CV
Current Position
Postdoctoral Fellow, The Netherlands Cancer Institute
May, 2024 - Present
Scientific researcher, The Netherlands Cancer Institute
Nov, 2020 - May, 2024
Education
PhD, Artificial Intelligence in Medical Imaging, Maastricht University
Nov, 2020 - Present
MSc, Computer Software Engineering, Taiyuan University of Technology
Jul, 2017 - Jun, 2020
BSc, Computer Software Engineering, Taiyuan University of Technology
Aug, 2013 - Jun, 2017
Research Focus
- AI for breast imaging
- Early breast cancer detection
- Future breast cancer risk prediction from longitudinal mammographic histories
- Deep learning for mammography and clinical breast imaging tasks
Achievements
- Kaggle 1st Place, SPR Screening Mammography Recall challenge, May 2025
- Young Scientist Award, MICCAI 2024
Selected Publications
Wang, Xin, et al. "Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms." *Medical Image Analysis*, p. 103990, 2026.
Wang, Xin, et al. "Mammo-AGE: deep learning estimation of breast age from mammograms." *Nature Communications*, vol. 16, no. 1, p. 10934, 2025.
Wang, Xin, et al. "Predicting short-to long-term breast cancer risk from longitudinal mammographic screening history." *npj Breast Cancer*, vol. 11, no. 1, p. 118, 2025.
Wang, Xin, et al. "Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms." *MICCAI 2024*, pp. 155–165. Springer.
Wang, Xin, et al. "Disasymnet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-Adversarial Learning." *MICCAI 2023*, pp. 57–67. Springer.
Wang, Xin, et al. "2.75 D: Boosting Learning by Representing 3D Medical Imaging to 2D Features for Small Data." *Biomedical Signal Processing and Control*, vol. 84, 2023, p. 104858. Elsevier.
Wang, Xin, et al. "Artificial Intelligence in Breast Imaging." *Breast Imaging: Diagnosis and Intervention*, Springer, 2022, pp. 435–453.
Academic Service
- MICCAI 2024, 2025
- MICCAI Workshop: Deep-Brea3th 2024
- Computational and Structural Biotechnology Journal
- Medical Physics
- BMC Cancer
- Scientific Data
- npj Digital Medicine
- Archives of Computational Methods in Engineering
- Artificial Intelligence Review
- AI Validation Group of the RSNA challenges: Lumbar Spine Degenerative Classification AI Challenge (2024), Abdominal Trauma Detection AI Challenge (2023), Screening Mammography Breast Cancer Detection AI Challenge (2023)