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Short Bio

I am now an Associate Professor and Ph.D./Master Supervisor at the School of Computer Science, at Central South University. Before that, I received my Ph.D. and bachelor's degrees from the Department of Electronic Information Science and Technology, Lanzhou University, China, in 2006 and 2011, respectively, with Prof. Yide Ma. I achieved a postdoc position at the School of Information Science and Engineering, with Prof. Min Wu, in 2015. Currently, I work at Central South University as an associate professor, as well as work in Digital Imaging Group of London, Dept. of Medical Biophysics, University of Western Ontario, Canada as a postdoc.

Learn more about me, please check my CV.

Research Interests

Medical Image Analysis, Artificial Intelligence, Deep Learning, Computer Vision.

I focus on interdisciplinary research in medical image analysis, computer vision, and artificial intelligence, for improving lesion detection, anatomical structure segmentation and quantification, computer-aided diagnosis, and 3D reconstruction, especially ophthalmic disease-related works.

Recently, I have devoted myself to investigating the evidence-based diagnosis and interpretative deep learning model for medical image analysis, with the advantages of tools such as OOD, TTA, causal reasoning, and so on. In addition, I also focus on weakly-supervised learning architecture in medical images.

Upcoming Events

  • I am honored to be invited to join the editorial board of the "Computerized Medical Imaging and Graphics" (CMIG) journal as Associate Editor.
  • I will serve as an Area Chair (ACs) for MICCAI 2024.
  • I will serve as a Senior Program Committee (SPC) Member in AAAI 2022.
  • I serve as a PC member for AAAI'20.
  • I will participate in MICCAI 19 from October 13th to 17th, 2019 in Shenzhen, China.
  • I'm going to visit Western University as a visiting professor.
  • I'm looking for visiting students and future graduate students. .

News

  • [02/2024] ~NEW It's my great honor to be invited to join the editorial board of the "Computerized Medical Imaging and Graphics" (CMIG) journal as Associate Editor, as well as Area Chair (ACs) in MICCAI 2024.
  • [01/2024] ~NEW It's a good beginning of new year for two good news: our new paper entitled "MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction" has been accepted by MedIA with minor revision, and the author has got his offer from HUAWEI！Congrats!
  • [12/2023] Two papers have been accepted by the BIBM.
  • [12/2023] One paper entitled "Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion" is accepted by the JBHI.
  • [08/2022] One paper entitled "Machine Learning Based on Optical Coherence Tomography Images as a diagnostic tool for Alzheimer’s Disease" is accepted by the CNS Neuroscience & Therapeutics.
  • [04/2022] One paper focused on early diagnostic indicators for PD has been accepted by npj Parkinson's Disease, which is the top journal in NEUROSCIENCES with IF=8.651! Cong. Prof.Shen, Ph.D Wang and Jia!
  • [10/2021] One paper focused on data imbalance has got acceptance by MedIA!
  • [07/2020] Two papers have been accepted by ECCV2020! GREAT JOBS!
  • [02/2020] One paper has been accepted by the journal Neurocomputing (JCR Rank 1, IF = 4.072). Congratulation Zhiyou.
  • [12/2019] One paper has been accepted by the journal Archives of Computational Methods in Engineering (JCR Rank 1, IF = 7.242).
  • [11/2019] One paper has been accepted by the journal BMC Bioinformatics (JCR Rank 1, IF = 2.511).
  • [10/2019] One paper has been accepted by the top journal Medical Image Analysis (MedIA, IF = 8.88).
  • [08/2019] I serve as a PC member for AAAI'20.
  • [08/2019] Two papers have been accepted by the top journal IEEE J-BHI (Impact Factor: 4.217)
  • [06/2019] One paper entitled "Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning" has been accepted by MICCAI-19 .
  • [04/2019] Welcome three new students to join our research group.
  • [04/2019] We are looking for Master students who are interested in working in the field of medical image analysis or general machine vision.
  • [01/2019] One paper entitled "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis" has been accepted by AAAI-19 as ORAL.

Selected Publications

For a complete list, please check my google scholar.

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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. [paper] [Download]
Biomedical Signal Processing and Control, 2024. (JCR Q1 with Impact Factor: 4.9)

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MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction.
Rongchang Zhao, Zijun Xi, Huanchi Liu, Xiangkun Jian, Jian Zhang, Zijian Zhang, Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2024. (Top journal on Medical image analysis with Impact Factor: 10.9)

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The macular inner plexiform layer thickness as an early diagnostic indicator for Parkinson’s disease.
Xin Wang, et.al., Rongchang Zhao , Lu Shen. [paper] [Download]
npj Parkinson's Disease, 2022. (Top journal on NEUROSCIENCES with Impact Factor: 8.651)

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Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning.
Rongchang Zhao , Xuanlin Chen, Zailiang Chen, Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2021. (Top journal on Medical image analysis with Impact Factor: 8.54)

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EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis.
Rongchang Zhao , Xuanlin Chen, Zailiang Chen, Shuo Li. [paper] [Download]
ECCV, 2020. (CCF B)

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Improving Knowledge Distillation via Category Structure.
Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao [paper] [Download]
ECCV, 2020. (CCF B)

