赵荣昌｜中南大学｜学者主页

2026

Align-then-Aggregate: Pretreatment prediction of radiation-induced lymphopenia in nasopharyngeal carcinoma via multi-modal collaborative learning

Rongchang Zhao, Hengzhang Deng, Zhangyue Wu, Zijian Zhang

Biomedical Signal Processing and Control

DOI

2026

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

Rongchang Zhao, Hengzhang Deng, Shuo Li

Lecture notes in computer science

DOI

2026

AI-based prediction of pulmonary hypertension in COPD patients with cor pulmonale using clinical and CT features

Xiaohui Tan, Mian Luo, Rui Ma, Huanchi Liu, Lihua Xie, Rongchang Zhao

Frontiers in Medicine

DOI

2025

CFTA: Class-Wise Fair Test-Time Adaptation of Biased Models for Long-Tailed Recognition

Rongchang Zhao, Xiangkun Jian, Jian Zhang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation

Rongchang Zhao, Huanchi Liu, Jian Zhang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

CSDFusion: Continuous knowledge trajectories for task-driven infrared and visible image fusion

Xianshuai Li, Zhaoze Gao, Shuqing Liang, Jian Zhang, Rongchang Zhao, Xiyao Liu

Knowledge-Based Systems

DOI

2025

Multi-organ medical image segmentation via adaptive disentangled domain generalization collaborative learning

Min Dong, Yishuang Liu, Ating Yang, Ye Zhang, Rongchang Zhao, Ling Liu

Neurocomputing

DOI

2025

Generating synthesized computed tomography from CBCT using a Context Feature Mixing Network

Min Yuan, Wentao Gu, Yufei Xie, Rongchang Zhao, Jun Li, Nanjie Zhaxi

China Automation Congress (CAC)

DOI

2025

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

Rongchang Zhao, Zhangyue Wu, Jian Zhang, Zijian Zhang, Shuo Li

Lecture notes in computer science

DOI

2025

AIDC: Benchmark for Analytical Learning in Incremental Disease Classification

Rongchang Zhao, Jianyu Qi, Rui Li, Zhijie Zheng, Jian Zhang, Jiaxu Li

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection

Yifei Peng, Ze Tao, Jian Zhang, Rongchang Zhao, Chao Liu, Hui Sun

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2024

Generating synthesized computed tomography from CBCT/LDCT using a novel Generative-Transformer Adversarial-CNN

Min Yuan, Yufei Xie, Rongchang Zhao, Ningning Lv, Zijian Zhang, Liye Zhu, Xiaolin Wu

Biomedical Signal Processing and Control

DOI

2024

MIST: Multi-instance selective transformer for histopathological subtype prediction

Rongchang Zhao, Zijun Xi, Huanchi Liu, Xiangkun Jian, Jian Xin Zhang, Zijian Zhang, Shuo Li

Medical Image Analysis

DOI

2024

Uncertainty-aware consistency learning for semi-supervised medical image segmentation

Min Dong, Ating Yang, Zhenhang Wang, Dezhen Li, Jing Bing Yang, Rongchang Zhao

Knowledge-Based Systems

DOI

2024

HFGS: High-Frequency Information Guided Net for Multi-Regions Pseudo-CT Synthesis

Rongchang Zhao, Jianyu Qi, Rui Li, Teng Yang, Jiaxu Li, Jian Zhang, Zijian Zhang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

EP-Net: Automatic Artery/Vein Classification With Evidential Probability Map

Rongchang Zhao, Bo Xu, Xiaoliang Jia, Jin Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN

Bo Zhao, Ting-Ting Cheng, Xueren Zhang, Jing-Jing Wang, Hong Zhu, Rongchang Zhao, Deng-Wang Li, Zijian Zhang, Gang Yu

Comput. Medical Imaging Graph.

