Tianyu Zhang
Orcid: 0000-0001-9891-6874Affiliations:
- Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands
- Netherlands Cancer Institute, Department of Radiology, Amsterdam, The Netherlands
- Maastricht University, Maastricht, The Netherlands (PhD)
  According to our database1,
  Tianyu Zhang
  authored at least 18 papers
  between 2023 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2025
Synthetizing SWI from 3T to 7T by generative diffusion network for deep medullary veins visualization.
    
  
    NeuroImage, 2025
    
  
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets.
    
  
    Comput. Medical Imaging Graph., 2025
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
    
  
  2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
    
  
    Medical Image Anal., February, 2024
    
  
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
    
  
    Inf. Fusion, 2024
    
  
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
    
  
    CoRR, 2024
    
  
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
    
  
Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model.
    
  
    Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
    
  
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
    
  
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
    
  
One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation.
    
  
    Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
    
  
  2023
    Artif. Intell. Rev., October, 2023
    
  
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
    
  
    CoRR, 2023
    
  
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
    
  
    CoRR, 2023
    
  
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
    
  
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
    
  
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023