I’m currently a graduate student at College of Biomedical Engineering, Sichuan University, advised by Prof. Jing Zhang. Prior to that, I got my bachelor’s degree in Medical Information Engineering in 2021, followed by an M.Sc. in Biomedical Engineering in 2024. I’m now working on histopathology image guided clinical tasks. Previously, I worked with Prof. Jun Cheng about unsupervised deformable medical image registration. I was born and grown up in Chongqing, a city in the southwest China, famous as the city of mountain and frog.

My research interest includes Computational Pathology and Medical Image Analysis (Segmentation, Registration, Super Resolution)

I am deeply indebted to everyone who has supported me in my academic career.


🔥 News

Events
  • - One paper accepted by Signal Transduction and Targeted Therapy.
  • - One paper accepted by Journal of Clinical Oncology.
  • - Our work about pathology foundation model has been accepted by Nature!
  • - One paper accepted by IEEE Transactions on Medical Imaging.
  • - One paper accepted by Remote Sensing.
  • - One paper accepted by Computers in Biology and Medicine.
  • - One paper accepted by Biomedical Signal Processing and Control.
  • - 🎉🎉 I passed the exam of my doctoral program.

📝 Publications

Signal Transduction and Targeted Therapy
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Pancancer outcome prediction via a unified weakly supervised deep learning model

DOI code


W. Yuan†, Y. J. Chen†, B. Y. Zhu, S. Yang, J. Y. Zhang, N. Mao, J. X. Xiang, Y. C. Li, Y. F. Ji, X. D. Luo, K. N. Zhang, X. H. Xing, S. Kang, D. Y. Xiao, F. Wang, J. K. Wu, H. Y. Zhang, H. P. Tang, H. Maurya, G. Corredor, C. Barrera. Y. F. Zhou, K. Pandav, J. H. Zhao, P. Jain, L. Delasos, J. Z. Huang, K. L. Yang, T. N. Teknos, J. Lewis Jr., S. Koyfman, N. A. Pennell, K. H. Yu, X. Han, J. Zhang#, X. Y. Wang#, A. Madabhushi

Journal of Clinical Oncology
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Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers

DOI


X. Y. Wang†, Y. M. Jiang†, S. Yang, F. Wang, X. M. Zhang, W. Yang, Y. J. Chen, X. Y. Wu, J. X. Xiang, Y. C. Li, X. F. Jiang, W. Yuan, J. Zhang, K. H. Yu, R. L. Ward, N. Hawkins, J. Jonnagaddala, G. X. Li, R. J. Li#

Nature
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A Pathology Foundation Model for Cancer Diagnosis and Prognosis Prediction

DOI code


X. Y. Wang†, J. H. Zhao†, E. Marostica, W. Yuan, J. T. Jin, J. Y. Zhang, R. J. Li, H. P. Tang, K. R. Wang, Y. Li, F. Wang, Y. L. Peng, J. Y. Zhu, Jing Zhang, C. R. Jackson, Jun Zhang, D. Dillon, N. U. Lin, L. Sholl, T. Denize, D. Meredith, K. L. Ligon, S. Signoretti, S. Ogino, J. A. Golden, M. P. Nasrallah, X. Han, S. Yang#, K. H. Yu#

IEEE Transactions on Medical Imaging
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HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification

DOI code


D. Cai†, J. Chen†, J. H. Zhao†, Y. Xue, S. Yang, W. Yuan, M. Feng, H. Y. Weng, S. G. Liu, Y. L. Peng, J. Y. Zhu, K. R. Wang, C. Jackson, H. P. Tang#, J. Z. Huang, X. Y. Wang#

Computers in Biology and Medicine
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MACG-Net: Multi-axis Cross Gating Network for Deformable Medical Image Registration

DOI


W. Yuan, J. Cheng, Y. H. Gong, L. He#, J. Zhang

🎖 Honors and Awards

📖 Educations

  • 2024 - Ph.D student in Biomedical Engineering, Sichuan University
  • 2021 - 2024 M.Sc. in Biomedical Engineering, Sichuan University
  • 2017 - 2021 B.Eng. in Medical Information Engineering, Sichuan University

💬 Talks

  • Nov., 2022, “Textile Solid Waste Recognition with Multiple Material Features”, contributed talk at CCISP 2022. (Chengdu, China)

   

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