6 papers
Morphology-Aware Implicit Super-Resolution Network for Pathological Images
Jiaming Liang, QiHui Han, Haolin Chen +5
Accurate diagnosis in Digital Pathology (DP) relies on high-resolution whole-slide images, yet clinical deployment is often limited by hardware costs. Super-Resolution (SR) offers…
S-Diff: Structural Semantic Synergy Diffusion Model for High Fidelity Super Resolution of Pathological Images
Jiaming Liang, QiHui Han, Guangye Ou +6
Digital pathology relies on high-resolution whole slide images for accurate diagnosis, yet limitations in imaging devices, storage, and transmission often make lower-resolution pat…
CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification
Jiaming Liang, Haolin Chen, Tingting Li +7
Microbial density is clinically important for tumor assessment and treatment decision-making, and recent advances in deep learning suggest that it can be non-invasively inferred fr…
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
Jiawen Liu, Yuanbo Zeng, Jiaming Liang +5
Accurate detection of retinal vessels plays a critical role in reflecting a wide range of health status indicators in the clinical diagnosis of ocular diseases. Recently, advances…
Evolvable Graph Diffusion Optimal Transport with Pattern-Specific Alignment for Brain Connectome Modeling
Xiaoqi Sheng, Jiawen Liu, Jiaming Liang +2
Network analysis of human brain connectivity indicates that individual differences in cognitive abilities arise from neurobiological mechanisms inherent in structural and functiona…
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
Jiaming Liang, Lihuan Dai, Xiaoqi Sheng +6
Multimodal medical image segmentation faces significant challenges in the context of gastric cancer lesion analysis. This clinical context is defined by the scarcity of independent…