DOI

2023

Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion

Shanfu Lu, Xiang Xiao, Ziye Yan, Ting-Ting Cheng, Xufang Tan, Rongchang Zhao, Haijun Wu, Liang Shen, Zijian Zhang

IEEE journal of biomedical and health informatics

DOI

2023

FDCT: Fusion-Guided Dual-View Consistency Training for semi-supervised tissue segmentation on MRI

Zailiang Chen, Yazheng Hou, Hui Liu, Ziyu Ye, Rongchang Zhao, Hailan Shen

Comput. Biol. Medicine

DOI

2023

MS-EBDL: Reliable Glaucoma Assessment via Sufficient Epistemic Uncertainty

Rongchang Zhao, Rui Ma, Liang Zhou, Xiaoliang Jia, Jin Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma Diagnosis

Rongchang Zhao, Siyu Chen, Jin Liu, Jian Zhang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Zailiang Chen, Jiang Zhu, Hailan Shen, Hui Liu, Yajing Li, Rongchang Zhao, Feiyang Yu

Lecture notes in computer science

DOI

2022

Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation

Rongchang Zhao, Yufeng Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

Dual-consistency semi-supervision combined with self-supervision for vessel segmentation in retinal OCTA images.

Zailiang Chen, Yuchen Xiong, Hao Wei, Rongchang Zhao, Xuanchu Duan, Hailan Shen

Biomedical Optics Express

DOI

2022

The macular inner plexiform layer thickness as an early diagnostic indicator for Parkinson’s disease

Xin Wang, Bin Jiao, Xiaoliang Jia, Ya-qin Wang, Hui Liu, Xiangyu Zhu, Xiaoli Hao, Yuan Zhu, Bei Xu, Sizhe Zhang, Qian Xu, Junling Wang, Ji-Feng Guo, Xin-Xiang Yan, B. Tang, Rongchang Zhao, Lu Shen

npj Parkinson's Disease

DOI

2022

Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease

Xin Wang, Bin Jiao, Hui Liu, Ya-qin Wang, Xiaoli Hao, Yuan Zhu, Bei Xu, Hui-Zhuo Xu, Sizhe Zhang, Xiaoliang Jia, Qian Xu, X. Liao, Ya-Fang Zhou, Hong Jiang, Junling Wang, Ji-Feng Guo, Xin-Xiang Yan, B. Tang, Rongchang Zhao, Lu Shen

CNS Neuroscience & Therapeutics

DOI

2022

Marginal samples for knowledge distillation

Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao

Neurocomputing

DOI

2022

Retinal microaneurysm detection based on transformation splicing and multi-context ensemble learning

Jingyu Du, Bei-Ji Zou, Pingbo Ouyang, Rongchang Zhao

Biomedical Signal Processing and Control

DOI

2022

Macular Microvascular Density as a Diagnostic Biomarker for Alzheimer’s Disease

Xin Wang, Yaqin Wang, Hui Liu, Xiangyu Zhu, Xiaoli Hao, Yuan Zhu, Bei Xu, Sizhe Zhang, Xiaoliang Jia, Ling Weng, X. Liao, Ya-Fang Zhou, B. Tang, Rongchang Zhao, Bin Jiao, Lu Shen

Journal of Alzheimer's Disease

DOI

2022

A Pair-Metamorphosis-Decouple Synthetic Data Scheme for Color Fundus Image Registration

Zailiang Chen, Yuqiao Liu, Hailan Shen, Tianhao Luo, Rongchang Zhao

IEEE International Conference on Multimedia and Expo

DOI

2021

AneNet: A lightweight network for the real-time anemia screening from retinal vessel optical coherence tomography images

Hao Wei, Hailan Shen, Junhua Li, Rongchang Zhao, Zailiang Chen

DOI

2021

Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning

Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li

Medical Image Anal.

