Selected Key Publications
- Cian M. Scannell, Mitko Veta, Adriana D.M. Villa, Eva Sammut, Jack Lee, Marcel Breeuwer, Amedeo Chiribiri. Deep-Learning-Based Preprocessing for Quantitative Myocardial Perfusion MRI. Journal of Magnetic Resonamce Imaging. 2020. (link)
- Didier R.P.R.M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell. Optimized automated cardiac MR scar quantification with GANābased data augmentation. Computer Methods and Programs in Biomedicine. 2022. (link)
- Rudolf L.M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell. Physics-informed neural networks for myocardial perfusion MRI quantification. Medical Image Analysis. 2022. (link)
- Cian M. Scannell, et al. AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance. European Heart Journal - Digital Health. 2023. (link)
- Haseeb Rahman, Cian M. Scannell, et al. High-Resolution Cardiac Magnetic Resonance Imaging Techniques for the Identification of Coronary Microvascular Dysfunction. Journal of the American College of Cardiology Imaging. 2021. (link)
You can find a full up-to-date list of my publications on my Google Scholar profile.