Ke Yan
Publications by Year
Research Areas
Advanced Neural Network Applications, Medical Image Segmentation Techniques, Advanced Image and Video Retrieval Techniques, Visual Attention and Saliency Detection, Retinal Imaging and Analysis
Most-Cited Works
- → The Design of High-Level Features for Photo Quality Assessment(2006)634 cited
- → Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles(2017)145 cited
- → Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy(2017)63 cited
- → A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation(2018)49 cited
- → Automatic prostate segmentation on MR images with deep network and graph model(2016)18 cited
- → A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection(2020)18 cited
- → Deep multi-scale feature fusion for pancreas segmentation from CT images(2020)16 cited
- → Comprehensive autoencoder for prostate recognition on MR images(2016)11 cited
- → Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection(2021)7 cited
- → Multilevel affinity graph for unsupervised image segmentation(2016)4 cited