1 citations · 1 across the 6 of their papers we have counts for
6 papers
Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans
Deshan Kalupahana, Sonit Singh, Praveen Ravindran +1
Accurate colon segmentation from CT images is essential for colorectal disease analysis, yet deep learning based methods often produce disconnected predictions due to complex anato…
Predicting Coronary Artery Calcium Severity based on Non-Contrast Cardiac CT images using Deep Learning
Lachlan Nguyen, Aidan Cousins, Arcot Sowmya +2
Cardiovascular disease causes high rates of mortality worldwide. Coronary artery calcium (CAC) scoring is a powerful tool to stratify the risk of atherosclerotic cardiovascular dis…
Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays
Dylan Saeed, Ramtin Gharleghi, Susann Beier +1
Coronary artery calcification (CAC) is a strong predictor of cardiovascular events, with CT-based Agatston scoring widely regarded as the clinical gold standard. However, CT is cos…
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +4
Coronary artery disease (CAD) remains the leading cause of death globally, with computed tomography coronary angiography (CTCA) serving as a key diagnostic tool. However, coronary…
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
Sonit Singh, Gordon Stevenson, Brendan Mein +2
Purpose: Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portabili…
Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +2
Coronary artery diseases are among the leading causes of mortality worldwide. Timely and accurate diagnosis, facilitated by precise coronary artery segmentation, is pivotal in chan…