5 citations · 6 across the 4 of their papers we have counts for
4 papers
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…
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…
Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review
Sruti Mallik, Ahana Gangopadhyay
Quality education, one of the seventeen sustainable development goals (SDGs) identified by the United Nations General Assembly, stands to benefit enormously from the adoption of ar…
Multi-attention Networks for Temporal Localization of Video-level Labels
Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay +1
Temporal localization remains an important challenge in video understanding. In this work, we present our solution to the 3rd YouTube-8M Video Understanding Challenge organized by…