Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. - Wei Li; Shu Liao; Qianjin Feng 003; Wufan Chen; Dinggang Shen (MICCAI (3), 2011)

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. - Yu Zhang 064; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng 003; Jun Lian; Wufan Chen; Dinggang Shen (CVPR, 2012)

Non-local Means Resolution Enhancement of Lung 4D-CT Data. - Yu Zhang 064; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng 003; Jun Lian; Wufan Chen; Dinggang Shen (MICCAI (1), 2012)

Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. - Yu Zhang 064; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng 003; Jun Lian; Wufan Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2012)

A Novel Adaptive Level Set Segmentation Method. - Yazhong Lin; Qian Zheng; Jiaqiang Chen; Qian Cai; Qianjin Feng 003 (Comput. Math. Methods Medicine, 2014)

Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior. - Yisu Lu; Jun Jiang; Wei Yang 006; Qianjin Feng 003; Wufan Chen (Comput. Math. Methods Medicine, 2014)

FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. - Meiyan Huang; Thomas E. Nichols; Chao Huang 005; Yang Yu 053; Zhaohua Lu; Rebecca C. Knickmeyer; Qianjin Feng 003; Hongtu Zhu (NeuroImage, 2015)

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. - Yujia Zhou 001; Pew-Thian Yap; Han Zhang 002; Lichi Zhang; Qianjin Feng 003; Dinggang Shen (MICCAI (1), 2017)

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. - Wei Yang 006; Yingyin Chen; Yunbi Liu; Liming Zhong; Genggeng Qin; Zhentai Lu; Qianjin Feng 003; Wufan Chen (Medical Image Anal., 2017)

Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. - Shumao Pang; Stephanie Leung; Ilanit Ben Nachum; Qianjin Feng 003; Shuo Li 001 (MICCAI (2), 2018)

Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector. - Wei Yang 006; Yunbi Liu; Liyan Lin; Zhaoqiang Yun; Zhentai Lu; Qianjin Feng 003; Wufan Chen (IEEE J. Biomed. Health Informatics, 2018)

Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors. - Wei Yang 006; Liming Zhong; Yang Chen 008; Liyan Lin; Zhentai Lu; Shupeng Liu; Yao Wu; Qianjin Feng 003; Wufan Chen (IEEE Trans. Medical Imaging, 2018)

Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain. - Yingyin Chen; Xiaofang Gou; Xiuxia Feng; Yunbi Liu; Genggeng Qin; Qianjin Feng 003; Wei Yang 006; Wufan Chen (IEEE Access, 2019)

Multiscale Context-Cascaded Ensemble Framework (MsC2EF): Application to Breast Histopathological Image. - Zhenyuan Ning; Xinsen Zhang; Chao Tu; Qianjin Feng 003; Yu Zhang 064 (IEEE Access, 2019)

Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets. - Yunbi Liu; Xiao Zhang 026; Guangwei Cai; Yingyin Chen; Zhaoqiang Yun; Qianjin Feng 003; Wei Yang 006 (Comput. Methods Programs Biomed., 2019)

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images. - Lijun Zhao; Zixiao Lu; Jun Jiang; Yujia Zhou 001; Yi Wu; Qianjin Feng 003 (J. Digit. Imaging, 2019)

Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization. - Shumao Pang; Zhihai Su; Stephanie Leung; Ilanit Ben Nachum; Bo Chen 013; Qianjin Feng 003; Shuo Li 001 (Medical Image Anal., 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 003; Yikai Xu; Wufan Chen; Tao Chen; Yu Zhang 064 (IEEE J. Biomed. Health Informatics, 2019)

Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. - Shumao Pang; Zhentai Lu; Jun Jiang; Lei Zhao 015; Liyan Lin; Xueli Li; Tao Lian; Meiyan Huang; Wei Yang 006; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 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 003 (IEEE Trans. Medical Imaging, 2019)

Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage. - Liming Zhong; Xiao Zhang 026; Yuhua Xi; Zhouyang Lian; Qianjin Feng 003; Wufan Chen; Shuixing Zhang; Wei Yang 006 (IEEE Access, 2020)

CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. - Zhenyuan Ning; Ke Wang; Shengzhou Zhong; Qianjin Feng 003; Yu Zhang 064 (CoRR, 2020)

(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. - Liming Zhong; Tengfei Li 001; Hai Shu; Chao Huang 005; Jason M. Johnson; Donald F. Schomer; Ho-Ling Liu; Qianjin Feng 003; Wei Yang 006; Hongtu Zhu (NeuroImage, 2020)

Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. - Liyan Lin; Xi Tao; Shumao Pang; Zhihai Su; Hai Lu; Shuo Li 001; Qianjin Feng 003; Bo Chen 013 (IEEE J. Biomed. Health Informatics, 2020)

Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. - Liming Zhong; Yanlin Chen; Xiao Zhang 026; Shupeng Liu; Yuankui Wu; Yunbi Liu; Liyan Lin; Qianjin Feng 003; Wufan Chen; Wei Yang 006 (IEEE J. Biomed. Health Informatics, 2020)

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. - Yuhang Sun; Dongming Wei; Zhiming Cui; Yujia Zhou 001; Caiwen Jiang; Jiameng Liu; Qianjin Feng 003; Dinggang Shen (MICCAI (7), 2021)

View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs. - Yuhua Xi; Liming Zhong; Weijie Xie; Genggeng Qin; Yunbi Liu; Qianjin Feng 003; Wei Yang 006 (IEEE Access, 2021)

Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease. - Meiyan Huang; Haoran Lai; Yuwei Yu; Xiumei Chen; Tao Wang 168; Qianjin Feng 003 (Medical Image Anal., 2021)

Deep cross-view co-regularized representation learning for glioma subtype identification. - Zhenyuan Ning; Chao Tu; Xiaohui Di; Qianjin Feng 003; Yu Zhang 064 (Medical Image Anal., 2021)

Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. - Liyan Lin; Xi Tao; Wei Yang 006; Shumao Pang; Zhihai Su; Hai Lu; Shuo Li 001; Qianjin Feng 003; Bo Chen 013 (IEEE J. Biomed. Health Informatics, 2021)

Automatic Aortic Dissection Centerline Extraction Via Morphology-Guided CRN Tracker. - Jingliang Zhao; Qianjin Feng 003 (IEEE J. Biomed. Health Informatics, 2021)

Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease. - Meiyan Huang; Xiumei Chen; Yuwei Yu; Haoran Lai; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 2021)

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

SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation. - Shumao Pang; Chunlan Pang; Lei Zhao 015; Yangfan Chen; Zhihai Su; Yujia Zhou 001; Meiyan Huang; Wei Yang 006; Hai Lu; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 2021)

Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. - Bin Wang 068; Lin Teng; Lanzhuju Mei; Zhiming Cui; Xuanang Xu; Qianjin Feng 003; Dinggang Shen (MICCAI (8), 2022)

2D-3D cascade network for glioma segmentation in multisequence MRI images using multiscale information. - Jianyun Cao; Haoran Lai; Jiawei Zhang; Junde Zhang; Tao Xie; Heqing Wang; Junguo Bu; Qianjin Feng 003; Meiyan Huang (Comput. Methods Programs Biomed., 2022)

Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases. - Xiumei Chen; Tao Wang 168; Haoran Lai; Xiaoling Zhang; Qianjin Feng 003; Meiyan Huang (Medical Image Anal., 2022)

DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network. - Shumao Pang; Chunlan Pang; Zhihai Su; Liyan Lin; Lei Zhao 015; Yangfan Chen; Yujia Zhou 001; Hai Lu; Qianjin Feng 003 (Medical Image Anal., 2022)

Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma. - Haoran Lai; Sirui Fu; Jie Zhang; Jianyun Cao; Qianjin Feng 003; Ligong Lu; Meiyan Huang (IEEE Trans. Medical Imaging, 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 003; 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 003; Wufan Chen; Yu Zhang 064 (IEEE Trans. Medical Imaging, 2022)

Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression. - Jingliang Zhao; Jie Zhao 031; Shumao Pang; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 2022)

MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. - Jiadong Zhang; Qianqian Chen 002; Luping Zhou; Zhiming Cui; Fei Gao 010; Zhenhui Li; Qianjin Feng 003; Dinggang Shen (CaPTion@MICCAI, 2023)

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. - Yuhang Sun; Jiameng Liu; Feihong Liu; Kaicong Sun; Han Zhang 002; Feng Shi 001; Qianjin Feng 003; Dinggang Shen (MLMI@MICCAI (1), 2023)

Semi-supervised hybrid spine network for segmentation of spine MR images. - Meiyan Huang; Shuoling Zhou; Xiumei Chen; Haoran Lai; Qianjin Feng 003 (Comput. Medical Imaging Graph., 2023)

Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. - Zhenyuan Ning; Yixiao Mao; Qianjin Feng 003; Shengzhou Zhong; Yu Zhang 064 (CoRR, 2023)

QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration. - Liming Zhong; Zeli Chen; Hai Shu; Yikai Zheng; Yiwen Zhang; Yuankui Wu; Qianjin Feng 003; Yin Li; Wei Yang 006 (Medical Image Anal., 2023)

Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data. - Zhangxin Zhao; Qianjin Feng 003; Yu Zhang 064; Zhenyuan Ning (Briefings Bioinform., 2023)

Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images. - Yunbi Liu; Fengxia Zeng; Mengwei Ma; Bowen Zheng; Zhaoqiang Yun; Genggeng Qin; Wei Yang 006; Qianjin Feng 003 (Comput. Medical Imaging Graph., 2023)

United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration. - Liming Zhong; Pinyu Huang; Hai Shu; Yin Li; Yiwen Zhang; Qianjin Feng 003; Yuankui Wu; Wei Yang 006 (Comput. Methods Programs Biomed., 2023)

SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field. - Lei Zhao 015; Shumao Pang; Yangfan Chen; Xiongfeng Zhu; Ziyue Jiang 003; Zhihai Su; Hai Lu; Yujia Zhou 001; Qianjin Feng 003 (Medical Image Anal., 2023)

Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers. - Zhenyuan Ning; Zhangxin Zhao; Qianjin Feng 003; 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 003; Wufan Chen; Yu Zhang 064 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases. - Tao Wang 168; Xiumei Chen; Jiawei Zhang; Qianjin Feng 003; Meiyan Huang (Medical Image Anal., 2023)

Unsupervised dual-domain disentangled network for removal of rigid motion artifacts in MRI. - Boya Wu; Caixia Li; Jiawei Zhang; Haoran Lai; Qianjin Feng 003; Meiyan Huang (Comput. Biol. Medicine, 2023)

Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. - Yiwen Zhang; Liming Zhong; Hai Shu; Zhenhui Dai; Kaiyi Zheng; Zefeiyun Chen; Qianjin Feng 003; Xuetao Wang; Wei Yang 006 (IEEE Trans. Artif. Intell., 2023)

Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment. - Tao Wang 168; Xiumei Chen; Xiaoling Zhang; Shuoling Zhou; Qianjin Feng 003; Meiyan Huang (Expert Syst. Appl., 2023)

BreasTDLUSeg: A coarse-to-fine framework for segmentation of breast terminal duct lobular units on histopathological whole-slide images. - Zixiao Lu; Kai Tang; Yi Wu; Xiaoxuan Zhang; Ziqi An; Xiongfeng Zhu; Qianjin Feng 003; Yinghua Zhao (Comput. Medical Imaging Graph., 2024)

Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data. - Denghui Du; Qianjin Feng 003; Wufan Chen; Zhenyuan Ning; Yu Zhang 064 (Expert Syst. Appl., 2024)

PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis. - Wencong Zhang; Lei Zhao 015; Hang Gou; Yanggang Gong; Yujia Zhou 001; Qianjin Feng 003 (Medical Image Anal., 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 003; Gang Li 001; Yu Zhang 064 (NeuroImage, 2024)

Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. - Yuhang Sun; Yuning Gu; Feng Shi 001; Jiameng Liu; Guoqiang Li; Qianjin Feng 003; Dinggang Shen (Comput. Medical Imaging Graph., 2024)

Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy. - Lin Teng; Bin Wang 068; Xuanang Xu; Jiadong Zhang; Lanzhuju Mei; Qianjin Feng 003; Dinggang Shen (Medical Image Anal., 2024)

Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. - Qianqian Chen 002; Jiadong Zhang; Runqi Meng; Lei Zhou 003; Zhenhui Li; Qianjin Feng 003; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images. - Zhenyuan Ning; Yixiao Mao; Xiaotong Xu; Qianjin Feng 003; Shengzhou Zhong; Yu Zhang 064 (Eng. Appl. Artif. Intell., 2025)

Multi-scale camouflaged feature mining and fusion network for liver tumor segmentation. - Lei Yang; Jiawei Zhang; Tao Wang 168; Qianjin Feng 003; Sirui Fu; Meiyan Huang (Eng. Appl. Artif. Intell., 2025)

TransFArchNet: Predicting dental arch curves based on facial point clouds in personalized panoramic X-ray imaging. - Guoye Lin; Shuo Yang; Yangfan Chen; Qing Xu; Pew-Thian Yap; Zhaoqiang Yun; Qianjin Feng 003 (Expert Syst. Appl., 2025)

Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images. - Yixiao Mao; Qianjin Feng 003; 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 003; 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 003; 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 003; Yu Zhang 064; Zhenyuan Ning (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI. - Lin Teng; Yichu He; Zehong Cao; Rui Hua; Ye Han; Qianjin Feng 003; Feng Shi 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis. - Chao Tu; Kun Huang; Jie Zhang; Qianjin Feng 003; Yu Zhang 064; Zhenyuan Ning (CoRR, 2025)