I am an Assistant Professor (tenure-track) in Medical Image Analysis at the Eindhoven University of Technology.

My primary research interest is to improve the robustness and reliability of deep learning models for medical image analysis in order to realise the full potential of AI in clinical practice. To achieve this I am:

• exploring data-efficient (self-supervised, unsupervised,…) learning to exploit large unlabelled clinical databases.
• embedding domain knowledge and incorporating prior anatomical, physical, and clinical information in model architectures to improve efficacy.
• understanding when AI will fail, using out-of-distribution detection.
• leveraging generative AI with a view to using synthetic images in model training and improving the quality of clinical data.

I am particularly interested in the automated analysis of quantitative cardiac MRI data, and I am currently working with a team of students and collaborators towards this goal.

Previously, I studied Mathematical Sciences at University College Cork, Ireland. After that I did a PhD using AI to automate quantitative stress perfusion cardiac MR with Amedeo Chiribri at King’s College London, where I later held an early-career postdoc fellowship from the Wellcome/EPSRC Centre for Medical Engineering on AI-enabled quantitative cardiac magnetic resonance.

Please get in touch if you are interested in discussing my work, future collaborations or opportunities.

News

• March 2024: New paper on evaluating in-line automated quantitative perfusion CMR.
• January 2024: New papers on: (1) Automatically selecting inversion times for LGE cardiac MR imaging, and (2) Reporting high-resolution quantitative stress perfusion CMR.
• December 2023: Kai Bouman started his MSc thesis with me.
• October 2023: Shao-Kai Huang graduates!
• September 2023: Stijn van Wijngaarden and Noortje Schueler start their MSc thesis with me.
• August 2023: I published (with Amedeo Chiribiri and Tim Leiner) a book chapter on the role AI in perfusion MRI.
• May 2023: I attend EACVI 2023 in Barcelona and presented a comparison of automated quantitative stress perfusion cardiac MR with AI-AIF versus FFR.
• April 2023: Shao-Kai Huang has started his MSc thesis on the topic of Denoising Diffusion Probabilistic Models for cardiac MR synthesis.
• Feb 2023: I am guest editing a special issue of Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA) on “The role of artificial intelligence in MRI/MRS acquisition and reconstruction” submit here!
• Jan 2023: We published the AI-AIF, an AI-based correction of the arterial input function for quantitative stress perfusion cardiac MR in the European Heart Journal - Digital Health.
• Dec 2022: Rob de Mooij has started as a PhD candidate. He is currently researching self-supervised pretraining approaches for cardiac MR image analysis.
• Sept 2022: We came in 3rd place for both tasks in the CMRxMotion challenge at MICCAI (the only team in the top 3 for both tasks).

George Boole, the first Professor of Mathematics at University College Cork.