Yaozong Gao - RankMe

121 papers A* 2Journal 56Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET/CT Imaging. IEEE Trans. Medical Imaging Yaozong Gao, Yiran Shu, Mingyang Yu, Yanbo Chen, Jingyu Liu, Shaonan Zhong, Weifang Zhang, Yiqiang Zhan, Xiang Sean Zhou, Xinlu Wang, Meixin Zhao, Dinggang Shen
2025	—	`conf`	Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images. IPMI (2) Mingyang Yu, Yaozong Gao, Yiran Shu, Yanbo Chen, Jingyu Liu, Caiwen Jiang, Kaicong Sun, Weifang Zhang, Yiqiang Zhan, Xiang Sean Zhou, Shaonan Zhong, Xinlu Wang, Meixin Zhao, Dinggang Shen
2025	—	`conf`	Location-Guided Automated Lesion Captioning in Whole-Body PET/CT Images. MICCAI (5) Mingyang Yu, Yaozong Gao, Yiran Shu, Yanbo Chen, Jingyu Liu, Caiwen Jiang, Kaicong Sun, Zhiming Cui, Weifang Zhang, Yiqiang Zhan, Xiang Sean Zhou, Shaonan Zhong, Xinlu Wang, Meixin Zhao, Dinggang Shen
2024	—	`conf`	LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen
2023	J	`jnl`	Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
2022	J	`jnl`	Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer. BMC Medical Imaging 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
2022	J	`jnl`	Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen
2022	—	`conf`	LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. ISBI Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen
2022	J	`jnl`	Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging Feng Shi, Bojiang Chen, Qiqi Cao, Ying Wei, Qing Zhou, Rui Zhang, Yaojie Zhou, Wenjie Yang, Xiang Wang, Rongrong Fan, Fan Yang, Yanbo Chen, Weimin Li, Yaozong Gao, Dinggang Shen
2022	J	`jnl`	Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. Pattern Recognit. Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen
2021	J	`jnl`	A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data. Comput. Medical Imaging Graph. Yi Xiao, Xiang Wang, Qingchu Li, Rongrong Fan, Rutan Chen, Ying Shao, Yanbo Chen, Yaozong Gao, Aie Liu, Lei Chen, Shiyuan Liu
2021	J	`jnl`	An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen
2021	J	`jnl`	Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue
2021	J	`jnl`	Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen
2021	J	`jnl`	Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen
2021	J	`jnl`	Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2021	J	`jnl`	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher J. Weight
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`	Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
2020	J	`jnl`	Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
2020	J	`jnl`	Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. IEEE Trans. Medical Imaging Dinggang Shen, Yaozong Gao, Arrate Muñoz-Barrutia, Delia Cabrera DeBuc, Gennaro Percannella
2020	J	`jnl`	Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen
2020	J	`jnl`	Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2020	J	`jnl`	Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
2020	J	`jnl`	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi
2020	J	`jnl`	Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers Comput. Neurosci. Rui Hua, Quan Huo, Yaozong Gao, He Sui, Bing Zhang, Yu Sun, Zhanhao Mo, Feng Shi
2020	—	`conf`	Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue
2020	—	`conf`	Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen
2019	—	`conf`	Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. Computer-Aided Diagnosis Guangrui Mu, Yiyi Ma, Miaofei Han, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
2019	J	`jnl`	CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
2019	—	`conf`	Hierarchical Representation For Ct Prostate Segmentation. ISBI Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
2019	J	`jnl`	Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen
2019	—	`conf`	Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. Image-Guided Procedures Miaofei Han, Yu Zhang, Qiangqiang Zhou, Chengcheng Rong, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
2019	—	`conf`	Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. MLMI@MICCAI Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao
2019	J	`jnl`	STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen
2019	—	`conf`	Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. SegTHOR@ISBI Miaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
2019	J	`jnl`	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher J. Weight, Nikolaos Papanikolopoulos
2018	—	`conf`	ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen
2018	—	`conf`	Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen
2018	J	`jnl`	Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. IEEE Trans. Image Process. Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen
2018	—	`conf`	Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen
2018	—	`conf`	Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. BrainLes@MICCAI (2) Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi
2018	J	`jnl`	Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis. IEEE Trans. Image Process. Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Qian Wang, Dinggang Shen
2018	J	`jnl`	Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen
2018	J	`jnl`	Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen
2017	J	`jnl`	Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2017	J	`jnl`	Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen
2017	—	`ch.`	Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. Deep Learning for Medical Image Analysis Yanrong Guo, Yaozong Gao, Dinggang Shen
2017	J	`jnl`	Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
2017	J	`jnl`	Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2016	—	`conf`	7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen
2016	J	`jnl`	A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
