Professor | Liming Zhong | Asia Growth Partners

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Name	Liming Zhong
Contact Information	limingzhongmindy@gmail.com
Language ability	Chinese, English
Province	Guangdong

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Name

Liming Zhong

Contact Information

limingzhongmindy@gmail.com

Language ability

Chinese, English

Province

Guangdong

University/Lab Affiliation and Title	Southern Medical University
Faculty	Biomedical Engineering
Academic Background & Achievements	2009.09-2013.06 Bachelor: Southern Medical University, Biomedical Engineering 2014.09-2019.12 Doctorate: Southern Medical University, Biomedical Engineering
Work Experience	2020.01-2022.02 - Southern Medical University, School of Biomedical Engineering - Postdoctoral Researcher 2022.03-Present - Southern Medical University, School of Biomedical Engineering, Department of Information Technology - Teacher

University/Lab Affiliation and Title

Southern Medical University

Faculty

Biomedical Engineering

Academic Background & Achievements

2009.09-2013.06 Bachelor: Southern Medical University, Biomedical Engineering
2014.09-2019.12 Doctorate: Southern Medical University, Biomedical Engineering

Work Experience

2020.01-2022.02 - Southern Medical University, School of Biomedical Engineering - Postdoctoral Researcher
2022.03-Present - Southern Medical University, School of Biomedical Engineering, Department of Information Technology - Teacher

Areas of Focus	Medical Artificial Intelligence
Publications	View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs, Xi, Yuhua; Zhong, Liming; Xie, Weijie; Qin, Genggeng; Liu, Yunbi; Feng, Qianjin; Yang, Wei, 2021 (TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients, Zhong, Liming; Li, Tengfei; Shu, Hai; Huang, Chao; Johnson, Jason Michael; Schomer, Donald F; Liu, Ho-Ling; Feng, Qianjin; Yang, Wei; Zhu, Hongtu, 2020 Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction, Zhong, Liming; Chen, Yanlin; Zhang, Xiao; Liu, Shupeng; Wu, Yuankui; Liu, Yunbi; Lin, Liyan; Feng, Qianjin; Chen, Wufan; Yang, Wei, 2020 Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage, Zhong, Liming; Zhang, Xiao; Xi, Yuhua; Lian, Zhouyang; Feng, Qianjin; Chen, Wufan; Zhang, Shuixing; Yang, Wei, 2020 Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma, Zhang, Bin; Lian, Zhouyang; Zhong, Liming; Zhang, Xiao; Dong, Yuhao; Chen, Qiuying; Zhang, Lu; Mo, Xiaokai; Huang, Wenhui; Yang, Wei; Zhang, Shuixing, 2020 Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors, Yang, Wei; Zhong, Liming; Chen, Yang; Lin, Liyan; Lu, Zhentai; Liu, Shupeng; Wu, Yao; Feng, Qianjin; Chen, Wufan, 2018 Predict CT image from MRI data using KNN-regression with learned local descriptors, Zhong, Liming; Lin, Liyan; Lu, Zhentai; Wu, Yao; Lu, Zixiao; Huang, Meiyan; Yang, Wei; Feng, Qianjin, 2016

Areas of Focus

Medical Artificial Intelligence

Publications

View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs, Xi, Yuhua; Zhong, Liming; Xie, Weijie; Qin, Genggeng; Liu, Yunbi; Feng, Qianjin; Yang, Wei, 2021
(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients, Zhong, Liming; Li, Tengfei; Shu, Hai; Huang, Chao; Johnson, Jason Michael; Schomer, Donald F; Liu, Ho-Ling; Feng, Qianjin; Yang, Wei; Zhu, Hongtu, 2020
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction, Zhong, Liming; Chen, Yanlin; Zhang, Xiao; Liu, Shupeng; Wu, Yuankui; Liu, Yunbi; Lin, Liyan; Feng, Qianjin; Chen, Wufan; Yang, Wei, 2020
Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage, Zhong, Liming; Zhang, Xiao; Xi, Yuhua; Lian, Zhouyang; Feng, Qianjin; Chen, Wufan; Zhang, Shuixing; Yang, Wei, 2020
Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma, Zhang, Bin; Lian, Zhouyang; Zhong, Liming; Zhang, Xiao; Dong, Yuhao; Chen, Qiuying; Zhang, Lu; Mo, Xiaokai; Huang, Wenhui; Yang, Wei; Zhang, Shuixing, 2020
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors, Yang, Wei; Zhong, Liming; Chen, Yang; Lin, Liyan; Lu, Zhentai; Liu, Shupeng; Wu, Yao; Feng, Qianjin; Chen, Wufan, 2018
Predict CT image from MRI data using KNN-regression with learned local descriptors, Zhong, Liming; Lin, Liyan; Lu, Zhentai; Wu, Yao; Lu, Zixiao; Huang, Meiyan; Yang, Wei; Feng, Qianjin, 2016

Medical Imaging Artificial Intelligence Machine Learning Deep Learning Image Synthesis Multi-Task Learning Medical Robotics Healthcare Technology Biomedical Engineering Data Analysis

Jiayuan Sun - Shanghai Jiao Tong University

Jianlong Yang - Shanghai Jiao Tong University

Lichi Zhang - Shanghai Jiao Tong University

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