3 papers
cs.CV2025
Automated Interpretable 2D Video Extraction from 3D Echocardiography
Milos Vukadinovic, Hirotaka Ieki, Yuki Sahashi +2
Although the heart has complex three-dimensional (3D) anatomy, conventional medical imaging with cardiac ultrasound relies on a series of 2D videos showing individual cardiac struc…
q-bio.QM2025
EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound Noise
David Choi, Milos Vukadinovic, Bryan He +3
Echocardiography (echo), or cardiac ultrasound, is the most widely used imaging modality for cardiac form and function due to its relatively low cost, rapid acquisition time, and n…
cs.CV2025
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?
Rahul Thapa, Andrew Li, Qingyang Wu +8
Publicly available biomedical videos, such as those on YouTube, serve as valuable educational resources for medical students. Unlike standard machine learning datasets, these video…