Bryan Goodman; Elizabeth Bondi-Kelly; Kevin Samy; et al. (CoRR, 2025)

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making. - Sarah Jabbour; David Fouhey; Nikola Banovic 001; Stephanie D. Shepard; Ella Kazerooni; Michael W. Sjoding; Jenna Wiens (CoRR, 2025)