Wei Shao

100 papers A* 5A 2Journal 74Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective.
CoRR
Junjie Zhou, Bao Xue, Meiling Wang, Wei Shao, Daoqiang Zhang
2026 J jnl
Heterogeneous Modality Dynamic Trustworthy Fusion Network for Cross-Subject Sleep Stage Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Kun Wang, Qi Zhu, Junyong Zhao, Chuhang Zheng, Wei Shao, Daoqiang Zhang
2026 J jnl
IP-MIML: A multi-instance multi-label learning framework for predicting protein subcellular localization from biological images.
Displays
Xinyue Chen, Hang Shi, Shi-bing Guan, Wei Shao
2026 J jnl
Identification of Genetic Risk Factors Based on Disease Progression Derived From Modeling Longitudinal Phenotype Latent Pattern Representation.
IEEE Trans. Medical Imaging
Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2026 J jnl
Open-Set Active Learning for Nucleus Detection From the Histopathological Images.
IEEE Trans. Medical Imaging
Jiao Tang, Yagao Yue, Wei Chu, Mingliang Wang, Yulin Wang, Peng Wan, Andrey S. Krylov, Wei Shao, Daoqiang Zhang
2026 J jnl
ProtoMTG: Prototypical Multi-Task Learning for the Generation of Multiple Stained Immunohistochemical Images.
IEEE Trans. Medical Imaging
Junjie Zhou, Andrey S. Krylov, Jianpeng Sheng, Qi Zhu, Wei Shao, Daoqiang Zhang
2026 J jnl
Trustworthy Multi-Modal Ultrasound Fusion via Uncertainty Calibration and Conflict Resolution.
IEEE Trans. Medical Imaging
Peng Wan, Limei Wei, Shukang Zhang, Haiyan Xue, Wei Shao, Wentao Kong, Daoqiang Zhang
2025 — conf
Cost-Effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment.
MICCAI (13)
Jiao Tang, Yuankun Zu, Qi Zhu, Peng Wan, Daoqiang Zhang, Wei Shao
2025 A* conf
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction.
CVPR
Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao
2025 J jnl
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction.
CoRR
Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao
2025 J jnl
Deep Ring-Wise Block Network for Joint Association Analysis and Alzheimer's Disease Diagnosis With Interpretability.
IEEE Trans. Comput. Biol. Bioinform.
Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2025 J jnl
DemuxTrans: Transformer and temporal convolution network for accurate barcode demultiplexing in nanopore sequencing.
Bioinform.
Liyuan Shu, Deyu Zhuang, Jiao Tang, Junyong Zhao, Wei Shao, Xiaoyu Guan, Daoqiang Zhang
2025 J jnl
Discovering Differential Imaging Genetic Modules via Multimodal Fusion-Based Hypergraph Transductive Learning in Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Meiling Wang, Liang Sun, Wei Shao, Daoqiang Zhang
2025 J jnl
Edge-enhanced semi-supervised vertical convolutional neural network for tubular structure segmentation: Application to medical images.
Pattern Recognit.
Junyong Zhao, Liang Sun, Zhi Sun, Yanling Fu, Wei Shao, Xin Zhou, Haipeng Si, Daoqiang Zhang
2025 J jnl
Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst.
Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2025 J jnl
Interpretable Dynamic Brain Network Analysis With Functional and Structural Priors.
IEEE Trans. Medical Imaging
Shengrong Li, Qi Zhu, Chunwei Tian, Wei Shao, Daoqiang Zhang
2025 — conf
LTSE: Language-Guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture.
MICCAI (6)
Jiao Tang, Bo Qian, Peng Wan, Wei Shao, Daoqiang Zhang
2025 J jnl
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification.
CoRR
Junjie Zhou, Wei Shao, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang
2025 J jnl
Multi-Modal Cross-Subject Emotion Feature Alignment and Recognition With EEG and Eye Movements.
IEEE Trans. Affect. Comput.
