👋 About
I am a PhD candidate in artificial intelligence for breast cancer research, working with Prof. Dr. Regina Beets-Tan, Dr. Ritse Mann, and Dr. Tao Tan as part of the Breast Imaging Group (BIG) at the Netherlands Cancer Institute (NKI).
I have recently started the Postdoc position, under Dr. Jonas Teuwen’s AI for Oncology Lab at NKI, continuing my research on the AI for breast cancer.
My research focuses on AI for breast cancer early diagnosis and future risk prediction to optimize the breast cancer screening program.
📣 News
📚 Publications
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
Wang, X., Tan, T., Gao, Y., et al. MICCAI 2024
🎤 Oral Presentation · 🏆 Young Scientist Award
Predicting Up to 10-Year Breast Cancer Risk Using Longitudinal Mammographic Screening History
Wang, X., Tan, T., Gao, Y., et al. medRxiv, 2023
Disasymnet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-Adversarial Learning
Wang, X., Tan, T., Gao, Y., et al. MICCAI 2023
2.75 D: Boosting Learning by Representing 3D Medical Imaging to 2D Features for Small Data
Wang, X.*, Su, R.*, Xie, W., et al. Biomedical Signal Processing and Control, 2023
Artificial Intelligence in Breast Imaging
Wang, X., Moriakov, N., Gao, Y., et al. Breast Imaging: Diagnosis and Intervention, 2022
You can also find more publications on Google Scholar.
🎓 Education
PhD, Artificial Intelligence in Medical Imaging - Maastricht University
Nov, 2020 – PresentMSc, Computer Software Engineering - Taiyuan University of Technology
Jul, 2017 – Jun, 2020BSc, Computer Software Engineering - Taiyuan University of Technology
Aug, 2013 – Jun, 2017
💼 Experience
Postdoctoral Fellow, The Netherlands Cancer Institute
May, 2024 – PresentScientific researcher, The Netherlands Cancer Institute
Nov, 2020 – May, 2024
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