Extending motor imagery by speech imagery for brain-computer interface. - Li Wang 026; Xiong Zhang 002; Yu Zhang 064 (EMBC, 2013)

Brain extraction based on locally linear representation-based classification. - Meiyan Huang; Wei Yang 006; Jun Jiang; Yao Wu; Yu Zhang 064; Wufan Chen; Qianjin Feng (NeuroImage, 2014)

Unsupervised 3D shape segmentation and co-segmentation via deep learning. - Zhenyu Shu; Chengwu Qi; Shi-Qing Xin; Chao Hu; Li Wang 026; Yu Zhang 064; Ligang Liu 001 (Comput. Aided Geom. Des., 2016)

Multiscale Context-Cascaded Ensemble Framework (MsC2EF): Application to Breast Histopathological Image. - Zhenyuan Ning; Xinsen Zhang; Chao Tu; Qianjin Feng; Yu Zhang 064 (IEEE Access, 2019)

From Abstractions to "Natural Languages" for Planning Agents. - Yu Zhang 064; Li Wang 026 (CoRR, 2019)

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features. - Zhenyuan Ning; Jiaxiu Luo; Yong Li; Shuai Han; Qianjin Feng; Yikai Xu; Wufan Chen; Tao Chen; Yu Zhang 064 (IEEE J. Biomed. Health Informatics, 2019)

Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration. - Yujia Zhou 001; Yuhang Sun; Wei Yang 006; Zhentai Lu; Meiyan Huang; Lijun Lu; Yu Zhang 064; Yanqiu Feng; Wufan Chen; Qianjin Feng (IEEE Trans. Medical Imaging, 2019)

Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images. - Zhenyuan Ning; Chao Tu; Qing Xiao 003; Jiaxiu Luo; Yu Zhang 064 (MICCAI (6), 2020)

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. - Zhenyuan Ning; Yu Zhang 064; Yongsheng Pan; Tao Zhong 002; Mingxia Liu 001; Dinggang Shen (MLMI@MICCAI, 2020)

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. - Tao Zhong 002; Yu Zhang 064; Fenqiang Zhao; Yuchen Pei; Lufan Liao; Zhenyuan Ning; Li Wang 026; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning. - Shangqing Liu; Xinrui Yuan; Runyue Hu; Shujun Liang; Shaohua Feng; Yuhua Ai; Yu Zhang 064 (IEEE Access, 2020)

Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma. - Zhenyuan Ning; Weihao Pan; Yuting Chen; Qing Xiao 003; Xinsen Zhang; Jiaxiu Luo; Jian Wang; Yu Zhang 064 (Bioinform., 2020)

CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. - Zhenyuan Ning; Ke Wang; Shengzhou Zhong; Qianjin Feng; Yu Zhang 064 (CoRR, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. - Shujun Liang; Kim-Han Thung; Dong Nie; Yu Zhang 064; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Deep cross-view co-regularized representation learning for glioma subtype identification. - Zhenyuan Ning; Chao Tu; Xiaohui Di; Qianjin Feng; Yu Zhang 064 (Medical Image Anal., 2021)

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. - Tao Zhong 002; Fenqiang Zhao; Yuchen Pei; Zhenyuan Ning; Lufan Liao; Zhengwang Wu; Yuyu Niu; Li Wang 026; Dinggang Shen; Yu Zhang 064; Gang Li 001 (NeuroImage, 2021)

Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis. - Zhenyuan Ning; Qing Xiao 003; Qianjin Feng; Wufan Chen; Yu Zhang 064 (IEEE Trans. Medical Imaging, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images. - Chao Tu; Yu Zhang 064; Zhenyuan Ning (NeurIPS, 2022)

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. - Tao Zhong 002; Jingkuan Wei; Kunhua Wu; Liangjun Chen; Fenqiang Zhao; Yuchen Pei; Ya Wang; Hongjiang Zhang; Zhengwang Wu; Ying Huang 007; Tengfei Li 001; Li Wang 026; et al. (NeuroImage, 2022)

Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data. - Zhenyuan Ning; Denghui Du; Chao Tu; Qianjin Feng; Yu Zhang 064 (IEEE Trans. Medical Imaging, 2022)

