About me
I am currently engaged in scientific research in Regina Beets-Tan’s group in the Radiology Department of the Netherlands Cancer Institute, and Ritse Mann’s Breast Imaging Group (BIG) in RadboudUMC. In 2023, under the leadership of Ritse Mann, I participated in the ODELIA and SAFE-MRI projects as a postdoctoral researcher.
Research Interests
My research focuses on medical image analysis and natural language processing, with a particular emphasis on multimodal AI model development and its integration into clinical workflows.
Selected Book(s)
- Tianyu Zhang, Oliver Lester Saldanha, Luyi Han, Nika Rasoolzadeh, Lidia Garrucho, Jarek M. van Dijk, Tao Tan, Jakob Nikolas Kather, Ritse Mann. Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care. Springer Nature, 2025
Selected Publications
(†, co-first authors; *, Corresponding author)
- Chunyao Lu†, Tianyu Zhang†, Xinglong Liang, Yuan Gao, Luyi Han, Xin Wang, Nika Rasoolzadeh, Tao Tan, Ritse Mann. LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence. AAAI, 2025.
- Tianyu Zhang, Xinglong Liang, Ritse Mann. Multimodal artificial intelligence in breast cancer: towards integrated prediction and personalized care. European Radiology, 2025.
- Luyi Han†, Tianyu Zhang†, Anna D’Angelo, Anna van der Voort, Katja Pinker-Domenig, Marleen Kok, Gabe Sonke, Yuan Gao, Xin Wang, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Tao Tan, and Ritse Mann. Personalized Neoadjuvant Therapy Recommendations in Breast Cancer from an Explainable Multi-Omics Response Model. eClinicalMedicine, 2025.
- Simone Schiaffino†, Tianyu Zhang†, Ritse M Mann, Katja Pinker. The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future. Journal of Magnetic Resonance Imaging, 2025.
- Nika Rasoolzadeh, Tianyu Zhang*, Yuan Gao, Jarek van Dijk, Qiuhui Yang, Tao Tan, Ritse Mann. Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model. MICCAI, 2024.
- Jarek van Dijk, Luyi Han, Luuk Balkenende, Nika Rasoolzadeh, Karine R. Morche, Tianyu Zhang*, Ritse Mann. One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation. MICCAI, 2024.
- Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D’Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann. IMPORTANT-Net: integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Information Fusion, 2024, 108, 102381.
- Tianyu Zhang, Ritse Mann. Contrast-enhanced Mammography: Better with AI? European Radiology, 2024, 34, 914–916.
- Tianyu Zhang, Tao Tan, Xin Wang, Yuan Gao, Luyi Han, Luuk Balkenende, Anna D’Angelo, Lingyun Bao, Hugo M. Horlings, Jonas Teuwen, Regina G. H. Beets-Tan, Ritse M. Mann. RadioLOGIC: A healthcare model for processing electronic health records and decision-making in breast disease. Cell Reports Medicine, 2023, 4(8).
- Tianyu Zhang, Tao Tan, Luyi Han, Linda Appelman, Jeroen Veltman, Ronni Wessels, Katya Duvivier, Claudette Loo, Yuan Gao, Xin Wang, Hugo Horlings, Regina Beets-Tan, Ritse Mann. Predicting breast cancer types on and beyond molecular level in a multi-modal fashion. NPJ Breast Cancer, 2023, 9(1): 16.
- Tianyu Zhang, Luyi Han, Anna D’Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann. Synthesis of contrast-enhanced breast MRI using multi-b-value DWI-based multi-sequence fusion network. MICCAI, 2023, 79-88.
- Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann. Radiomics and Artificial Intelligence in Breast Imaging: A Survey. Artificial Intelligence Review, 2023, 1-36.
More publications see my GoogleScholar
Members
- Associate Member of the European Society of Radiology (ESR)
- Member of the AI Validation Group of the Radiological Society of North America (RSNA)
- Member of the European Association for Cancer Research (EACR)
- Member of the Medical Imaging with Deep Learning (MIDL)
- Member of the European Society of Breast Imaging (EUSOBI)
- Member of the Medical Image Computing and Computer Assisted Intervention (MICCAI)
- Member of the Institute of Electrical and Electronics Engineers (IEEE)
- Member of the Association for the Advancement of Artificial Intelligence (AAAI)
Editors
- Trainee Editorial Board (2025-present) @ Radiology: Artificial Intelligence (IF = 13.2)
- Scientific Editorial Board (2026) @ European Radiology Experimental (IF = 3.8)
- Editor (2024-present) @ MICCAI, Deep-Breath series