Quantitative Cardiac Image Analysis (q-cardIA) team

Current Members

Cian M. Scannell
Assistant Professor
Medical Image Analysis group, Department of Biomedical Engineering, Eindhoven University of Technology

Rob de Mooij
Phd Candidate
Rob is currently a second year PhD student at Eindhoven University of Technology in the Medical Image Analysis group within the Department of Biomedical Engineering. He completed both a bachelor’s degree in biomedical engineering and my master’s degree in medical engineering at Eindhoven University of Technology. During his studies, he has collaborated with Maastro Clinic and University Medical Center Utrecht to research deep learning solutions for clinically relevant problems.

Stijn van Wijngaarden
MSc student
Stijn is a master’s student in Biomedical Engineering at the TU/e, with a specialization in Medical Image Analysis. For his thesis, he is working on generative AI for multi-domain adaptation in automated cardiac MR scar quantification.

Noortje Schueler
MSc student
Noortje is a master’s student in Biomedical Engineering at the TU/e, with a specialization in Medical Image Analysis. For her thesis, she is working on deep learning registration of stress perfusion cardiac MR.

Kai Bouman
MSc student
Kai is a master’s student in Medical Engineering at the TU/e, with a specialization in Medical Image Analysis. For his thesis, he is working on Denoising Diffusion Probabilistic Model for cardiac MRI generation in collaboration with Maastricht UMC+.

Former Members

• Shao-Kai Huang - Master thesis.
  A Fair Optimization of Diffusion Model for 2D Cardiac MR Image Generation.
• Tim Jaspers - Master internship (now PhD candidate in Electrical Engineering at the TU/e).
  Deep learning synthesis of white-blood from dark-blood late gadolinium enhancement cardiovascular magnetic resonance.
• Didier Lustermans - Master thesis (now PhD candidate at Maastro clinic (Maastricht UMC+)).
  Optimized automated cardiac MR scar quantification with GAN‐based data augmentation - published in Computer Methods and Programs in Biomedicine.
• Roel van Herten - Master thesis (now PhD candidate in the Cardiovascular Lab at the Amsterdam UMC).
  Physics-informed neural networks for myocardial perfusion MRI quantification - published in Medical Image Analysis.
• Piet van den Bosch - Master internship (now software engineer at Pie Medical Imaging).
  Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI - published at MIDL 2019.