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image. - Zhenyuan Ning; Shengzhou Zhong; Qianjin Feng; Wufan Chen; Yu Zhang 064 (IEEE Trans. Medical Imaging, 2022)

Dental Anatomy Segmentation from Cone Beam CT Images. - Minhui Tang; Yu Fang; Lei Ma 006; Yu Zhang 064; Zhiming Cui; Dinggang Shen (ISBI, 2023)

Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. - Xueyang Wu 003; Tao Zhong 002; Shujun Liang; Li Wang 026; Gang Li 001; Yu Zhang 064 (MICCAI (4), 2023)

Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. - Xinrui Yuan; Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Yu Zhang 064; Gang Li 001 (MICCAI (9), 2023)

Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. - Zhenyuan Ning; Yixiao Mao; Qianjin Feng; Shengzhou Zhong; Yu Zhang 064 (CoRR, 2023)

Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data. - Zhangxin Zhao; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (Briefings Bioinform., 2023)

MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework. - Shengzhou Zhong; Chao Tu; Xiuyu Dong; Qianjin Feng; Wufan Chen; Yu Zhang 064 (Comput. Methods Programs Biomed., 2023)

Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers. - Zhenyuan Ning; Zhangxin Zhao; Qianjin Feng; Wufan Chen; Qing Xiao 003; Yu Zhang 064 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data. - Zhenyuan Ning; Zehui Lin; Qing Xiao 003; Denghui Du; Qianjin Feng; Wufan Chen; Yu Zhang 064 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. - Tao Zhong 002; Ya Wang; Xiaotong Xu; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Gang Li 001; Yu Zhang 064 (Comput. Medical Imaging Graph., 2024)

Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data. - Denghui Du; Qianjin Feng; Wufan Chen; Zhenyuan Ning; Yu Zhang 064 (Expert Syst. Appl., 2024)

nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. - Tao Zhong 002; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Shihua Yang; Zhuang Kang; Qianjin Feng; Gang Li 001; Yu Zhang 064 (NeuroImage, 2024)

Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images. - Chao Tu; Denghui Du; Tieyong Zeng; Yu Zhang 064 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Margin-Maximized Norm-Mixed Representation Learning for Autism Spectrum Disorder Diagnosis With Multi-Level Flux Features. - Qing Xiao 003; Haozhe Xu; Zhiqin Chu; Qianjin Feng; Yu Zhang 064 (IEEE Trans. Biomed. Eng., 2024)

A progressive framework for tooth and substructure segmentation from cone-beam CT images. - Minhui Tan; Zhiming Cui; Tao Zhong 002; Yu Fang; Yu Zhang 064; Dinggang Shen (Comput. Biol. Medicine, 2024)

Cross-Domain Mutual-Assistance Learning Framework for Fully Automated Diagnosis of Primary Tumor in Nasopharyngeal Carcinoma. - Xiuyu Dong; Kaifan Yang; Jinyu Liu; Fan Tang; Wenjun Liao; Yu Zhang 064; Shujun Liang (IEEE Trans. Medical Imaging, 2024)

TIPs: Tooth instance and pulp segmentation based on hierarchical extraction and fusion of anatomical priors from cone-beam CT. - Tao Zhong 002; Yang Ning; Xueyang Wu 003; Li Ye; Chichi Li; Yu Zhang 064; Yu Du (Artif. Intell. Medicine, 2025)

DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images. - Zhenyuan Ning; Yixiao Mao; Xiaotong Xu; Qianjin Feng; Shengzhou Zhong; Yu Zhang 064 (Eng. Appl. Artif. Intell., 2025)

Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images. - Yixiao Mao; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (Medical Image Anal., 2025)

Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages. - Haozhe Xu; Jian Wang; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (Medical Image Anal., 2025)

Cross-view discrepancy-dependency network for volumetric medical image segmentation. - Shengzhou Zhong; Wenxu Wang 001; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (Medical Image Anal., 2025)

Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression. - Qing Xiao 003; Guiying Liu; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder. - Xinrui Yuan; Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Yu Zhang 064; Ruiyuan Liu; Gang Li 001 (IEEE Trans. Medical Imaging, 2025)