Tianyi Ding

Dr. Tianyi Ding

Research Fellow, Medical Imaging & Radiotherapy (including AI)

Details

  • College: School of Health and Biomedical Sciences
  • Department: Health and Biomedical Sciences
  • Campus: Bundoora West Australia
  • tianyi.ding@rmit.edu.au

About

Dr Tianyi Ding is a Research Fellow in Medical Imaging and Radiotherapy at RMIT University. His research focuses on artificial intelligence and computational methods for medical imaging, with particular interests in image reconstruction, quantitative imaging, and dynamic imaging.

 

He completed his PhD in Biomedical Engineering at The University of Queensland, where his research focused on Magnetic Resonance Fingerprinting (MRF), quantitative MRI, and deep learning-based image reconstruction. His work involved developing deep learning methods for accelerating image reconstruction and improving quantitative parameter estimation from highly undersampled MRI data.

 

His current research extends these methods to broader medical imaging problems, including CT and dynamic imaging, with an interest in deep learning, implicit neural representations, and data-efficient computational imaging. He is particularly interested in developing methods that combine imaging physics with machine learning to improve image reconstruction and quantitative analysis when measurements or ground-truth data are limited.

Research interests

  • Artificial Intelligence for Medical Imaging
  • Medical Image Reconstruction
  • Computational and Quantitative ImagingDynamic Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Magnetic Resonance Fingerprinting (MRF)
  • Computed Tomography (CT)
  • Deep Learning and Representation Learning
  • Implicit Neural Representations (INRs)
  • Physics-informed Machine Learning
  • Image Reconstruction from Sparse and Undersampled Data
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