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)

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)

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. - Yunbi Liu; Yongsheng Pan; Wei Yang 006; Zhenyuan Ning; Ling Yue; Mingxia Liu 001; Dinggang Shen (MICCAI (7), 2020)

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)

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)

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)

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

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)

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)

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)