Detecting anthropogenic cloud perturbations with deep learning. - Duncan Watson-Parris; Samuel Sutherland; Matthew Christensen; Anthony L. Caterini; Dino Sejdinovic; Philip Stier (CoRR, 2019)

Using Domain Compilation to Add Belief to Narrative Planners. - Matthew Christensen; Jennifer M. Nelson; Rogelio E. Cardona-Rivera (AIIDE, 2020)

Deep Learning Discovery of Demographic Biomarkers in Echocardiography. - Grant Duffy; Shoa L. Clarke; Matthew Christensen; Bryan He; Neal Yuan; Susan Cheng; David Ouyang (CoRR, 2022)

Confounders mediate AI prediction of demographics in medical imaging. - Grant Duffy; Shoa L. Clarke; Matthew Christensen; Bryan He; Neal Yuan; Susan Cheng; David Ouyang (npj Digit. Medicine, 2022)

Multimodal Foundation Models For Echocardiogram Interpretation. - Matthew Christensen; Milos Vukadinovic; Neal Yuan; David Ouyang (CoRR, 2023)

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. - J. Weston Hughes; James E. Tooley; Jessica Torres Soto; Anna Ostropolets; Tim Poterucha; Matthew Christensen; Neal Yuan; Ben Ehlert; Dhamanpreet Kaur; Guson Kang; Albert J. Rogers; Sanjiv M. Narayan; et al. (npj Digit. Medicine, 2023)