activity
20192025
most citedFastEstimator: A Deep Learning Library for Fast Prototyping and Productization

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CV2025

Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective

Xing Yao, Ahana Gangopadhyay, Hsi-Ming Chang +1

Ultrasound (US) video segmentation remains a challenging problem due to strong inter- and intra-dataset variability, motion artifacts, and limited annotated data. Although foundati…

eess.IV2025

SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging

Danielle L. Ferreira, Ahana Gangopadhyay, Hsi-Ming Chang +2

Accurate segmentation of anatomical structures in ultrasound (US) images, particularly small ones, is challenging due to noise and variability in imaging conditions (e.g., probe po…