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Non-rigid retinal image registration using an unsupervised structure-driven regression network.
Beiji Zou, Zhiyou He, Rongchang Zhao* , Chengzhang Zhu, Wangmin Liao, and Shou Li. DOI: 10.1016/j.neucom.2020.04.122 [paper] [Download]
Neurocomputing, 2020. (Impact Factor: 4.072)

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A Survey of Dictionary Learning in Medical Image Analysis and Its Application for Glaucoma Diagnosis.
Rongchang Zhao* , Hong Li, and Xiyao Liu. DOI: 10.1007/s11831-019-09383-3 [paper] [Download]
Archives of Computational Methods in Engineering, 2019. (Impact Factor: 7.242)

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A novel glaucomatous representation method based on Radon and wavelet transform.
Beiji Zou, Changlong Chen, Rongchang Zhao* , Pingbo Ouyang, Chengzhang Zhu, Qilin Chen, and Xuanchu Duan. DOI: 10.1186/s12859-019-3267-6 [paper]
[Download]
BMC Bioinformatics, 2019. (Impact Factor: 2.511)

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Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning.
Rongchang Zhao* , and Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2020. (Top journal on Medical image analysis with Impact Factor: 11.148)

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Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis.
WangMin Liao, BeiJi Zou, Rongchang Zhao* , YuanQiong Chen, ZhiYou He, and MengJie Zhou. [paper] [Download]
IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2019. (Top journal on Medical image analysis with Impact Factor: 4.217)

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Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning.
Rongchang Zhao , Xuanlin Chen, Xiyao Liu, Zailiang Chen, Fan Guo and Shuo Li. [paper]
IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2019. (Top journal on Medical image analysis with Impact Factor: 4.217)

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Multi-index Optic Disc Quantification via MultiTask Ensemble Learning.
Rongchang Zhao , Zailiang Chen, Xiyao Liu, Beiji Zou, and Shuo Li. [paper] [Download]
The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Top conference on Medical image analysis)

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Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis.
Rongchang Zhao , Wangmin Liao, Beiji Zou, Zailiang Chen and Shuo Li. [paper] [Download]
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral, Acceptance rate: ~7.14%)

Orientation histogram-based center-surround interaction: an integration approach for contour detection.
Rongchang Zhao , Min Wu, Xiyao Liu, Beiji Zou and Fangfang Li. [paper]
Neural Computation, 2017.

A region segmentation method for region-oriented image compression.
Rongchang Zhao and Yide Ma. [paper]
NeuroComputing, 2012.

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.
Chengzhang Zhu, Beiji Zou, Rongchang Zhao , Jinkai Cui, Xuanchu Duan, Zailiang Chen, Yixiong Liang. [paper]
Computerized Medical Imaging and Graphics, 2017.

Novel robust zero-watermarking scheme for digital rights management of 3D videos.
Xiyao Liu, Rongchang Zhao* , Fangfang Li, Shenghui Liao, Yipeng Ding and Beiji Zou. [paper]
Signal processing: Image communication, 2017.

Retinal vessel optical coherence tomography images for anemia screening.
Zailiang Chen, Yufang Mo, Pingbo Ouyang, Hailan Shen, Dabao Li and Rongchang Zhao . [paper]
Medical & biological engineering & computing, 2018.

Chinese micro-blog sentiment classification through a novel hybrid learning model.
Fangfang Li, Huanting Wang, Rongchang Zhao* , Xiyao Liu, Yanzhen Wang and Beiji Zou. [paper]
Journal of Central South University, 2017.

Optic cup segmentation using large pixel patch based CNNs.
Yundi Guo, Beiji Zou, Zailiang Chen, Qi He, Qing Liu and Rongchang Zhao . [paper]
Ophthalmic Medical Image Analysis (OMIA) workshop of MICCAI, 2016.

Automatic anterior lamina cribrosa surface depth measurement based on active contour and energy constraint.
Zailiang Chen, Peng Peng, Beiji Zou, Hailan Shen, Hao Wei and Rongchang Zhao . [paper]
Journal of Computer Science and Technology, 2017.

Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm.
Fan Guo, Hui Peng, Beiji Zou, Rongchang Zhao and Xiyao Liu. [paper]
IET Image Processing, 2018.

Talks

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis, at AAAI oral

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis, at ECCV oral

Press Coverage

Professional Activities

Membership of IEEE, CCF.

Conference Services:

PC Member of AAAI'19-21; Reviewer of CVPR'21, ICLR'21, ICML'20-21, NeurIPS'19-20, MICCAI'18-21

Journal Reviews:

Medical Image Analysis
IEEE Transactions on Medical Imaging
IEEE Transactions on Image Processing
IEEE Transactions on Biomedical Engineering
IEEE Journal of Biomedical and Health Informatics
Neurocomputing
Computerized Medical Imaging and Graphics

MOTTO

  • "The academic is not an army race. It does not really matter how fancy the model is. It does not really matter whether the model can achieve stoa performance. The real innovation is to find something new and this work has found a fresh new perspective." ——Anonymous Reviewer

  • " When nothing seems to help, I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it. Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it -- but all that had gone before." ——Jacob Riis

    • Last updated date: Nov 2019.

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