1 citations · 1 across the 4 of their papers we have counts for
4 papers
How Effective are Self-Supervised Models for Contact Identification in Videos
Malitha Gunawardhana, Limalka Sadith, Liel David +2
The exploration of video content via Self-Supervised Learning (SSL) models has unveiled a dynamic field of study, emphasizing both the complex challenges and unique opportunities i…
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
Fangqiang Xu, Wenxuan Tu, Fan Feng +4
Left atrial (LA) segmentation is a crucial technique for irregular heartbeat (i.e., atrial fibrillation) diagnosis. Most current methods for LA segmentation strictly assume that th…
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana +1
We approach the challenge of addressing semi-supervised domain generalization (SSDG). Specifically, our aim is to obtain a model that learns domain-generalizable features by levera…
Performance of Machine Learning Classification in Mammography Images using BI-RADS
Malitha Gunawardhana, Norbert Zolek
This research aims to investigate the classification accuracy of various state-of-the-art image classification models across different categories of breast ultrasound images, as de…