Rongchang Zhao
Scholar

Rongchang Zhao

Google Scholar ID: CFDPG7sAAAAJ
Central South University
ophthalmology medical image analysiscomputer visionmachine learning
Citations & Impact
All-time
Citations
1,094
 
H-index
19
 
i10-index
23
 
Publications
20
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Appointed Associate Editor of the journal 'Computerized Medical Imaging and Graphics' (CMIG) in 2024.
  • Serving as Area Chair (AC) for MICCAI 2024.
  • Served as Senior Program Committee (SPC) Member for AAAI 2022.
  • Served as Program Committee (PC) Member for AAAI 2020.
  • Multiple papers accepted by top-tier journals and conferences, including:
  • - Medical Image Analysis (MedIA, IF=8.88)
  • - npj Parkinson's Disease (IF=8.651)
  • - IEEE Journal of Biomedical and Health Informatics (JBHI)
  • - CNS Neuroscience & Therapeutics
  • - Neurocomputing (JCR Q1, IF=4.072)
  • - Archives of Computational Methods in Engineering (JCR Q1, IF=7.242)
  • - BMC Bioinformatics (JCR Q1, IF=2.511)
  • - ECCV 2020 (two papers)
  • - BIBM (two papers in 2023)
  • - Paper 'MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction' accepted by MedIA (2024)
Background
  • Currently an Associate Professor and Ph.D./Master Supervisor at the School of Computer Science, Central South University.
  • Research interests include Medical Image Analysis, Artificial Intelligence, Deep Learning, and Computer Vision.
  • Focuses on interdisciplinary research in medical image analysis, computer vision, and AI to improve lesion detection, anatomical structure segmentation and quantification, computer-aided diagnosis, and 3D reconstruction—particularly in ophthalmic diseases.
  • Recently devoted to evidence-based diagnosis and interpretable deep learning models for medical image analysis using tools such as OOD, TTA, and causal reasoning.
  • Also focuses on weakly-supervised learning architectures in medical imaging.