Prostate Segmentation by Sparse Representation Based Classification. - Yaozong Gao; Shu Liao; Dinggang Shen (MICCAI (3), 2012)

Sparse Patch Based Prostate Segmentation in CT Images. - Shu Liao; Yaozong Gao; Dinggang Shen (MICCAI (3), 2012)

Transductive Prostate Segmentation for CT Image Guided Radiotherapy. - Yinghuan Shi; Shu Liao; Yaozong Gao; Daoqiang Zhang; Yang Gao 001; Dinggang Shen (MLMI, 2012)

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. - Yinghuan Shi; Shu Liao; Yaozong Gao; Daoqiang Zhang; Yang Gao 001; Dinggang Shen (CVPR, 2013)

Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. - Shu Liao; Yaozong Gao; Yinghuan Shi; Ambereen Yousuf; Ibrahim Karademir; Aytekin Oto; Dinggang Shen (IPMI, 2013)

MR prostate segmentation via distributed discriminative dictionary (DDD) learning. - Yanrong Guo; Yiqiang Zhan; Yaozong Gao; Jianguo Jiang; Dinggang Shen (ISBI, 2013)

Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. - Shu Liao; Yaozong Gao; Aytekin Oto; Dinggang Shen (MICCAI (2), 2013)

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. - Li Wang 026; Ken-Chung Chen; Feng Shi 001; Shu Liao; Gang Li 001; Yaozong Gao; Steve G. Shen; Jin Yan; Philip K. M. Lee; Ben Chow; Nancy X. Liu; James J. Xia; et al. (MICCAI (3), 2013)

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. - Guorong Wu 001; Minjeong Kim; Qian Wang 001; Yaozong Gao; Shu Liao; Dinggang Shen (MICCAI (2), 2013)

Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. - Shu Liao; Yaozong Gao; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2013)

Learning-Based Atlas Selection for Multiple-Atlas Segmentation. - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Dinggang Shen (CVPR, 2014)

Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. - Yaozong Gao; Dinggang Shen (MLMI, 2014)

Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. - Yaozong Gao; Li Wang 026; Yeqin Shao; Dinggang Shen (MLMI, 2014)

Robust Anatomical Landmark Detection for MR Brain Image Registration. - Dong Han; Yaozong Gao; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2014)

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. - Jiayin Kang; Yaozong Gao; Yao Wu; Guangkai Ma; Feng Shi 001; Weili Lin; Dinggang Shen (MLMI, 2014)

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. - Guangkai Ma; Yaozong Gao; Guorong Wu 001; Ligang Wu 001; Dinggang Shen (MCV, 2014)

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. - Sang Hyun Park 004; Yaozong Gao; Yinghuan Shi; Dinggang Shen (MLMI, 2014)

Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. - Yi Ren; Li Wang 026; Yaozong Gao; Zhen Tang; Ken-Chung Chen; Jianfu Li; Steve Guo-Fang Shen; Jin Yan; Philip K. M. Lee; Ben Chow; James J. Xia; Dinggang Shen (MICCAI (2), 2014)

CT Prostate Deformable Segmentation by Boundary Regression. - Yeqin Shao; Yaozong Gao; Xin Yang 009; Dinggang Shen (MCV, 2014)

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. - Lichi Zhang; Qian Wang 001; Yaozong Gao; Guorong Wu 001; Dinggang Shen (MLMI, 2014)

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2014)

Segmentation of neonatal brain MR images using patch-driven level sets. - Li Wang 026; Feng Shi 001; Gang Li 001; Yaozong Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2014)

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. - Yaozong Gao; Yiqiang Zhan; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Learning to Rank Atlases for Multiple-Atlas Segmentation. - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. - Yeqin Shao; Yaozong Gao; Yanrong Guo; Yonghong Shi; Xin Yang 009; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Automatic parcellation of cortical surfaces using random forests. - Yu Meng 003; Gang Li 001; Yaozong Gao; Dinggang Shen (ISBI, 2015)

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; Ken-Chung Chen; Zhen Tang; James J. Xia; Dinggang Shen (MCV@MICCAI, 2015)

Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. - Yaozong Gao; Jun Lian; Dinggang Shen (MICCAI (3), 2015)

Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. - Hongkun Ge; Guorong Wu 001; Li Wang 026; Yaozong Gao; Dinggang Shen (MLMI, 2015)

Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. - Lei Huang; Yaozong Gao; Yan Jin 001; Kim-Han Thung; Dinggang Shen (MLMI, 2015)

Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. - Tri Huynh; Yaozong Gao; Jiayin Kang; Li Wang 026; Pei Zhang 002; Dinggang Shen (MLMI, 2015)

