Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI. - Cian M. Scannell; Piet van den Bosch; Amedeo Chiribiri; Jack Lee; Marcel Breeuwer; Mitko Veta (CoRR, 2019)

Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data. - Cian M. Scannell; Adriana D. M. Villa; Jack Lee; Marcel Breeuwer; Amedeo Chiribiri (IEEE Trans. Medical Imaging, 2019)

Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information. - Ana Lourenço; Eric Kerfoot; Irina Grigorescu; Cian M. Scannell; Marta Varela; Teresa Correia (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. - Cian M. Scannell; Amedeo Chiribiri; Mitko Veta (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Hierarchical Bayesian myocardial perfusion quantification. - Cian M. Scannell; Amedeo Chiribiri; Adriana D. M. Villa; Marcel Breeuwer; Jack Lee (Medical Image Anal., 2020)

CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images. - Ruth P. Lim; Stefan Kachel; Adriana D. M. Villa; Leighton Kearney; Nuno Bettencourt; Alistair A. Young; Amedeo Chiribiri; Cian M. Scannell (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. - Sina Amirrajab; Yasmina Al Khalil; Josien P. W. Pluim; Marcel Breeuwer; Cian M. Scannell (STACOM@MICCAI, 2022)

Optimized automated cardiac MR scar quantification with GAN-based data augmentation. - Didier R. P. R. M. Lustermans; Sina Amirrajab; Mitko Veta; Marcel Breeuwer; Cian M. Scannell (Comput. Methods Programs Biomed., 2022)

Physics-informed neural networks for myocardial perfusion MRI quantification. - Rudolf L. M. van Herten; Amedeo Chiribiri; Marcel Breeuwer; Mitko Veta; Cian M. Scannell (Medical Image Anal., 2022)

Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. - Rob A. J. de Mooij; Josien P. W. Pluim; Cian M. Scannell (DEMI@MICCAI, 2024)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)