1 citations · 1 across the 2 of their papers we have counts for
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…
cs.CV2025★ 1 cited
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…
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…