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Cian M. Scannell
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Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
2702021
Coronary microvascular dysfunction is associated with myocardial ischemia and abnormal coronary perfusion during exercise
H Rahman, M Ryan, M Lumley, B Modi, H McConkey, H Ellis, C Scannell, ...
Circulation 140 (22), 1805-1816, 2019
1342019
High-resolution cardiac magnetic resonance imaging techniques for the identification of coronary microvascular dysfunction
H Rahman, CM Scannell, OM Demir, M Ryan, H McConkey, H Ellis, ...
JACC: Cardiovascular Imaging 14 (5), 978-986, 2021
762021
Deep‐learning‐based preprocessing for quantitative myocardial perfusion MRI
CM Scannell, M Veta, ADM Villa, EC Sammut, J Lee, M Breeuwer, ...
Journal of Magnetic Resonance Imaging 51 (6), 1689-1696, 2020
692020
Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance
ADM Villa, L Corsinovi, I Ntalas, X Milidonis, C Scannell, G Di Giovine, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 74, 2018
492018
Optimal use of vasodilators for diagnosis of microvascular angina in the cardiac catheterization laboratory
H Rahman, OM Demir, M Ryan, H McConkey, C Scannell, H Ellis, A Webb, ...
Circulation: Cardiovascular Interventions 13 (6), e009019, 2020
392020
Robust non-rigid motion compensation of free-breathing myocardial perfusion MRI data
CM Scannell, ADM Villa, J Lee, M Breeuwer, A Chiribiri
IEEE transactions on medical imaging 38 (8), 1812-1820, 2019
382019
Physics-informed neural networks for myocardial perfusion MRI quantification
RLM van Herten, A Chiribiri, M Breeuwer, M Veta, CM Scannell
Medical Image Analysis 78, 102399, 2022
342022
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
CM Scannell, A Chiribiri, M Veta
International Workshop on Statistical Atlases and Computational Models of …, 2020
302020
Hierarchical Bayesian myocardial perfusion quantification
CM Scannell, A Chiribiri, ADM Villa, M Breeuwer, J Lee
Medical image analysis 60, 101611, 2020
252020
Optimized automated cardiac MR scar quantification with GAN‐based data augmentation
DR Lustermans, S Amirrajab, M Veta, M Breeuwer, CM Scannell
Computer Methods and Programs in Biomedicine 226, 107116, 2022
132022
Automated quantitative stress perfusion cardiac magnetic resonance in pediatric patients
CM Scannell, H Hasaneen, G Greil, T Hussain, R Razavi, J Lee, ...
Frontiers in Pediatrics 9, 2021
132021
Brief research report: quantitative analysis of potential coronary microvascular disease in suspected long-COVID syndrome
P Doeblin, F Steinbeis, CM Scannell, C Goetze, S Al-Tabatabaee, J Erley, ...
Frontiers in Cardiovascular Medicine 9, 877416, 2022
122022
Automatic Myocardial Disease Prediction From Delayed-Enhancement Cardiac MRI and Clinical Information
A Lourenço, E Kerfoot, I Grigorescu, CM Scannell, M Varela, TM Correia
International Workshop on Statistical Atlases and Computational Models of …, 2020
112020
Feasibility of free-breathing quantitative myocardial perfusion using multi-echo Dixon magnetic resonance imaging
CM Scannell, T Correia, ADM Villa, T Schneider, J Lee, M Breeuwer, ...
Scientific Reports 10 (1), 12684, 2020
92020
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
RP Lim, S Kachel, ADM Villa, L Kearney, N Bettencourt, AA Young, ...
European radiology 32 (9), 5907-5920, 2022
62022
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI
CM Scannell, P van den Bosch, A Chiribiri, J Lee, M Breeuwer, M Veta
Medical Imaging with Deep Learning: MIDL (Extended Abstract Track), 2019
62019
AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance
CM Scannell, E Alskaf, N Sharrack, R Razavi, S Ourselin, AA Young, ...
European Heart Journal-Digital Health 4 (1), 12-21, 2023
52023
Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis
E Alskaf, U Dutta, CM Scannell, A Chiribiri
Informatics in Medicine Unlocked 32, 101055, 2022
52022
High-resolution free-breathing quantitative first-pass perfusion cardiac MR using dual-echo Dixon with spatio-temporal acceleration
J Tourais, CM Scannell, T Schneider, E Alskaf, R Crawley, F Bosio, ...
Frontiers in Cardiovascular Medicine 9, 884221, 2022
42022
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