Yaozong Gao

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 66

Top Venues

IEEE Trans. Medical Imaging

MLMI

Medical Image Anal.

CoRR

Publications

Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42 (2) (2023)
Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. Pattern Recognit. 122 (2022)
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, Le-cheng Jia
Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer. BMC Medical Imaging 22 (1) (2022)
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
Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging 41 (1) (2022)
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
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging 41 (4) (2022)
Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. ISBI (2022)
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
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR (2021)
Yi Xiao, Xiang Wang, Qingchu Li, Rongrong Fan, Rutan Chen, Ying Shao, Yanbo Chen, Yaozong Gao, Aie Liu, Lei Chen, Shiyuan Liu
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data. Comput. Medical Imaging Graph. 90 (2021)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67 (2021)
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
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21 (1) (2021)
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 Weight
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67 (2021)
Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. 89 (2021)
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
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68 (2021)
Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR (2020)
Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) (2020)
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
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR (2020)
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR (2020)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR (2020)
Rui Hua, Quan Huo, Yaozong Gao, He Sui, Bing Zhang, Yu Sun, Zhanhao Mo, Feng Shi
Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers Comput. Neurosci. 14 (2020)
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
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39 (8) (2020)
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
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR (2020)
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
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR (2020)
Dinggang Shen, Yaozong Gao, Arrate Muñoz-Barrutia, Delia Cabrera DeBuc, Gennaro Percannella
Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. IEEE Trans. Medical Imaging 39 (8) (2020)
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
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI (2020)
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
Hierarchical Representation For Ct Prostate Segmentation. ISBI (2019)
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. 54 (2019)
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 Weight, Nikolaos Papanikolopoulos
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR (2019)
Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. MLMI@MICCAI (2019)
Guangrui Mu, Yiyi Ma, Miaofei Han, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. Medical Imaging: Computer-Aided Diagnosis (2019)
Miaofei Han, Yu Zhang, Qiangqiang Zhou, Chengcheng Rong, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. Medical Imaging: Image-Guided Procedures (2019)
Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7 (2019)
Miaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao
Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. SegTHOR@ISBI (2019)
Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen
Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. 43 (2018)
Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi
Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. BrainLes@MICCAI (2) (2018)
Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR (2018)
Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) (2018)
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Qian Wang, Dinggang Shen
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis. IEEE Trans. Image Process. 27 (7) (2018)
Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) (2018)
Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen
Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. 43 (2018)
Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen
Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. IEEE Trans. Image Process. 27 (2) (2018)
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. 64 (12) (2017)
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. 41 (2017)
Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229 (2017)
Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI (2016)
Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen
Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI (2016)
Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI (2016)
Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52 (2016)
Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage 134 (2016)
Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI (2016)
Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI (2016)
Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI (2016)
Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI (2016)
Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) (2016)
Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen
Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 35 (12) (2016)
Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) (2016)
Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging 35 (1) (2016)
Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen
In vivo MRI based prostate cancer localization with random forests and auto-context model. Comput. Medical Imaging Graph. 52 (2016)
Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. IEEE Trans. Medical Imaging 35 (6) (2016)
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI (2016)
Yanrong Guo, Yaozong Gao, Dinggang Shen
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Trans. Medical Imaging 35 (4) (2016)
Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing 173 (2016)
Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen
7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) (2016)
Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. 63 (9) (2016)
Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI (2015)
Yaozong Gao, Jun Lian, Dinggang Shen
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. MICCAI (3) (2015)
Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen
A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. 24 (1) (2015)
Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Medical Image Anal. 26 (1) (2015)
Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI (2015)
Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen
Soft-Split Random Forest for Anatomy Labeling. MLMI (2015)
Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI (2015)
Sang Hyun Park, Yaozong Gao, Dinggang Shen
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) (2015)
Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. MLMI (2015)
Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) (2015)
Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen
Automatic parcellation of cortical surfaces using random forests. ISBI (2015)
Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 37 (11) (2015)
Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI (2015)
Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage 108 (2015)
Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) (2015)
Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen
Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI (2015)
Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI (2015)
Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI (2015)
Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen
Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. 46 (2015)
Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI (2015)
Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI (2015)
Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI (2014)
Yaozong Gao, Yiqiang Zhan, Dinggang Shen
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. IEEE Trans. Medical Imaging 33 (2) (2014)
Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen
Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage 84 (2014)
Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging 33 (9) (2014)
Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI (2014)
Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI (2014)
Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage 89 (2014)
Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen
CT Prostate Deformable Segmentation by Boundary Regression. MCV (2014)
Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging 33 (11) (2014)
Yaozong Gao, Dinggang Shen
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. MLMI (2014)
Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV (2014)
Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR (2014)
Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaozong Gao