DOI

2020

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning

Rongchang Zhao, Xuanlin Chen, Xi-Yao Liu, Zailiang Chen, F. Guo, Shuo Li

IEEE journal of biomedical and health informatics

DOI

2020

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis

Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li

European Conference on Computer Vision

DOI

2020

Non-rigid retinal image registration using an unsupervised structure-driven regression network

Bei-Ji Zou, Zhiyou He, Rongchang Zhao, Cheng-Zhang Zhu, Wangmin Liao, Shuo Li

Neurocomputing

DOI

2020

Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis

Wangmin Liao, Bei-Ji Zou, Rongchang Zhao, Yuan-Qiong Chen, Zhiyou He, Mengjie Zhou

IEEE journal of biomedical and health informatics

DOI

2020

Improving Knowledge Distillation via Category Structure

Zailiang Chen, Xianxian Zheng, Hailan Shen, Zi-Yang Zeng, Yukun Zhou, Rongchang Zhao

European Conference on Computer Vision

DOI

2019

A refined equilibrium generative adversarial network for retinal vessel segmentation

Yukun Zhou, Zailiang Chen, Hailan Shen, Xianxian Zheng, Rongchang Zhao, Xuanchu Duan

Neurocomputing

DOI

2019

Multi-index Optic Disc Quantification via MultiTask Ensemble Learning

Rongchang Zhao, Zailiang Chen, Xiyao Liu, Bei-Ji Zou, S. Li

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning

Rongchang Zhao, S. Li

Medical Image Anal.

DOI

2019

A Survey of Dictionary Learning in Medical Image Analysis and Its Application for Glaucoma Diagnosis

Rongchang Zhao, Hong Li, Xiyao Liu

Archives of Computational Methods in Engineering

DOI

2019

Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion

Cheng-Zhang Zhu, Rong Hu, Bei-Ji Zou, Rongchang Zhao, Changlong Chen, Yalong Xiao

Journal of Computational Science and Technology

DOI

2019

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis

Rongchang Zhao, Wangmin Liao, Bei-Ji Zou, Zailiang Chen, S. Li

AAAI Conference on Artificial Intelligence

DOI

2019

A novel glaucomatous representation method based on Radon and wavelet transform

Bei-Ji Zou, Changlong Chen, Rongchang Zhao, Pingbo Ouyang, Cheng-Zhang Zhu, Qilin Chen, Xuanchu Duan

BMC Bioinformatics

DOI

2019

Dual-attention Focused Module for Weakly Supervised Object Localization

Yukun Zhou, Zailiang Chen, Hailan Shen, Qing Liu, Rongchang Zhao, Yixiong Liang

arXiv.org

2019

Automatic segmentation of optic disc and cup for CDR calculation

Xin Zhao, F. Guo, Bei-Ji Zou, Rongchang Zhao

Optoelectronics Letters

DOI

2018

Retinal vessel optical coherence tomography images for anemia screening

Zailiang Chen, Yufang Mo, Pingbo Ouyang, Hailan Shen, Dabao Li, Rongchang Zhao

Medical and Biological Engineering and Computing

DOI

2018

Automatic Measurement of Cup-to-Disc Ratio for Retinal Images

Xin Zhao, F. Guo, Bei-Ji Zou, Xiyao Liu, Rongchang Zhao

Chinese Conference on Pattern Recognition and Computer Vision

DOI

2018

Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm

F. Guo, Hui Peng, Bei-Ji Zou, Rongchang Zhao, Xiyao Liu

IET Image Processing

DOI

2018

An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain

Bei-Ji Zou, Qilin Chen, Rongchang Zhao, Pingbo Ouyang, Cheng-Zhang Zhu, Xuanchu Duan

International Conference on Intelligent Computing

DOI

2017

Orientation Histogram-Based Center-Surround Interaction: An Integration Approach for Contour Detection

Rongchang Zhao, Min Wu, Xiyao Liu, Bei-Ji Zou, Fangfang Li

Neural Computation

DOI

2017

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine

Cheng-Zhang Zhu, Bei-Ji Zou, Rongchang Zhao, Jinkai Cui, Xuanchu Duan, Zailiang Chen, Yixiong Liang

Comput. Medical Imaging Graph.