Multi-atlas Context Forests for Knee MR Image Segmentation. - Qin Liu; Qian Wang 001; Lichi Zhang; Yaozong Gao; Dinggang Shen (MLMI, 2015)

Soft-Split Random Forest for Anatomy Labeling. - Guangkai Ma; Yaozong Gao; Li Wang 026; Ligang Wu 001; Dinggang Shen (MLMI, 2015)

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. - Guangkai Ma; Yaozong Gao; Guorong Wu 001; Ligang Wu 001; Dinggang Shen (MICCAI (3), 2015)

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. - Yu Meng 003; Gang Li 001; Yaozong Gao; John H. Gilmore; Weili Lin; Dinggang Shen (MCV@MICCAI, 2015)

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. - Sang Hyun Park 004; Yaozong Gao; Dinggang Shen (MICCAI (3), 2015)

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. - Yeqin Shao; Yanrong Guo; Yaozong Gao; Xin Yang 009; Dinggang Shen (MCV@MICCAI, 2015)

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. - Jun Zhang 018; Yaozong Gao; Li Wang 026; Zhen Tang; James J. Xia; Dinggang Shen (MICCAI (3), 2015)

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. - Lichi Zhang; Qian Wang 001; Yaozong Gao; Guorong Wu 001; Dinggang Shen (Patch-MI@MICCAI, 2015)

Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. - Pei Zhang 002; Guorong Wu 001; Yaozong Gao; Pew-Thian Yap; Dinggang Shen (MCV@MICCAI, 2015)

Robust anatomical landmark detection with application to MR brain image registration. - Dong Han; Yaozong Gao; Guorong Wu 001; Pew-Thian Yap; Dinggang Shen (Comput. Medical Imaging Graph., 2015)

A transversal approach for patch-based label fusion via matrix completion. - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Kim-Han Thung; Yanrong Guo; Dinggang Shen (Medical Image Anal., 2015)

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. - Yeqin Shao; Yaozong Gao; Qian Wang 001; Xin Yang 009; Dinggang Shen (Medical Image Anal., 2015)

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2015)

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. - Yinghuan Shi; Yaozong Gao; Shu Liao; Daoqiang Zhang; Yang Gao 001; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Fully convolutional networks for multi-modality isointense infant brain image segmentation. - Dong Nie; Li Wang 026; Yaozong Gao; Dinggang Shen (ISBI, 2016)

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. - Khosro Bahrami; Islem Rekik; Feng Shi 001; Yaozong Gao; Dinggang Shen (MICCAI (2), 2016)

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. - Xiaohuan Cao; Yaozong Gao; Jianhua Yang 005; Guorong Wu 001; Dinggang Shen (MICCAI (3), 2016)

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. - Dong Ni 001; Xing Ji; Yaozong Gao; Jie-Zhi Cheng; Huifang Wang; Jing Qin 001; Bai Ying Lei; Tianfu Wang 001; Guorong Wu 001; Dinggang Shen (MICCAI (2), 2016)

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. - Dong Nie; Xiaohuan Cao; Yaozong Gao; Li Wang 026; Dinggang Shen (LABELS/DLMIA@MICCAI, 2016)

LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. - Li Wang 026; Yaozong Gao; Gang Li 001; Feng Shi 001; Weili Lin; Dinggang Shen (MCV/BAMBI@MICCAI, 2016)

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. - Lifang Wei; Shunbo Hu; Yaozong Gao; Xiaohuan Cao; Guorong Wu 001; Dinggang Shen (MLMI@MICCAI, 2016)

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. - Zhengwang Wu; Yaozong Gao; Feng Shi 001; Valerie Jewells; Dinggang Shen (MLMI@MICCAI, 2016)

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. - Zhengwang Wu; Sang Hyun Park 004; Yanrong Guo; Yaozong Gao; Dinggang Shen (MLMI@MICCAI, 2016)

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2016)

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. - Jun Zhang 018; Mingxia Liu 001; Le An; Yaozong Gao; Dinggang Shen (MCV/BAMBI@MICCAI, 2016)

In vivo MRI based prostate cancer localization with random forests and auto-context model. - Chunjun Qian; Li Wang 026; Yaozong Gao; Ambereen Yousuf; Xiaoping Yang 001; Aytekin Oto; Dinggang Shen (Comput. Medical Imaging Graph., 2016)

A dynamic tree-based registration could handle possible large deformations among MR brain images. - Pei Zhang 002; Guorong Wu 001; Yaozong Gao; Pew-Thian Yap; Dinggang Shen (Comput. Medical Imaging Graph., 2016)

A learning-based CT prostate segmentation method via joint transductive feature selection and regression. - Yinghuan Shi; Yaozong Gao; Shu Liao; Daoqiang Zhang; Yang Gao 001; Dinggang Shen (Neurocomputing, 2016)

