11 citations · 24 across the 10 of their papers we have counts for
10 papers
Pathology Context Recalibration Network for Ocular Disease Recognition
Zunjie Xiao, Xiaoqing Zhang, Risa Higashita +1
Pathology context and expert experience play significant roles in clinical ocular disease diagnosis. Although deep neural networks (DNNs) have good ocular disease recognition resul…
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
Zunjie Xiao, Xiao Wu, Tianhang Liu +5
Precise lens structure segmentation is essential for the design of intraocular lenses (IOLs) in cataract surgery. Existing deep segmentation networks typically weight all pixels eq…
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
Xiao Wu, Xiaoqing Zhang, Zunjie Xiao +3
Efficient convolutional neural network (CNN) architecture design has attracted growing research interests. However, they typically apply single receptive field (RF), small asymmetr…
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation
Zunjie Xiao, Xiaoqing Zhang, Risa Higashita +1
Ophthalmic image segmentation serves as a critical foundation for ocular disease diagnosis. Although fully convolutional neural networks (CNNs) are commonly employed for segmentati…
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration
Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao +7
Spatial pooling (SP) and cross-channel pooling (CCP) operators have been applied to aggregate spatial features and pixel-wise features from feature maps in deep neural networks (DN…
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Hongyang Jiang, Jingqi Huang, Chen Tang +3
Deep neural networks (DNNs) have promoted the development of computer aided diagnosis (CAD) systems for fundus diseases, helping ophthalmologists reduce missed diagnosis and misdia…
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
Xiaoqing Zhang, Zunjie Xiao, Xiao Wu +4
Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency…
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…
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqing Zhang, Yan Hu, Zunjie Xiao +3
Cataracts are the leading cause of visual impairment and blindness globally. Over the years, researchers have achieved significant progress in developing state-of-the-art machine l…