5 papers
Is H&E Image-to-Spatial Transcriptomics Simpler Than It Looks?
Duc T. Nguyen, Thanh Ha Do, Phuong M. Cao +1
Predicting spatial gene expression from routine H&E histology offers a scalable route toward spatial molecular profiling. Recent work has pursued increasingly sophisticated archite…
Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations
Duc Tien Nguyen, Hang Tran, Trinh Minh Tuan +2
Physics-informed neural networks (PINNs) provide a mesh-free framework for solving partial differential equations, but their training is often affected by loss imbalance, optimizat…
Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving
Duc Tien Nguyen, Trinh Minh Tuan, Nguyen Duc Manh +2
Physics-informed neural networks (PINNs) provide an effective way to solve partial differential equations (PDEs) by embedding physical principles into the learning process. However…
Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1
Existing weakly supervised semantic segmentation (WSSS) methods in computational pathology rely on a multi-stage paradigm: class activation map (CAM) generation, offline pseudo-mas…
Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
Duc T. Nguyen, Hoang-Long Nguyen, Huy-Hieu Pham
Automated white blood cell (WBC) classification is essential for leukemia screening but remains challenged by extreme class imbalance, long-tail distributions, and domain shift, le…