71 citations · 214 across the 12 of their papers we have counts for
12 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.…
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…
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
Adil Dahlan, Cyril Zakka, Abhinav Kumar +4
Cardiovascular diseases stand as the primary global cause of mortality. Among the various imaging techniques available for visualising the heart and evaluating its function, echoca…
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Akash Chaurasia, Rohan Shad +11
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-a…
Controlled Comparison of Simulated Hemodynamics across Tricuspid and Bicuspid Aortic Valves
Alexander D. Kaiser, Rohan Shad, Nicole Schiavone +2
Bicuspid aortic valve is the most common congenital heart defect, affecting 1-2% of the global population. Patients with bicuspid valves frequently develop dilation and aneurysms o…
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…
Medical Imaging and Machine Learning
Rohan Shad, John P. Cunningham, Euan A. Ashley +2
Advances in computing power, deep learning architectures, and expert labelled datasets have spurred the development of medical imaging artificial intelligence systems that rival cl…
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…
A Design-Based Model of the Aortic Valve for Fluid-Structure Interaction
Alexander D. Kaiser, Rohan Shad, William Hiesinger +1
This paper presents a new method for modeling the mechanics of the aortic valve, and simulates its interaction with blood. As much as possible, the model construction is based on f…