Multimodal Foundation Models For Echocardiogram Interpretation

1 code implementation • 29 Aug 2023 • Matthew Christensen, Milos Vukadinovic, Neal Yuan, David Ouyang

Multimodal deep learning foundation models can learn the relationship between images and text.

Cross-Modal Retrieval Multimodal Deep Learning +1

Deep Learning Discovery of Demographic Biomarkers in Echocardiography

no code implementations • 13 Jul 2022 • Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang

When predicting race, we show that tuning the proportion of a confounding variable (sex) in the training data significantly impacts model AUC (ranging from 0. 57 to 0. 84), while in training a sex prediction model, tuning a confounder (race) did not substantially change AUC (0. 81 - 0. 83).

Detecting anthropogenic cloud perturbations with deep learning

no code implementations • 29 Nov 2019 • Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen, Anthony Caterini, Dino Sejdinovic, Philip Stier

One of the most pressing questions in climate science is that of the effect of anthropogenic aerosol on the Earth's energy balance.