Yaozong Gao

发表

Learning‐based deformable registration for infant MRI by integrating random forest with auto‐context model

Yaozong Gao, Dinggang Shen, Guorong Wu, 2017, Medical physics.

7T‐guided super‐resolution of 3T MRI

Yaozong Gao, Dinggang Shen, Khosro Bahrami, 2017, Medical physics.

Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease

Lei Huang, Yaozong Gao, Dinggang Shen, 2015, MLMI.

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2017, Deep Learning for Medical Image Analysis.

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2016, IEEE Transactions on Medical Imaging.

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan

Yaozong Gao, Xiaofeng Zhu, Yanbo Chen, 2020, Medical Image Analysis.

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso

Yinghuan Shi, Shu Liao, Yaozong Gao, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets

Yaozong Gao, Xiang Zhou, Yiqiang Zhan, 2019, SegTHOR@ISBI.

Hierarchical Representation For Ct Prostate Segmentation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning pdf

Yaozong Gao, Dinggang Shen, Weiya Shi, 2020, ArXiv.

LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images

Yaozong Gao, Dinggang Shen, Li Wang, 2016, MCV/BAMBI@MICCAI.

Learning to Rank Atlases for Multiple-Atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2014, IEEE Transactions on Medical Imaging.

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images

Yaozong Gao, Dinggang Shen, Xin Yang, 2015, Medical Image Anal..

Hierarchical Multi-modal Image Registration by Learning Common Feature Representations

Yaozong Gao, Dinggang Shen, Guorong Wu, 2015, MLMI.

Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection.

Yinghuan Shi, Yaozong Gao, Dinggang Shen, 2014, Medical physics.

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Malignant Brain Tumor Classification Using the Random Forest Method

Yaozong Gao, Dinggang Shen, Han Zhang, 2018, S+SSPR.

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification pdf

Yaozong Gao, Dijia Wu, Dinggang Shen, 2020, ArXiv.

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2014, MCV.

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life

Yaozong Gao, Dinggang Shen, Guorong Wu, 2016, MLMI@MICCAI.

Sparse Patch Based Prostate Segmentation in CT Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model

Yaozong Gao, Dinggang Shen, Li Wang, 2016, IEEE Transactions on Medical Imaging.

A learning-based CT prostate segmentation method via joint transductive feature selection and regression

Yinghuan Shi, Shu Liao, Yaozong Gao, 2016, Neurocomputing.

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest

Yaozong Gao, Lei Huang, Kim-Han Thung, 2016, Neurobiology of Aging.

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images

Yaozong Gao, Dinggang Shen, Qian Wang, 2014, MLMI.

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks

Yaozong Gao, Dinggang Shen, Xiaohuan Cao, 2016, LABELS/DLMIA@MICCAI.

Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images

Yaozong Gao, Dinggang Shen, 2014, MLMI.

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease

Yaozong Gao, Xiang Zhou, Yiqiang Zhan, 2019, Medical Imaging.

Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care

Yaozong Gao, Cheng Li, Wei Hu, 2020, EBioMedicine.

Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization.

Shu Liao, Yaozong Gao, Dinggang Shen, 2014, Medical physics.

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2017, IEEE Transactions on Biomedical Engineering.

Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs

Yaozong Gao, Dinggang Shen, Jun Lian, 2015, MICCAI.

Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data

Yaozong Gao, Dinggang Shen, Li Wang, 2015, MLMI.

Hypergraph learning for identification of COVID-19 with CT imaging

Yaozong Gao, Dinggang Shen, Yue Gao, 2020, Medical Image Analysis.

Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, IEEE Transactions on Medical Imaging.

Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis

Yaozong Gao, Dinggang Shen, Yue Gao, 2016, IEEE Transactions on Medical Imaging.

Collaborative regression-based anatomical landmark detection.

Yaozong Gao, Dinggang Shen, 2015, Physics in medicine and biology.

Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images

Yaozong Gao, Dinggang Shen, Li Wang, 2014, MLMI.

Robust anatomical landmark detection with application to MR brain image registration

Yaozong Gao, Dinggang Shen, Dong Han, 2015, Comput. Medical Imaging Graph..

Estimating patient-specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation.

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Medical physics.

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2015, MICCAI.

