71 citations · 214 across the 12 of their papers we have counts for
5 papers · 1 filter
SurGen: Text-Guided Diffusion Model for Surgical Video Generation
Joseph Cho, Samuel Schmidgall, Cyril Zakka +4
Diffusion-based video generation models have made significant strides, producing outputs with improved visual fidelity, temporal coherence, and user control. These advancements hol…
GP-VLS: A general-purpose vision language model for surgery
Samuel Schmidgall, Joseph Cho, Cyril Zakka +1
Surgery requires comprehensive medical knowledge, visual assessment skills, and procedural expertise. While recent surgical AI models have focused on solving task-specific problems…
A Generalist Model for Diverse Text-Guided Medical Image Synthesis
Joseph Cho, Mrudang Mathur, Cyril Zakka +15
Deep learning algorithms require extensive data to achieve robust performance. However, data availability is often restricted in the medical domain due to patient privacy concerns.…
Simulating time to event prediction with spatiotemporal echocardiography deep learning
Rohan Shad, Nicolas Quach, Robyn Fong +8
Integrating methods for time-to-event prediction with diagnostic imaging modalities is of considerable interest, as accurate estimates of survival requires accounting for censoring…
Predicting post-operative right ventricular failure using video-based deep learning
Rohan Shad, Nicolas Quach, Robyn Fong +17
Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves. Despite progressive improvements over the…