Finding small molecules for the 'next Ebola'. - Sean Ekins; Christopher Southan; Megan Coffee (F1000Research, 2015)

Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images. - Ashia Lewis; Evanjelin Mahmoodi; Yuyue Zhou; Megan Coffee; Elena Sizikova (ICCVW, 2021)

COVID-19 early-alert signals using human behavior alternative data. - Anasse Bari; Aashish Khubchandani; Junzhang Wang; Matthias Heymann; Megan Coffee (Soc. Netw. Anal. Min., 2021)

How to Assess Trustworthy AI in Practice. - Roberto V. Zicari; Julia Amann; Frédérick Bruneault; Megan Coffee; Boris Düdder; Eleanore Hickman; Alessio Gallucci; Thomas Krendl Gilbert; Thilo Hagendorff; Irmhild van Halem; Elisabeth Hildt; Sune Holm; et al. (CoRR, 2022)

Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction. - Elena Sizikova; Xu Cao; Ashia Lewis; Kenny Moise; Megan Coffee (CoRR, 2022)

Automatic Infectious Disease Classification Analysis with Concept Discovery. - Elena Sizikova; Joshua Vendrow; Xu Cao; Rachel Grotheer; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Thomas Merkh; R. W. M. A. Madushani; Kenny Moise; Annie Ulichney; Huy V. Vo; et al. (CoRR, 2022)

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis. - Xu Cao; Wenqian Ye; Elena Sizikova; Xue Bai; Megan Coffee; Hongwu Zeng; Jianguo Cao (ICASSP, 2023)

Lessons Learned from Assessing Trustworthy AI in Practice. - Dennis Vetter; Julia Amann; Frédérick Bruneault; Megan Coffee; Boris Düdder; Alessio Gallucci; Thomas Krendl Gilbert; Thilo Hagendorff; Irmhild van Halem; Eleanore Hickman; Elisabeth Hildt; Sune Holm; et al. (Digit. Soc., 2023)

MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection. - Xu Cao; Wenqian Ye; Kenny Moise; Megan Coffee (ML4H@NeurIPS, 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)