2016	J	`jnl`	A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2016	J	`jnl`	Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. IEEE Trans. Medical Imaging Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen
2016	—	`—`	Accurate Segmentation of CT Pelvic Organs via Incremental Cascade Learning and Regression-based Deformable Models. Yaozong Gao
2016	J	`jnl`	Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2016	—	`conf`	Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen
2016	J	`jnl`	Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Trans. Medical Imaging Yanrong Guo, Yaozong Gao, Dinggang Shen
2016	J	`jnl`	Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen
2016	J	`jnl`	Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen
2016	—	`conf`	Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen
2016	—	`conf`	Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen
2016	J	`jnl`	In vivo MRI based prostate cancer localization with random forests and auto-context model. Comput. Medical Imaging Graph. Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen
2016	—	`conf`	LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
2016	—	`conf`	Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen
2016	—	`conf`	Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2016	J	`jnl`	Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen
2015	J	`jnl`	A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2015	—	`conf`	Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen
2015	—	`conf`	Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2015	—	`conf`	Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
2015	—	`conf`	Automatic parcellation of cortical surfaces using random forests. ISBI Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen
2015	—	`conf`	Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
2015	—	`conf`	Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen
2015	—	`conf`	Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen
2015	—	`conf`	Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. MICCAI (3) Yaozong Gao, Jun Lian, Dinggang Shen
2015	J	`jnl`	LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2015	J	`jnl`	Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Medical Image Anal. Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen
2015	—	`conf`	Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) Sang Hyun Park, Yaozong Gao, Dinggang Shen
2015	—	`conf`	Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen
2015	—	`conf`	Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen
2015	—	`conf`	Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
2015	J	`jnl`	Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2015	J	`jnl`	Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2015	—	`conf`	Soft-Split Random Forest for Anatomy Labeling. MLMI Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen
2015	—	`conf`	Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. MLMI Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen
2015	—	`conf`	Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
2014	—	`conf`	CT Prostate Deformable Segmentation by Boundary Regression. MCV Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen
2014	—	`conf`	Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. MLMI Yaozong Gao, Dinggang Shen
2014	J	`jnl`	Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	—	`conf`	Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. MICCAI (2) Yi Ren, Li Wang, 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
2014	J	`jnl`	Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen
2014	J	`jnl`	Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. IEEE Trans. Medical Imaging Yaozong Gao, Yiqiang Zhan, Dinggang Shen
2014	J	`jnl`	Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
2014	—	`conf`	LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen
2014	—	`conf`	Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
2014	J	`jnl`	Learning to Rank Atlases for Multiple-Atlas Segmentation. IEEE Trans. Medical Imaging Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	A*	`conf`	Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	—	`conf`	Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen
2014	—	`conf`	Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2014	J	`jnl`	Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen
2013	—	`conf`	Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) Li Wang, Ken-Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve G. Shen, Jin Yan, Philip K. M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen
2013	—	`conf`	Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. IPMI Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen
2013	—	`conf`	Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. MICCAI (2) Yaozong Gao, Yiqiang Zhan, Dinggang Shen
2013	—	`conf`	MR prostate segmentation via distributed discriminative dictionary (DDD) learning. ISBI Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen
2013	A*	`conf`	Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2013	—	`conf`	Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. MICCAI (2) Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen
2013	J	`jnl`	Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. IEEE Trans. Medical Imaging Shu Liao, Yaozong Gao, Jun Lian, Dinggang Shen
2013	—	`conf`	Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. MICCAI (2) Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen
2012	—	`conf`	Prostate Segmentation by Sparse Representation Based Classification. MICCAI (3) Yaozong Gao, Shu Liao, Dinggang Shen
2012	—	`conf`	Sparse Patch Based Prostate Segmentation in CT Images. MICCAI (3) Shu Liao, Yaozong Gao, Dinggang Shen
2012	—	`conf`	Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen