Xianjing Liu
Machine Learning; Computer Vision; Population studies; Genetics; Epidemiology;

Updates: Since November 2023 I started to work as a postdoc, which focuses more on the analysis of brain MRI, genomic and proteomic data.
I am currently doing my PhD at the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus MC under the supervision of Prof. Wiro J. Niessen, Prof. Eppo B. Wolvius, and Dr. Gennady V. Roshchupkin. Earlier, I’ve completed my Bachelors and Masters from Shenzhen University, and gained industrial experience as a R&D engineer at Shenzhen Wisonic Co., Ltd. and a computer vision researcher at Hong Kong Polytechnic University in collaboration with Esquel Group.
I mainly work on the interpretability and confounding problems in deep learning, with applications in population-based genetic and epidemiological studies, by using multimodal data sets (e.g., 2D/3D facial images, brain MRI, genomic data) from the Generation R Study and the Rotterdam Study. I significantly contributed to the craniofacial shape analysis
I have extensive collaborations. For internal collaborations within Erasmus MC, I work closely with Manfred Kayser from department of genetic identification, and Marlies Wakkee from department of dermatology. For external collaborations, I work closely with the school of public health of Harvard University, the school of public health and primary care of Chinese University of Hong Kong, and the school of design of Hong Kong Polytechnic University. Please find my publication list for the research output from these collaborations.
I am also active in educational activities. I have supervised 6 master students from Technical University of Delft (TUD) for 9-month thesis or 10-week internship. Feel free to contact me to explore opportunities!
news
Jun 11, 2025 | An Abstract was accepted by 3rd International Symposium on Facial Genetics. I will give an oral presentation about my work of facial genetics in Leuven June 11-13. |
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May 14, 2025 | After 1.5 years as a postdoc, I’ve officially defended my PhD! |
Apr 29, 2025 | My co-first author paper Facial asymmetry in patients with syndromic craniosynostosis undergoing midface surgery compared to a large healthy population of 1000 children of Generation R study is accepted by Journal of Cranio-Maxillofacial Surgery. |
Apr 15, 2025 | I’m grateful for the opportunity to present my skin cancer project at SkinVision B.V.. It was a great experience to share insights and discuss potential applications with an engaged and knowledgeable audience. |
Feb 24, 2025 | My paper AI-based association analysis for medical imaging using latent-space geometric confounder correction is accepted in Medical Image Analysis! |
selected publications
2025
- MedIAAI-based association analysis for medical imaging using latent-space geometric confounder correctionMedical Image Analysis, Feb 2025
2024
- eclinmPredicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach. A proof-of-concept studyLancet’s eClinicalMedicine, Mar 2024
2023
- humrepAssociation between prenatal alcohol exposure and children’s facial shape. A prospective population-based cohort studyHuman Reproduction, Feb 2023
- jcmsAutomated three-dimensional analysis of facial asymmetry in patients with syndromic coronal craniosynostosis, a retrospective studyJournal of Cranio-Maxillofacial Surgery, Nov 2023
2021
- miccai 2021Projection-Wise Disentangling for Fair and Interpretable Representation Learning. Application to 3D Facial Shape AnalysisIn:Medical Image Computing and Computer Assisted Intervention – MICCAI, Sep 2021