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

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
Feb 24, 2025 | My paper AI-based association analysis for medical imaging using latent-space geometric confounder correction is accepted in Medical Image Analysis! |
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Oct 15, 2024 | I am invited to give a lecture at the AI genomics workshop of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) conference 2024, in Rotterdam! |
Jun 1, 2024 | I delivered a poster presentation of my work of AI facial genetics in European Human Genetics Conference (ESHG) 2024 in Berlin! |
Mar 4, 2024 | My paper Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study is accepted by Lancet’s eClinicalMedicine! |
Nov 24, 2023 | My co-first author paper Automated three-dimensional analysis of facial asymmetry in patients with syndromic coronal synostosis: a retrospective study is accepted by Journal of Cranio-Maxillofacial Surgery. |
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 studyeClinicalMedicine, 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 AnalysisLecture Notes in Computer Science, Sep 2021