Qi Zhu, Ting Zhu, Lunke Fei, Chuhang Zheng, Wei Shao, David Zhang, Daoqiang Zhang
2025 A* conf
Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information.
CVPR
Hang Shi, Changxi Chi, Peng Wan, Daoqiang Zhang, Wei Shao
2025 J jnl
PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning.
CoRR
Junjie Zhou, Yingli Zuo, Feng Shi, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
2025 A* conf
Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder.
CVPR
Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2025 J jnl
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder.
CoRR
Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2025 J jnl
TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images.
IEEE Trans. Medical Imaging
Yingli Zuo, Lianyu Wang, Jianxin Liu, Shichang Feng, Yulin Wang, Qi Zhu, Wei Shao, Daoqiang Zhang
2024 J jnl
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenxuan Ge, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang
2024 — conf
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning.
MLMI@MICCAI (2)
Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2024 J jnl
Colorectal image analysis for polyp diagnosis.
Frontiers Comput. Neurosci.
Peng-Cheng Zhu, Jing-Jing Wan, Wei Shao, Xian-Chun Meng, Bolun Chen
2024 — conf
Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis.
MICCAI (5)
Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong, Haiyan Xue, Daoqiang Zhang
2024 J jnl
Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qi Zhu, Aizhen Li, Zheng Zhang, Chuhang Zheng, Junyong Zhao, Jin-Xing Liu, Daoqiang Zhang, Wei Shao
2024 — conf
Double Collaborative Learning on Functional Brain Networks for Brain Disease Classification.
ISBI
Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Wei Shao, Weixin Bian, Yang Yang, Tongchun Du
2024 J jnl
Dynamic Confidence-Aware Multi-Modal Emotion Recognition.
IEEE Trans. Affect. Comput.
Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang
2024 J jnl
Enhancing hazardous material vehicle detection with advanced feature enhancement modules using HMV-YOLO.
Frontiers Neurorobotics
Ling Wang, Bushi Liu, Wei Shao, Zhe Li, Kailu Chang, Wenjie Zhu
2024 J jnl
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations.
Pattern Recognit.
Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao
2024 J jnl
Identification of essential plasma protein using manifold regularized sparse group-lasso for prediction of Alzheimer's disease.
Displays
Zhi Ma, Xi Guan, Yiqun Liu, Wei Shao
2024 J jnl
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation.
IEEE Trans. Image Process.
Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang
2024 J jnl
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.
IEEE Trans. Medical Imaging
Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2024 — conf
OSAL-ND: Open-Set Active Learning for Nucleus Detection.
MICCAI (4)
Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao
2024 J jnl
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation.
CoRR
Jie Zhang, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang
2024 J jnl
SAM-Y: Attention-enhanced hazardous vehicle object detection algorithm.
IET Comput. Vis.
Shanshan Wang, Bushi Liu, Pengcheng Zhu, Xian-Chun Meng, Bolun Chen, Wei Shao, Liqing Chen
2024 J jnl
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization.
CoRR
Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao
2024 J jnl
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification.
IEEE Trans. Medical Imaging
Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
2024 J jnl
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition.
Bioinform.
Xiaoyu Guan, Wei Shao, Daoqiang Zhang
2024 A* conf
Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images.
CVPR
Wei Shao, Yangyang Shi, Daoqiang Zhang, Junjie Zhou, Peng Wan
2023 J jnl
Active learning for efficient analysis of high-throughput nanopore data.
Bioinform.
Xiaoyu Guan, Zhongnian Li, Yueying Zhou, Wei Shao, Daoqiang Zhang
2023 J jnl
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
IEEE Trans. Medical Imaging
Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2023 J jnl
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang
2023 J jnl
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.
IEEE Trans. Medical Imaging
Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2023 J jnl
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Medical Image Anal.
Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2023 J jnl
Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput.
Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2023 J jnl
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.
IEEE Trans. Big Data
Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang
2023 J jnl
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit.
Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang
2023 — conf
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.
IPMI
Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
2023 — conf
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition.
MICCAI (8)
Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu
2023 J jnl
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis.