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. - Sang Hyun Park 004; Xiaopeng Zong; Yaozong Gao; Weili Lin; Dinggang Shen (NeuroImage, 2016)

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. - Jun Zhang 018; Yaozong Gao; Li Wang 026; Zhen Tang; James J. Xia; Dinggang Shen (IEEE Trans. Biomed. Eng., 2016)

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. - Yaozong Gao; Yeqin Shao; Jun Lian; Andrew Z. Wang; Ronald C. Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. - Yanrong Guo; Yaozong Gao; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. - Tri Huynh; Yaozong Gao; Jiayin Kang; Li Wang 026; Pei Zhang 002; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. - Jun Zhang 018; Yue Gao 002; Yaozong Gao; Brent C. Munsell; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Accurate Segmentation of CT Pelvic Organs via Incremental Cascade Learning and Regression-based Deformable Models. - Yaozong Gao (2016)

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. - Yanrong Guo; Yaozong Gao; Dinggang Shen (Deep Learning for Medical Image Analysis, 2017)

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. - Lichi Zhang; Qian Wang 001; Yaozong Gao; Hongxin Li; Guorong Wu 001; Dinggang Shen (Neurocomputing, 2017)

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. - Xiaohuan Cao; Jianhua Yang 005; Yaozong Gao; Yanrong Guo; Guorong Wu 001; Dinggang Shen (Medical Image Anal., 2017)

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. - Jun Zhang 018; Mingxia Liu 001; Le An; Yaozong Gao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2017)

Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. - Rui Hua; Quan Huo; Yaozong Gao; Yu Sun; Feng Shi 001 (BrainLes@MICCAI (2), 2018)

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. - Dong Nie; Yaozong Gao; Li Wang 026; Dinggang Shen (MICCAI (4), 2018)

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Yaozong Gao; Li Wang 026; Jianping Yin; Dinggang Shen (MICCAI (4), 2018)

Malignant Brain Tumor Classification Using the Random Forest Method. - Lichi Zhang; Han Zhang 002; Islem Rekik; Yaozong Gao; Qian Wang 001; Dinggang Shen (S+SSPR, 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model. - Zhengwang Wu; Yanrong Guo; Sang Hyun Park 004; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Segmenting hippocampal subfields from 3T MRI with multi-modality images. - Zhengwang Wu; Yaozong Gao; Feng Shi 001; Guangkai Ma; Valerie Jewells; Dinggang Shen (Medical Image Anal., 2018)

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis. - Xiaohuan Cao; Jianhua Yang 005; Yaozong Gao; Qian Wang 001; Dinggang Shen (IEEE Trans. Image Process., 2018)

Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. - Zhensong Wang; Lifang Wei; Li Wang 026; Yaozong Gao; Wufan Chen; Dinggang Shen (IEEE Trans. Image Process., 2018)

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. - Miaofei Han; Guang Yao; Wenhai Zhang; Guangrui Mu; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (SegTHOR@ISBI, 2019)

Hierarchical Representation For Ct Prostate Segmentation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (ISBI, 2019)

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. - Guangrui Mu; Yiyi Ma; Miaofei Han; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (Computer-Aided Diagnosis, 2019)

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. - Guangrui Mu; Yanbo Chen; Dijia Wu; Yiqiang Zhan; Xiang Sean Zhou; Yaozong Gao (MLMI@MICCAI, 2019)

Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. - Miaofei Han; Yu Zhang; Qiangqiang Zhou; Chengcheng Rong; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (Image-Guided Procedures, 2019)

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. - Yeqin Shao; Jaeil Kim; Yaozong Gao; Qian Wang 001; Weili Lin; Dinggang Shen (IEEE Access, 2019)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 2019)

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (Medical Image Anal., 2019)

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. - Dong Nie; Li Wang 026; Yaozong Gao; Jun Lian; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2019)

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. - Liyun Chen; Xiaohuan Cao; Lei Chen 011; Yaozong Gao; Dinggang Shen; Qian Wang 001; Zhong Xue (MICCAI (3), 2020)

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. - Tong Li; Zhuochen Wang; Yanbo Chen; Lichi Zhang; Yaozong Gao; Feng Shi 001; Dahong Qian; Qian Wang 001; Dinggang Shen (TIA@MICCAI, 2020)

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. - Fei Shan; Yaozong Gao; Jun Wang; Weiya Shi; Nannan Shi; Miaofei Han; Zhong Xue; Dinggang Shen; Yuxin Shi (CoRR, 2020)

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. - Feng Shi 001; Liming Xia; Fei Shan; Dijia Wu; Ying Wei 009; Huan Yuan; Huiting Jiang; Yaozong Gao; He Sui; Dinggang Shen (CoRR, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. - Liang Sun 009; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Wei Shao 005; Feng Shi 001; Huan Yuan; Huiting Jiang; Dijia Wu; Ying Wei 009; et al. (CoRR, 2020)

