858 citations · 887 across the 10 of their papers we have counts for
14 papers
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
Junde Wu, Huihui Fang, Yehui Yang +5
In medical image segmentation, it is often necessary to collect opinions from multiple experts to make the final decision. This clinical routine helps to mitigate individual bias.…
ExpNet: A unified network for Expert-Level Classification
Junde Wu, Huihui Fang, Yehui Yang +4
Different from the general visual classification, some classification tasks are more challenging as they need the professional categories of the images. In the paper, we call them…
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification
Wenshuo Zhou, Dalu Yang, Binghong Wu +6
Deep learning based medical imaging classification models usually suffer from the domain shift problem, where the classification performance drops when training data and real-world…
Attention-based Saliency Hashing for Ophthalmic Image Retrieval
Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang +2
Deep hashing methods have been proved to be effective for the large-scale medical image search assisting reference-based diagnosis for clinicians. However, when the salient region…
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
Jiansheng Fang, Xiaoqing Zhang, Yan Hu +3
Latent Factor Model (LFM) is one of the most successful methods for Collaborative filtering (CF) in the recommendation system, in which both users and items are projected into a jo…
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
Yehui Yang, Fangxin Shang, Binghong Wu +5
Diabetic retinopathy (DR) grading from fundus images has attracted increasing interest in both academic and industrial communities. Most convolutional neural network (CNN) based al…