IEEE Trans. Big Data
Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang
2023 J jnl
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell.
Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
2023 — conf
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.
MICCAI (6)
Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao
2023 J jnl
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging.
IEEE Trans. Biomed. Eng.
Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang
2022 J jnl
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC Bioinform.
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 Richard Dexter, Kun Huang
2022 — conf
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging.
BHI
Zongxiang Pei, Daoqiang Zhang, Wei Shao
2022 J jnl
Evaluating the benefits of picking and packing planning integration in e-commerce warehouses.
Eur. J. Oper. Res.
Shuya Zhong, Vaggelis Giannikas, Jorge Merino, Duncan C. McFarlane, Jun Cheng, Wei Shao
2022 — conf
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.
MICCAI (2)
Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao
2022 J jnl
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform.
Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang
2022 — conf
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.
CICAI (2)
Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao
2022 J jnl
Multimodal Triplet Attention Network for Brain Disease Diagnosis.
IEEE Trans. Medical Imaging
Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
2022 J jnl
S2Snet: deep learning for low molecular weight RNA identification with nanopore.
Briefings Bioinform.
Xiaoyu Guan, Yuqin Wang, Wei Shao, Zhongnian Li, Shuo Huang, Daoqiang Zhang
2021 J jnl
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Comput. Methods Programs Biomed.
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 Richard Dexter, Kun Huang
2021 — conf
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics.
ISBI
Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2021 J jnl
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging
Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2021 J jnl
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang
2021 A conf
Sign-aware Perturbations Regression.
SDM
Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang
2021 J jnl
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.
Yusong Liu, Xiufen Ye, Christina Y. Yu, Wei Shao, Jie Hou, Weixing Feng, Jie Zhang, Kun Huang
2021 J jnl
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.
Genom. Proteom. Bioinform.
Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama, Maher E. Rizkalla, Kun Huang, Jie Zhang
2021 A conf
Towards Fair Cross-Domain Adaptation via Generative Learning.
WACV
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
2021 A* conf
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification.
IJCAI
Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang
2021 J jnl
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images.
IEEE Trans. Medical Imaging
Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang
2021 J jnl
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review.
Int. J. Autom. Comput.
Shuo Huang, Wei Shao, Mei-Ling Wang, Daoqiang Zhang
2020 J jnl
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics
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
2020 J jnl
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR
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
2020 J jnl
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
IEEE Trans. Medical Imaging
Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu
2020 J jnl
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process.
Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu
2020 J jnl
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Comput. Medical Imaging Graph.
Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang
2020 J jnl
Improving the Certified Robustness of Neural Networks via Consistency Regularization.
CoRR
Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang
2020 J jnl
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
IEEE Trans. Medical Imaging
Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang
2020 J jnl
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters.
CoRR
Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang
2020 J jnl
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.
Medical Image Anal.
Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang
2020 J jnl
Ordinal Pattern Kernel for Brain Connectivity Network Classification.
CoRR
Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
2020 J jnl
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
2020 J jnl
Towards Fair Cross-Domain Adaptation via Generative Learning.
CoRR
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
2019 — conf
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma.
MICCAI (4)
Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang
2019 J jnl
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform.
Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang
2019 J jnl
Reliability-based robust multi-atlas label fusion for brain MRI segmentation.
Artif. Intell. Medicine
Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
2019 — conf
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images.
MLMI@MICCAI
Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang
2019 J jnl
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage
Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
2018 J jnl
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
2018 — conf
Deep active learning for nucleus classification in pathology images.
ISBI
Wei Shao, Liang Sun, Daoqiang Zhang
2018 — conf
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.
MICCAI (2)
Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang
2018 — conf
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
MLMI@MICCAI
Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li
2017 J jnl
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.
Frontiers Comput. Sci.
Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang
2017 — conf
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.
ISBI
Liang Sun, Wei Shao, Daoqiang Zhang
2016 J jnl
Human cell structure-driven model construction for predicting protein subcellular location from biological images.
Bioinform.
Wei Shao, Mingxia Liu, Daoqiang Zhang