Dr. Mingyuan Meng is a Postdoctoral Researcher at the School of Computer Science, the University of Sydney. He received a BE degree from Tsinghua University in 2018. Then, he received MPhil/PhD degrees from the University of Sydney in 2021/2025, supervised by Prof. Jinman Kim and Prof. David Dagan Feng. He also serves as a Visiting Scholar at the Institute of Translational Medicine, Shanghai Jiao Tong University, supervised by Prof. Lei Bi.

His research focus is deep learning for medical image analysis, especially in medical image dense prediction and image-based diagnosis/prognosis. His research projects involve medical image registration, segmentation, and reconstruction, as well as multi-modal image-based survival prediction and report generation.

He is actively looking for tenure-track academic positions. Please feel free to contact him for any job opportunities or research collaborations!

News

• [07/2025] Received the Outstanding PhD Thesis Award🏆 at the University of Sydney (Ranked Top 2 at the School of Computer Science).
• [06/2025] One paper is accepted by ICCV 2025.
• [02/2025] PhD degree is awarded at the University of Sydney.
• [01/2025] One paper is accepted by IEEE Transactions on Medical Imaging (TMI).
• [12/2024] One paper is accepted by Pattern Recognition (PR).
• [08/2024] One paper is accepted by npj Precision Oncology.
• [06/2024] Two papers are accepted by MICCAI 2024.
• [03/2024] Our paper titled Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration is accepted by CVPR 2024 and is nominated as Best Paper Award Candidate🏆(Top 24).
• [08/2023] One paper is accepted by European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI).
• [06/2023] Two papers are accepted by MICCAI 2023.
• [09/2022] We are Runner-up🏆 in the HECKTOR challenge at MICCAI 2022.
• [07/2022] One paper is accepted by NeuroImage.
• [06/2022] Two papers are accepted by MICCAI 2022 and IEEE Journal of Biomedical and Health Informatics (JBHI).