40 citations · 46 across the 12 of their papers we have counts for
4 papers · 1 filter
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
Mamba, a State Space Model (SSM), has recently shown competitive performance to Convolutional Neural Networks (CNNs) and Transformers in Natural Language Processing and general seq…
Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
Khanh Nguyen, Huy Hoang Nguyen, Egor Panfilov +1
Osteoarthritis (OA) is the most common musculoskeletal disease, with knee OA (KOA) being one of the leading causes of disability and a significant economic burden. Predicting KOA p…
Image-level Regression for Uncertainty-aware Retinal Image Segmentation
Trung Dang, Huy Hoang Nguyen, Aleksei Tiulpin
Accurate retinal vessel (RV) segmentation is a crucial step in the quantitative assessment of retinal vasculature, which is needed for the early detection of retinal diseases and o…
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
Trung Dang, Huy Hoang Nguyen, Aleksei Tiulpin
One of the primary challenges in brain tumor segmentation arises from the uncertainty of voxels close to tumor boundaries. However, the conventional process of generating ground tr…