most citedLabel-free segmentation from cardiac ultrasound using self-supervised learning

22 citations · 26 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023★ 4 cited

Are foundation models efficient for medical image segmentation?

Danielle Ferreira, Rima Arnaout

Foundation models are experiencing a surge in popularity. The Segment Anything model (SAM) asserts an ability to segment a wide spectrum of objects but required supervised training…

eess.IV2022★ 22 cited

Label-free segmentation from cardiac ultrasound using self-supervised learning

Danielle L. Ferreira, Connor Lau, Zaynaf Salaymang +1

Segmentation and measurement of cardiac chambers is critical in cardiac ultrasound but is laborious and poorly reproducible. Neural networks can assist, but supervised approaches r…