DOI

2017

Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint

Zailiang Chen, Peng Peng, Bei-ji Zou, Hailan Shen, Hao Wei, Rongchang Zhao

Journal of Computational Science and Technology

DOI

2017

極端学習機械を用いたカラー眼底画像における網膜血管セグメンテーション【Powered by NICT】

Cheng-Zhang Zhu, Bei-ji Zou, Rongchang Zhao, Jinkai Cui, Xuanchu Duan, Zailiang Chen, Yi-Xiong Liang

2016

Optic Cup Segmentation Using Large Pixel Patch Based CNNs

Yun-Di Guo, Bei-Ji Zou, Zailiang Chen, Qi He, Qing Liu, Rongchang Zhao

DOI

2015

Novel region-based image compression method based on spiking cortical model

Rongchang Zhao, Yide Ma

Journal Of Systems Engineering And Electronics，Vol. 26, No. 1

DOI

2014

一种用于图像编码的区域分割新方法

赵荣昌，马义德

《电子学报》

精选作品

期刊论文

Align-then-Aggregate: Pretreatment prediction of radiation-induced lymphopenia in nasopharyngeal carcinoma via multi-modal collaborative learning

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

AI-based prediction of pulmonary hypertension in COPD patients with cor pulmonale using clinical and CT features

CFTA: Class-Wise Fair Test-Time Adaptation of Biased Models for Long-Tailed Recognition

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation

CSDFusion: Continuous knowledge trajectories for task-driven infrared and visible image fusion

Multi-organ medical image segmentation via adaptive disentangled domain generalization collaborative learning

Generating synthesized computed tomography from CBCT using a Context Feature Mixing Network

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

AIDC: Benchmark for Analytical Learning in Incremental Disease Classification

KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection

Generating synthesized computed tomography from CBCT/LDCT using a novel Generative-Transformer Adversarial-CNN

MIST: Multi-instance selective transformer for histopathological subtype prediction

Uncertainty-aware consistency learning for semi-supervised medical image segmentation

HFGS: High-Frequency Information Guided Net for Multi-Regions Pseudo-CT Synthesis

EP-Net: Automatic Artery/Vein Classification With Evidential Probability Map

CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN

Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion

FDCT: Fusion-Guided Dual-View Consistency Training for semi-supervised tissue segmentation on MRI

MS-EBDL: Reliable Glaucoma Assessment via Sufficient Epistemic Uncertainty

Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma Diagnosis

Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation

Dual-consistency semi-supervision combined with self-supervision for vessel segmentation in retinal OCTA images.

The macular inner plexiform layer thickness as an early diagnostic indicator for Parkinson’s disease

Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease

Marginal samples for knowledge distillation

Retinal microaneurysm detection based on transformation splicing and multi-context ensemble learning

Macular Microvascular Density as a Diagnostic Biomarker for Alzheimer’s Disease

A Pair-Metamorphosis-Decouple Synthetic Data Scheme for Color Fundus Image Registration

AneNet: A lightweight network for the real-time anemia screening from retinal vessel optical coherence tomography images

Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis

Non-rigid retinal image registration using an unsupervised structure-driven regression network

Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis

Improving Knowledge Distillation via Category Structure

A refined equilibrium generative adversarial network for retinal vessel segmentation

Multi-index Optic Disc Quantification via MultiTask Ensemble Learning

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning

A Survey of Dictionary Learning in Medical Image Analysis and Its Application for Glaucoma Diagnosis

Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis

A novel glaucomatous representation method based on Radon and wavelet transform

Dual-attention Focused Module for Weakly Supervised Object Localization

Automatic segmentation of optic disc and cup for CDR calculation

Retinal vessel optical coherence tomography images for anemia screening

Automatic Measurement of Cup-to-Disc Ratio for Retinal Images

Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm

An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain

Orientation Histogram-Based Center-Surround Interaction: An Integration Approach for Contour Detection

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine

Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint

極端学習機械を用いたカラー眼底画像における網膜血管セグメンテーション【Powered by NICT】

Optic Cup Segmentation Using Large Pixel Patch Based CNNs

Novel region-based image compression method based on spiking cortical model

一种用于图像编码的区域分割新方法

研究方向