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2020 – today
- 2024
[c61]Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) 2024: 405-414- 2023
- [j47]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): 557-567 (2023) - 2022
- [j46]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:
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): 123 (2022) - [j45]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: 108341 (2022) - [j44]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): 88-102 (2022) - [j43]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): 771-781 (2022) - [c60]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: 1-5 - 2021
- [j42]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): 57 (2021) - [j41]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: 101899 (2021) - [j40]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: 101889 (2021) - [j39]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: 101821 (2021) - [j38]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: 101824 (2021) - [j37]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: 101910 (2021) - [i8]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 abs/2109.03478 (2021) - 2020
- [j36]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: 9 (2020) - [j35]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): 2798-2805 (2020) - [j34]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): 2569-2571 (2020) - [j33]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): 2595-2605 (2020) - [c59]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: 3-13 - [c58]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: 181-189 - [i7]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 abs/2003.04655 (2020) - [i6]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 abs/2003.09860 (2020) - [i5]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 abs/2005.02690 (2020) - [i4]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 abs/2005.03264 (2020) - [i3]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 abs/2005.03405 (2020) - [i2]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 abs/2005.04043 (2020)
2010 – 2019
- 2019
- [j32]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: 33728-33740 (2019) - [j31]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: 168-178 (2019) - [j30]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): 1552-1564 (2019) - [c57]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 - [c56]Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
Hierarchical Representation For Ct Prostate Segmentation. ISBI 2019: 1501-1504 - [c55]Guangrui Mu, Yiyi Ma, Miaofei Han, Yiqiang Zhan, Xiang Zhou, Yaozong Gao:
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. Computer-Aided Diagnosis 2019: 109500X - [c54]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: 444-452 - [c53]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. Image-Guided Procedures 2019: 109510O - [i1]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 abs/1912.01054 (2019) - 2018
- [j29]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: 10-22 (2018) - [j28]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: 198-213 (2018) - [j27]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): 923-937 (2018) - [j26]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): 3500-3512 (2018) - [c52]Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi:
Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. BrainLes@MICCAI (2) 2018: 49-60 - [c51]Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen:
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 370-378 - [c50]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: 488-496 - [c49]Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen:
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR 2018: 14-21 - 2017
- [j25]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: 3-12 (2017) - [j24]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: 18-31 (2017) - [j23]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): 2803-2812 (2017) - [j22]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): 1607-1616 (2017) - [p1]Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. Deep Learning for Medical Image Analysis 2017: 197-222 - 2016
- [b1]Yaozong Gao:
Accurate Segmentation of CT Pelvic Organs via Incremental Cascade Learning and Regression-based Deformable Models. University of North Carolina, Chapel Hill, USA, 2016 - [j21]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: 1-7 (2016) - [j20]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: 44-57 (2016) - [j19]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: 317-331 (2016) - [j18]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: 223-235 (2016) - [j17]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): 1820-1829 (2016) - [j16]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): 174-183 (2016) - [j15]Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Trans. Medical Imaging 35(4): 1077-1089 (2016) - [j14]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): 1532-1543 (2016) - [j13]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): 2524-2533 (2016) - [c48]Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen:
Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI 2016: 1342-1345 - [c47]Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen:
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) 2016: 1-9 - [c46]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: 26-34 - [c45]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: 35-45 - [c44]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: 36-44 - [c43]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: 61-68 - [c42]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: 170-178 - [c41]Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen:
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI 2016: 229-236 - [c40]Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI 2016: 237-245 - [c39]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: 247-255 - [c38]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: 572-580 - 2015
- [j12]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: 277-290 (2015) - [j11]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): 135-148 (2015) - [j10]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): 345-356 (2015) - [j9]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: 160-172 (2015) - [j8]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): 2286-2303 (2015) - [c37]Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen:
Automatic parcellation of cortical surfaces using random forests. ISBI 2015: 810-813 - [c36]Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen:
Soft-Split Random Forest for Anatomy Labeling. MLMI 2015: 17-25 - [c35]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: 19-27 - [c34]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: 28-36 - [c33]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: 72-82 - [c32]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: 83-92 - [c31]Yaozong Gao, Jun Lian, Dinggang Shen:
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. MICCAI (3) 2015: 114-122 - [c30]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: 137-145 - [c29]Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen:
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI 2015: 146-154 - [c28]Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen:
Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI 2015: 186-193 - [c27]Sang Hyun Park, Yaozong Gao, Dinggang Shen:
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) 2015: 198-206 - [c26]Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen:
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI 2015: 203-211 - [c25]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: 246-254 - [c24]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: 321-329 - [c23]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: 661-668 - [c22]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: 719-726 - 2014
- [j7]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: 141-158 (2014) - [j6]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: 152-164 (2014) - [j5]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): 518-534 (2014) - [j4]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): 1761-1780 (2014) - [j3]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning to Rank Atlases for Multiple-Atlas Segmentation. IEEE Trans. Medical Imaging 33(10): 1939-1953 (2014) - [j2]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging 33(11): 2210 (2014) - [c21]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR 2014: 3111-3117 - [c20]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. MCV 2014: 22-33 - [c19]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:
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. MICCAI (2) 2014: 73-80 - [c18]Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen:
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI 2014: 93-100 - [c17]Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV 2014: 97-104 - [c16]Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen:
CT Prostate Deformable Segmentation by Boundary Regression. MCV 2014: 127-136 - [c15]Yaozong Gao, Dinggang Shen:
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. MLMI 2014: 165-173 - [c14]Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) 2014: 186-193 - [c13]Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen:
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI 2014: 264-271 - [c12]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: 280-288 - [c11]Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI 2014: 323-330 - 2013
- [j1]Shu Liao, Yaozong Gao, Jun Lian, Dinggang Shen:
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. IEEE Trans. Medical Imaging 32(2): 419-434 (2013) - [c10]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR 2013: 2227-2234 - [c9]Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen:
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. IPMI 2013: 511-523 - [c8]Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen:
MR prostate segmentation via distributed discriminative dictionary (DDD) learning. ISBI 2013: 868-871 - [c7]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:
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) 2013: 251-258 - [c6]Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen:
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. MICCAI (2) 2013: 254-261 - [c5]Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. MICCAI (2) 2013: 378-386 - [c4]Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen:
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. MICCAI (2) 2013: 649-656 - 2012
- [c3]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9 - [c2]Shu Liao, Yaozong Gao, Dinggang Shen:
Sparse Patch Based Prostate Segmentation in CT Images. MICCAI (3) 2012: 385-392 - [c1]Yaozong Gao, Shu Liao, Dinggang Shen:
Prostate Segmentation by Sparse Representation Based Classification. MICCAI (3) 2012: 451-458
Coauthor Index
[c61] [j47] [j45] [j44] [j43] [c60] [j42] [j41] [j38] [j37] [i8] [j35] [j34] [j33] [c59] [c58] [i7] [i6] [i5] [i4] [i3] [i2] [j32] [j31] [j30] [c56] [j29] [j28] [j27] [j26] [c51] [c50] [c49] [j25] [j24] [j23] [j22] [p1] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [j12] [j11] [j10] [j9] [j8] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j7] [j6] [j5] [j4] [j3] [j2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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