1 citations · 1 across the 3 of their papers we have counts for
3 papers
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
Joshua Durso-Finley, Berardino Barile, Jean-Pierre Falet +3
Personalized medicine based on medical images, including predicting future individualized clinical disease progression and treatment response, would have an enormous impact on heal…
Debiasing Counterfactuals In the Presence of Spurious Correlations
Amar Kumar, Nima Fathi, Raghav Mehta +4
Deep learning models can perform well in complex medical imaging classification tasks, even when basing their conclusions on spurious correlations (i.e. confounders), should they b…
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
Amar Kumar, Anjun Hu, Brennan Nichyporuk +4
The discovery of patient-specific imaging markers that are predictive of future disease outcomes can help us better understand individual-level heterogeneity of disease evolution.…