Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Foundation (evidence) and Deep learning, with related work in Artificial intelligence, Concordance, Modalities. Notable publications include 'A generalizable pathology foundation model using a unified knowledge distillation pretraining framework', 'A multimodal knowledge-enhanced whole-slide pathology foundation model', and 'DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image Validation'.
A generalizable pathology foundation model using a unified knowledge distillation pretraining framework
A multimodal knowledge-enhanced whole-slide pathology foundation model
DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image Validation
DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image Validation