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, I participated in the ODELIA and SAFE-MRI projects as a researcher.

Research Interests

My research lies at the intersection of multimodal artificial intelligence and precision oncology, with a primary focus on developing robust, dynamic AI architectures for the full clinical lifecycle. Specifically, my interests encompass dynamic spatiotemporal modeling for heterogeneous clinical data (radiology, pathology, EHRs, and multi-omics), the integration of Large Vision-Language Models (VLMs/LLMs) for clinical decision support, and privacy-preserving decentralized AI (e.g., Swarm Learning) to facilitate global multi-center clinical validation and standardization.

Selected Books

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
Ritse Mann, Tianyu Zhang, Tao Tan, Luyi Han, Danial Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens. Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care. Springer Nature, 2024

Selected Publications

(†, co-first authors; *, Corresponding author)

Under Review / Preprints

Tianyu Zhang, Xinglong Liang, Nika Rasoolzadeh, Luyi Han, Chunyao Lu, Antonio Portaluri, Jarek van Dijk, Lishan Cai, Oliver Saldanha, Jiefu Zhu, Ruixiang Qi, Carla Sitges, Melissa de Bruin, Xin Wang, Yuan Gao, Zeycan Kubra Cevval, Yue Sun, Regina Beets-Tan, Jonas Teuwen, Xiang Zhang, Xiaoxiao Li, Qi Wang, Ning Mao, Jakob Nikolas Kather, Tao Tan, Ritse Mann*. End-to-end survival prediction and prognostic analysis of breast cancer using multimodal visual-language deep learning. Nature Cancer (Ready), 2026.
Tianyu Zhang, Luyi Han, Jarek van Dijk, Xinglong Liang, Antonio Portaluri, Chunyao Lu, Ruixiang Qi, Nika Rasoolzadeh, Carla sitges, Yaofei Duan, Noemi Schmidt, Miguel Braga, Xin Wang, Yuan Gao, Muzhen He, Yue Sun, Regina Beets-Tan, Jonas Teuwen, Jakob Nikolas Kather, Ning Mao, Tao Tan, Ritse Mann*. Synthesis of Contrast-Enhanced MRI. 2026.
Melissa de Bruin, Myriam Chalabi, Xinglong Liang, Milan Pijl, Geerard Beets, Tianyu Zhang*, Regina Beets-Tan. A multimodal deep learning model for recurrence prediction in stage I-III colon cancer. 2026.
Marco Cantone, Tianyu Zhang*, Claudio Marrocco, Luyi Han, Antonio Portaluri, Carla Sitges, Miguel Braga, Jarek van Dijk, Noemi Schmidt, Alessandro Bria, Ritse Mann. Deep Learning-based Vessel Segmentation and Erasure in Breast MRI for Improved Lesion Assessment. 2026.
Nika Rasoolzadeh, Tianyu Zhang*, Chunyao Lu, Antonio Portaluri, Xinglong Liang, Jarek van Dijk, Qiuhui Yang, Tao Tan, Ritse Mann. Learning Generalizable Breast MRI Representations with Multimodal Language–Image Pretraining. 2026.
Antonio Portaluri, Luyi Han, Jarek van Dijk, Xinglong Liang, Marialena Tsarouchi, Carla Sitges, Miguel Braga, Noemi Schmidt, Maria Adele Marino, Tao Tan, Tianyu Zhang*, Ritse Mann. Evaluating synthetic T2-weighted Breast MRI: a multi-reader, multi-center study. 2026.
Jarek van Dijk, Antonio Portaluri, Xinglong Liang, Luyi Han, Nika Rasoolzadeh, Tao Tan, Tianyu Zhang*, Ritse Mann. Toward Automated Breast MRI Reporting: Multi-Structure Segmentation with Quantitative Imaging Phenotyping. 2026.
Ruixiang Qi†, Tianyu Zhang†, Xinglong Liang, Chaochao Dai, Zhihui Chen, Antonio Portaluri, Chunyao Lu, Anchi Zhang, Yunxia Gu, Lei Xu, Yiting Lin, Tao Tan, Jialin Han, Lingyun Bao, Ritse Mann. Performance of Multimodal Large Language Models in Generating BI-RADS Structured Reports from Breast Ultrasound Images: A Multicenter Study. 2026.

Published / Accepted

Tianyu Zhang, Simone Schiaffino, Andrea Cozzi, Daly Avendano, Almir Bitencourt, Mengmeng Cao, Robert Gullo, Julia Herrero, Panagiotides Kapetas, Andrea Leoncini, Mami Iima, Gordana Ivanac, Nazimah Mumin, Filippo Pesapane, Antonio Portaluri, Stephanie Sauer, Dorothy Sippo, Ritse Mann, Katja Pinker-Domenig*. Benchmarking Large Language Models for Multilingual Radiology Report Interpretation and Clinical Risk Assessment. Nature Communications (In Production), 2026.
Tianyu Zhang*, Nika Rasoolzadeh, Ritse M Mann. Can multimodal AI bridge imaging and prognosis in breast cancer? European Radiology, 2026.
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, 2026.
Tianyu Zhang*, Antonio Portaluri, Ritse Mann. Reading the future: how AI rewrites mammography workflows. European Radiology, 2026.
Xinglong Liang†, Tianyu Zhang†, Miguel Braga, Luyi Han, Maarten Donswijk, Jiaju Huang, Jinhong Song, Chunyao Lu, Xin Wang, Yuan Gao, Chunyan Xiong, Yue Sun, Jun Xu, Jonas Teuwen, Wouter Vogel, Tao Tan, Ritse Mann. Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer. NPJ Precision Oncology, 2026.
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 (2025.7-present) @ Radiology: Artificial Intelligence (IF = 13.2)
Scientific Editorial Board (2026.1-present) @ European Radiology Experimental (IF = 3.8)
Editor (2024-present) @ MICCAI, Deep-Breath series

Tianyu Zhang