Personal profile
Personal profile
Dr. Xiaowu Sun is an Assistant Professor at the school of AIAC, XJTLU. Xiaowu received his PhD in 2023 from Leiden University Medical Center, the Netherlands. His research focuses on artificial intelligence for medical imaging, with particular emphasis on coronary angiography and cardiac MRI. More recently, he has been especially interested in applying graph neural networks and foundation models to clinical applications, and some of his work has been translated into the commercial software MASS.
Before joining XJTLU, he was a Postdoctoral Fellow at the EPFL AI Center in Lausanne, Switzerland. He is also the recipient of a SWISS AI grant as Principal Investigator, focusing on foundation model research. Outside of his academic work, he enjoys volleyball. He achieved 7th place with his team at the Beijing Universities Volleyball League and played for the SKC club in Leiden, the Netherlands, for four seasons in a competitive amateur league.
Experience
2025.08 - Assistant Professor, XJTLU
2023.03 - 2025.08 Postdoctoral Fellow, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
2017.08 - 2018.08 Algorithm Engineer, Rokid
Awards and honours
- National Scholarship × 2
- Outstanding undergraduates of LiaoNing Province
- Undergraduate Mathematical Contest in Modeling (CUMCM):
- National Second prize × 2;
- Liaoning Province First Prize × 2;
- Liaoning Province Second Prize × 1
- Mathematics Contest (Professional Division) of DaLian Municipality
- First Prize × 2 (Ranking 3rd, 9th place, resp.)
- MICCAI challenge
- 3rd place in the M&Ms-2 challenge
- 4th place in the CMRxMotion challenge
- MICCAI Travel award
- 2025 Gerald Pohost Award finalists
Related documents
Education/Academic qualification
PhD, Leiden University
3 Sept 2018 → 1 Mar 2023
Award Date: 5 Jul 2023
Research areas
- Cardiovascular Imaging
- Deep Learning
- Graph Neural Networks
- Physics-informed Network
- Foundation Models
Person Types
- Staff
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Explainable interpretation of chest X-rays by leveraging vision foundation models
Sun, X. (PI)
1/01/26 → 31/12/28
Project: Internal Research Project
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Medical Vision Foundation Model for Coronary Artery Analysis
Sun, X. (PI), Frossard, P. (Team member), Abbé, E. (Team member) & Thanou, D. (Team member)
Project: Other
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Mean pulmonary artery pressure prediction with explainable multi-view cardiovascular magnetic resonance cine series deep learning model
the ASPIRE Consortium & Sun, X., 1 Jun 2025, In: Journal of Cardiovascular Magnetic Resonance. 27, 1, 101133.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
Salihu, A., Meier, D., Noirclerc, N., Skalidis, I., Mauler-Wittwer, S., Recordon, F., Kirsch, M., Roguelov, C., Berger, A., Sun, X., Abbe, E., Marcucci, C., Rancati, V., Rosner, L., Scala, E., Rotzinger, D. C., Humbert, M., Muller, O., Lu, H. & Fournier, S., 15 Apr 2024, In: EuroIntervention. 20, 8, p. E496-E503Research output: Contribution to journal › Article › peer-review
20 Citations (Scopus) -
Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI
Sun, X., Cheng, L. H., Plein, S., Garg, P. & van der Geest, R. J., 1 Jun 2024, In: Journal of Cardiovascular Magnetic Resonance. 26, 1, 100003.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus) -
Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography
Sun, X., Belmpas, T., Senouf, O., Abbe, E., Frossard, P., De Bruyne, B., Muller, O., Fournier, S., Mahendiran, T. & Thanou, D., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus) -
Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging
Sun, X., Cheng, L. H., Plein, S., Garg, P., Moghari, M. H. & van der Geest, R. J., May 2023, In: International Journal of Cardiovascular Imaging. 39, 5, p. 1045-1053 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)