Wei Shao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 65

Top Topics

Disease Diagnosis

Convolutional Neural Network

Feature Selection

Top Venues

IEEE Trans. Medical Imaging

Publications

Jie Zhang, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation. CoRR (2024)
Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43 (6) (2024)
Xiaoyu Guan, Wei Shao, Daoqiang Zhang
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. Bioinform. 40 (2) (2024)
Wenxuan Ge, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR (2024)
Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155 (2024)
Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging 43 (6) (2024)
Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33 (2024)
Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) (2023)
Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data 9 (5) (2023)
Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133 (2023)
Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42 (9) (2023)
Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data 9 (6) (2023)
Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20 (1) (2023)
Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70 (3) (2023)
Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) (2023)
Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42 (5) (2023)
Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42 (10) (2023)
Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI (2023)
Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. Medical Image Anal. 89 (2023)
Xiaoyu Guan, Zhongnian Li, Yueying Zhou, Wei Shao, Daoqiang Zhang
Active learning for efficient analysis of high-throughput nanopore data. Bioinform. 39 (1) (2023)
Shuya Zhong, Vaggelis Giannikas, Jorge Merino, Duncan C. McFarlane, Jun Cheng, Wei Shao
Evaluating the benefits of picking and packing planning integration in e-commerce warehouses. Eur. J. Oper. Res. 301 (1) (2022)
Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) (2022)
Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) (2022)
Zongxiang Pei, Daoqiang Zhang, Wei Shao
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging. BHI (2022)
Xiaoyu Guan, Yuqin Wang, Wei Shao, Zhongnian Li, Shuo Huang, Daoqiang Zhang
S2Snet: deep learning for low molecular weight RNA identification with nanopore. Briefings Bioinform. 23 (3) (2022)
Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 41 (12) (2022)
Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. Bioinform. 38 (8) (2022)
Wei Shao, Xiao Luo, Zuoyi Zhang, Zhi Han, Vasu Chandrasekaran, Vladimir Turzhitsky, Vishal Bali, Anna R. Roberts, Megan Metzger, Jarod Baker, Carmen La Rosa, Jessica Weaver, Paul R. Dexter, Kun Huang
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. BMC Bioinform. (3) (2022)
Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang
Sign-aware Perturbations Regression. SDM (2021)
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
Towards Fair Cross-Domain Adaptation via Generative Learning. WACV (2021)
Xiao Luo, Priyanka Gandhi, Zuoyi Zhang, Wei Shao, Zhi Han, Vasu Chandrasekaran, Vladimir Turzhitsky, Vishal Bali, Anna R. Roberts, Megan Metzger, Jarod Baker, Carmen La Rosa, Jessica Weaver, Paul R. Dexter, Kun Huang
Applying interpretable deep learning models to identify chronic cough patients using EHR data. Comput. Methods Programs Biomed. 210 (2021)
Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. IEEE Trans. Medical Imaging 40 (12) (2021)
Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI (2021)
Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama, Maher E. Rizkalla, Kun Huang, Jie Zhang
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. Genom. Proteom. Bioinform. 19 (6) (2021)
Zixiao Lu, Xiaohui Zhan, Yi Wu, Jun Cheng, Wei Shao, Dong Ni, Zhi Han, Jie Zhang, Qianjin Feng, Kun Huang
: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. Genom. Proteom. Bioinform. 19 (6) (2021)
Yusong Liu, Xiufen Ye, Christina Y. Yu, Wei Shao, Jie Hou, Weixing Feng, Jie Zhang, Kun Huang
TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery. BMC Bioinform. (4) (2021)
Shuo Huang, Wei Shao, Mei-Ling Wang, Daoqiang Zhang
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. 18 (2) (2021)
Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging 40 (6) (2021)
Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39 (1) (2020)
Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65 (2020)
Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang
Improving the Certified Robustness of Neural Networks via Consistency Regularization. CoRR (2020)
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR (2020)
Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. 29 (2020)
Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. 80 (2020)
Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. CoRR (2020)
Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39 (6) (2020)
Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR (2020)
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
Towards Fair Cross-Domain Adaptation via Generative Learning. CoRR (2020)
Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96 (2019)
Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI (2019)
Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) (2019)
Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. 35 (11) (2019)
Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198 (2019)
Wei Shao, Liang Sun, Daoqiang Zhang
Deep active learning for nucleus classification in pathology images. ISBI (2018)
Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI (2018)
Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) (2018)
Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. 11 (2) (2017)
Liang Sun, Wei Shao, Daoqiang Zhang
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI (2017)
Wei Shao, Mingxia Liu, Daoqiang Zhang
Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. 32 (1) (2016)