3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.LG2026
Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury
Weizhi Nie, Haolin Chen
Accurate early prediction of Acute Kidney Injury (AKI) is critical for timely clinical intervention. However, existing deep learning models struggle with irregularly sampled data a…