Matthew Christensen

According to our database, Matthew Christensen authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez

npj Digit. Medicine, 2023

Multimodal Foundation Models For Echocardiogram Interpretation.

Matthew Christensen, Milos Vukadinovic, Neal Yuan, David Ouyang

CoRR, 2023

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

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

2020

Using Domain Compilation to Add Belief to Narrative Planners.

Matthew Christensen, Jennifer M. Nelson, Rogelio E. Cardona-Rivera

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019

Detecting anthropogenic cloud perturbations with deep learning.

Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen, Anthony L. Caterini, Dino Sejdinovic, Philip Stier

CoRR, 2019