30 citations · 60 across the 7 of their papers we have counts for
7 papers
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…
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Cyril Zakka, Joseph Cho, Gracia Fahed +9
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medica…
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.…
Sora as a World Model? A Complete Survey on Text-to-Video Generation
Fachrina Dewi Puspitasari, Chaoning Zhang, Joseph Cho +13
The evolution of video generation from text, from animating MNIST to simulating the world with Sora, has progressed at a breakneck speed. Here, we systematically discuss how far te…
A Generalizable Deep Learning System for Cardiac MRI
Rohan Shad, Cyril Zakka, Dhamanpreet Kaur +16
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capab…
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Chaoning Zhang, Joseph Cho, Fachrina Dewi Puspitasari +11
The Segment Anything Model (SAM), developed by Meta AI Research, represents a significant breakthrough in computer vision, offering a robust framework for image and video segmentat…