Research

Medical Image Processing & Computing

We design advanced algorithms for classification, segmentation, reconstruction, and registration across various modalities, including X-ray, MRI, CT, and Ultrasound.

Computational Pathology

We develop robust learning frameworks for whole-slide image (WSI) analysis, multi-modal survival analysis, virtual staining, and spatial transcriptomics prediction.

Explainable Artificial Intelligence (XAI)

Investigating interpretable deep learning models to bridge the gap between complex algorithms and clinical trust.

Hardware Acceleration

Architecture design and optimization of FPGA-based deep learning hardware accelerators for real-time edge deployment.