Qingjie Meng

I am an Assistant Professor in the School of Computer Science at University of Birmingham. Before joining Birmingham, I was a Research Associate in Biomedical Image Analysis Group (BioMedIA), Department of Computing at Imperial College London, working with Prof. Daniel Rueckert and Prof. Declan O’Regan. I obtained my Ph.D. in computer vision for medical imaging from Department of Computing at Imperial College London, supervised by Dr. Bernhard Kainz and Prof. Daniel Rueckert. Before that, I obtained my M.S. and B.S. from Northwestern Polytechnical University, supervised by Prof. Yanning Zhang.
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Open Positions: I am looking for highly motivated PhD or Master students with passion and background on AI/machine learning for medical imaging. If you are interested to working with me, please check the details and drop me an email.

Important Updates

• [Dec 2023] One paper is accepted to IEEE Transactions on Medical Imaging.
• [Sep 2023] I join the University of Birmingham as an Assistant Professor.
• [Jun 2023] Two co-authored papers are accepted to MICCAI’2023.
• [May 2022] One paper is accepted to MICCAI’2022.
• [Jan 2022] One paper is accepted to IEEE Transactions on Medical Imaging.
• [Aug 2021] One co-authored paper is accepted to IEEE Transactions on Image Processing.
• [Nov 2020] I start work as a Reasearch Associate at Imperial College London.
• [Oct 2020] One paper is accepted to IEEE Transactions on Medical Imaging.
• [May 2020] One co-authored paper is accepted to MICCAI’2020.
• [Apr 2019] One paper is accepted to IEEE Transactions on Medical Imaging.
• [Dec 2016] I start my Ph.D. at Imperial College London.

Research Interests

I have broad interests in medical imaging analysis, computer vision and machine learning and computer vision. My current major research topics are about:

• Image registration

• Medical image analysis, e.g.,
  cardiac motion tracking,
  ultrasound image classifcaiton/segmentation.

• Representation learning, e.g.,
  representation disentanglement,
  domain adaptation.
• Learning with low supervision, e.g.,
  weakly supervised image segmentation,
  semi-supervised/unsupervised cross-domain image classification.

Contact

Email: m.qingjie@bham.ac.uk