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest

Yaozong Gao, Dinggang Shen, Li Wang, 2015, MCV@MICCAI.

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

Yaozong Gao, Dinggang Shen, Yeqin Shao, 2016, IEEE Transactions on Medical Imaging.

Fully convolutional networks for multi-modality isointense infant brain image segmentation

Yaozong Gao, Dinggang Shen, Li Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

CT Prostate Deformable Segmentation by Boundary Regression

Yaozong Gao, Dinggang Shen, Xin Yang, 2014, MCV.

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization

Yinghuan Shi, Yaozong Gao, Dinggang Shen, 2014, MLMI.

Learning to Rank Atlases for Multiple-Atlas Segmentation

Yaozong Gao, Guorong Wu, Gerard Sanroma, 2014, IEEE Transactions on Medical Imaging.

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2016, MCV/BAMBI@MICCAI.

Segmentation of kidney tumor by multi-resolution VB-nets

Yaozong Gao, Miaofei Han, Guang Yao, 2019, Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19.

Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19

Yaozong Gao, Gennaro Percannella, Delia Cabrera DeBuc, 2020, IEEE Trans. Medical Imaging.

Dual‐core steered non‐rigid registration for multi‐modal images via bi‐directional image synthesis

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2017, Medical Image Anal..

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, MLMI@MICCAI.

Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2015, MCV@MICCAI.

Learning‐based deformable image registration for infant MR images in the first year of life

Yaozong Gao, Yanrong Guo, Guorong Wu, 2017, Medical physics.

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation

Li Wang, Yaozong Gao, Dinggang Shen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Yaozong Gao, Dinggang Shen, Qian Wang, 2016, Medical physics.

Learning-Based Atlas Selection for Multiple-Atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Multiatlas-Based Segmentation Editing With Interaction-Guided Patch Selection and Label Fusion

Yaozong Gao, Sang Hyun Park, Dinggang Shen, 2016, IEEE Transactions on Biomedical Engineering.

Nonlocal atlas-guided multi-channel forest learning for human brain labeling.

Yaozong Gao, Dinggang Shen, Ligang Wu, 2016, Medical physics.

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Patch-MI@MICCAI.

Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy

Yaozong Gao, Yu Zhang, Xiang Zhou, 2019, Medical Imaging.

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment

Yaozong Gao, Qian Wang, Xiaohuan Cao, 2020, MICCAI.

[Multi-scale 3D convolutional neural network-based segmentation of head and neck organs at risk].

Yaozong Gao, Qianjin Feng, Yanping Yang, 2020, Nan fang yi ke da xue xue bao = Journal of Southern Medical University.

Robust Anatomical Landmark Detection for MR Brain Image Registration

Yaozong Gao, Dinggang Shen, Dong Han, 2014, MICCAI.

Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images

Yaozong Gao, Bing Zhang, Feng Shi, 2020, Frontiers in Computational Neuroscience.

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model

Yaozong Gao, Dinggang Shen, Jun Zhang, 2015, MICCAI.

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection

Yaozong Gao, Yiqiang Zhan, Dijia Wu, 2019, MLMI@MICCAI.

Automatic parcellation of cortical surfaces using random forests

Yaozong Gao, Dinggang Shen, Yu Meng, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2014, MLMI.

Prostate Segmentation by Sparse Representation Based Classification

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization

Yinghuan Shi, Shu Liao, Yaozong Gao, 2013, IPMI.

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2016, MLMI@MICCAI.

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2015, NeuroImage.

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2015, MCV@MICCAI.

Segmentation of neonatal brain MR images using patch-driven level sets

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression

Yaozong Gao, Dinggang Shen, Bai Ying Lei, 2016, MICCAI.

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy

Yaozong Gao, Dinggang Shen, Jianhua Yang, 2016, MICCAI.

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2017, IEEE Journal of Biomedical and Health Informatics.

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, Medical Image Anal..

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2015, MICCAI.

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression

Yaozong Gao, Dinggang Shen, Qian Wang, 2019, IEEE Access.

Automated segmentation of dental CBCT image with prior-guided sequential random forests.

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Medical physics.

Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2014, Medical physics.

Image-Guided Radiotherapy with Machine Learning

Yinghuan Shi, Shu Liao, Yaozong Gao, 2015 .

