1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen, Luis Rademacher
We propose a new algorithm for tensor decomposition, based on Jennrich's algorithm, and apply our new algorithmic ideas to blind deconvolution and Gaussian mixture models. Our firs…