most citedHANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2025

PPORLD-EDNetLDCT: A Proximal Policy Optimization-Based Reinforcement Learning Framework for Adaptive Low-Dose CT Denoising

Debopom Sutradhar, Ripon Kumar Debnath, Mohaimenul Azam Khan Raiaan +3

Low-dose computed tomography (LDCT) is critical for minimizing radiation exposure, but it often leads to increased noise and reduced image quality. Traditional denoising methods, s…

eess.IV2025★ 3 cited

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging

Arefin Ittesafun Abian, Ripon Kumar Debnath, Md. Abdur Rahman +5

Accurate liver and tumor segmentation on abdominal CT images is critical for reliable diagnosis and treatment planning, but remains challenging due to complex anatomical structures…