Area of research
Aerospace Engineering · Electrical and Electronic Engineering
Research interest
Research focused on Space-time adaptive processing and Artificial intelligence, with related work in Clutter, Upsampling, BI-RADS. Notable publications include 'Slow-Time FDA-MIMO Technique With Application to STAP Radar', 'AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis', and 'Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study'.
AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis
Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
Slow-Time FDA-MIMO Technique With Application to STAP Radar