3 papers
cs.CV2026
A Unified Variational Framework for Deep Weakly Supervised Image Segmentation
Yin King Chu, Lingfeng Li, Sung Ha Kang +2
We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth perim…
cs.CV2026
DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling
Mingke Li, Jianping Zhang, Jinqiu Deng
Medical image registration benefits significantly from deep learning, yet existing approaches often lack physical explainability and fine-grained deformation control. Motivated by…
eess.IV2024
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
Jinqiu Deng, Ke Chen, Mingke Li +4
Diffeomorphic image registration is crucial for various medical imaging applications because it can preserve the topology of the transformation. This study introduces DCCNN-LSTM-Re…