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Yaozong Gao, Klaus H. Maier-Hein, Yao Zhang, 2019, Medical Image Anal..

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests

Yaozong Gao, Dinggang Shen, Qian Wang, 2015, Patch-MI@MICCAI.

Soft-Split Random Forest for Anatomy Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2015, MLMI.

Segmentation of perivascular spaces in 7T MR image using auto-context model with orientation-normalized features

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, NeuroImage.

Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Dinggang Shen, Yiqiang Zhan, 2013, MICCAI.

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning

Yaozong Gao, Dinggang Shen, Xin Yang, 2014, IEEE Transactions on Medical Imaging.

Segmenting hippocampal subfields from 3T MRI with multi‐modality images

Yaozong Gao, Dinggang Shen, Feng Shi, 2018, Medical Image Anal..

Robust brain ROI segmentation by deformation regression and deformable shape model

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2018, Medical Image Anal..

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso

Yinghuan Shi, Shu Liao, Yaozong Gao, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features

Yaozong Gao, Dinggang Shen, Jun Zhang, 2016, IEEE Transactions on Biomedical Engineering.

A dynamic tree-based registration could handle possible large deformations among MR brain images

Yaozong Gao, Dinggang Shen, Guorong Wu, 2016, Comput. Medical Imaging Graph..

Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning

Yaozong Gao, Wufan Chen, Lifang Wei, 2018, IEEE Transactions on Image Processing.

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images

Yaozong Gao, Yanbo Chen, Lichi Zhang, 2020, TIA@MICCAI.

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis

Yaozong Gao, Qian Wang, Jianhua Yang, 2018, IEEE Transactions on Image Processing.

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

Yaozong Gao, Qi Yang, Xiaohuan Cao, 2020, IEEE Transactions on Medical Imaging.

MR prostate segmentation via distributed discriminative dictionary (DDD) learning

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2016, MICCAI.

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression

Yaozong Gao, Dinggang Shen, Xin Yang, 2015, MCV@MICCAI.

A transversal approach for patch-based label fusion via matrix completion

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2015, Medical Image Anal..

Multi-atlas Context Forests for Knee MR Image Segmentation

Yaozong Gao, Dinggang Shen, Qian Wang, 2015, MLMI.

Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation

Yaozong Gao, Dinggang Shen, Yi Ren, 2014, MICCAI.

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, MLMI@MICCAI.

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images

Yaozong Gao, Dinggang Shen, Qian Wang, 2017, Neurocomputing.

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Yaozong Gao, Li Wang, Dong Nie, 2018, MICCAI.

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

Yaozong Gao, Dijia Wu, Dinggang Shen, 2020, IEEE Journal of Biomedical and Health Informatics.

Prostate Segmentation by Sparse Representation Based Classification

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

In vivo MRI based prostate cancer localization with random forests and auto-context model

Yaozong Gao, Dinggang Shen, Li Wang, 2016, Comput. Medical Imaging Graph..

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks

Yaozong Gao, Dinggang Shen, Jianping Yin, 2018, MICCAI.

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Multimodal Brain Tumor Segmentation Using Cascaded V-Nets

Yaozong Gao, Yu Sun, Feng Shi, 2018, BrainLes@MICCAI.

Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification

Yaozong Gao, Dinggang Shen, Feng Shi, 2021, Physics in medicine and biology.

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation

Yaozong Gao, Dinggang Shen, Feng Shi, 2021, IEEE Transactions on Medical Imaging.

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans

Yaozong Gao, Dinggang Shen, Xiaohuan Cao, 2021, Comput. Medical Imaging Graph..

A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data

Yaozong Gao, Aie Liu, Yanbo Chen, 2021, Comput. Medical Imaging Graph..

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Yaozong Gao, Klaus H. Maier-Hein, Nikolaos Papanikolopoulos, 2019, Medical Image Anal..

Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?

Yaozong Gao, Dinggang Shen, Islem Rekik, 2017, Human brain mapping.

Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images.

Yaozong Gao, Dinggang Shen, Xiubin Dai, 2015, Medical physics.

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Dinggang Shen, Yiqiang Zhan, 2014, IEEE Transactions on Medical Imaging.

Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images.

Yaozong Gao, Dinggang Shen, Feng Shi, 2015, Medical physics.