Hypergraph Learning for Identification of COVID-19 with CT Imaging. - Donglin Di; Feng Shi 001; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Shengrui Li; Ying Wei 009; Ying Shao; Miaofei Han; Yaozong Gao; et al. (CoRR, 2020)

Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. - Rui Hua; Quan Huo; Yaozong Gao; He Sui; Bing Zhang; Yu Sun; Zhanhao Mo; Feng Shi 001 (Frontiers Comput. Neurosci., 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. - Liang Sun 009; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Bin Song 002; Wanchun Gao; Wei Shao 005; Feng Shi 001; Huan Yuan; Huiting Jiang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. - Xi Ouyang; Jiayu Huo; Liming Xia; Fei Shan; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Zhongxiang Ding; Qi Yang; Bin Song 002; Feng Shi 001; Huan Yuan; et al. (IEEE Trans. Medical Imaging, 2020)

Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. - Dinggang Shen; Yaozong Gao; Arrate Muñoz-Barrutia; Delia Cabrera DeBuc; Gennaro Percannella (IEEE Trans. Medical Imaging, 2020)

Computing infection distributions and longitudinal evolution patterns in lung CT images. - Dongdong Gu; Liyun Chen; Fei Shan; Liming Xia; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Bin Song 002; Yaozong Gao; Xiaohuan Cao; Yanbo Chen; Ying Shao; et al. (BMC Medical Imaging, 2021)

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. - Liyun Chen; Dongdong Gu; Yanbo Chen; Ying Shao; Xiaohuan Cao; Guocai Liu; Yaozong Gao; Qian Wang 001; Dinggang Shen (Comput. Medical Imaging Graph., 2021)

A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data. - Yi Xiao; Xiang Wang; Qingchu Li; Rongrong Fan; Rutan Chen; Ying Shao; Yanbo Chen; Yaozong Gao; Aie Liu; Lei Chen 012; Shiyuan Liu (Comput. Medical Imaging Graph., 2021)

Hypergraph learning for identification of COVID-19 with CT imaging. - Donglin Di; Feng Shi 001; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Bin Song 002; Shengrui Li; Ying Wei 009; Ying Shao; Miaofei Han; et al. (Medical Image Anal., 2021)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (Medical Image Anal., 2021)

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. - Xiaofeng Zhu 001; Bin Song 002; Feng Shi 001; Yanbo Chen; Rongyao Hu; Jiangzhang Gan; Wenhai Zhang; Man Li; Liye Wang; Yaozong Gao; Fei Shan; Dinggang Shen (Medical Image Anal., 2021)

LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. - Mancheng Meng; Mianxin Liu; Xianjie Zhang; Yuxuan Liu; Xiran Cai; Yaozong Gao; Xiang Zhou 009; Dinggang Shen (ISBI, 2022)

Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer. - Chen-ying Ma; Ju-ying Zhou; Xiao-ting Xu; Song-bing Qin; Miao-fei Han; Xiao-huan Cao; Yaozong Gao; Lu Xu; Jing-jie Zhou; Wei Zhang; Lecheng Jia (BMC Medical Imaging, 2022)

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. - Xiaoming Liu 004; Quan Yuan; Yaozong Gao; Kelei He; Shuo Wang; Xiao Tang; Jinshan Tang; Dinggang Shen (Pattern Recognit., 2022)

Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. - Feng Shi 001; Bojiang Chen; Qiqi Cao; Ying Wei 009; Qing Zhou; Rui Zhang; Yaojie Zhou; Wenjie Yang; Xiang Wang; Rongrong Fan; Fan Yang 054; Yanbo Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. - Gengxin Xu; Chen Liu 026; Jun Liu 075; Zhongxiang Ding; Feng Shi 001; Man Guo; Wei Zhao 040; Xiaoming Li; Ying Wei 009; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. - Yanbei Liu; Henan Li; Tao Luo 010; Changqing Zhang; Zhitao Xiao; Ying Wei 009; Yaozong Gao; Feng Shi 001; Fei Shan; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. - Anglin Liu; Dengqiang Jia; Kaicong Sun; Runqi Meng; Meixin Zhao; Yongluo Jiang; Zhijian Dong; Yaozong Gao; Dinggang Shen (MICCAI (9), 2024)

Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images. - Mingyang Yu; Yaozong Gao; Yiran Shu; Yanbo Chen; Jingyu Liu 002; Caiwen Jiang; Kaicong Sun; Weifang Zhang; Yiqiang Zhan; Xiang Sean Zhou; Shaonan Zhong; Xinlu Wang; et al. (IPMI (2), 2025)