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ORCIDCian M. Scannell
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2020 – today
- 2024
[c4]Rob A. J. de Mooij
, Josien P. W. Pluim, Cian M. Scannell:
Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. DEMI@MICCAI 2024: 115-124- [i7]Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell:
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. CoRR abs/2409.18100 (2024) - 2022
- [j5]Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell:
Optimized automated cardiac MR scar quantification with GAN-based data augmentation. Comput. Methods Programs Biomed. 226: 107116 (2022) - [j4]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 Anal. 78: 102399 (2022) - [c3]Sina Amirrajab, Yasmina Al Khalil, Josien P. W. Pluim, Marcel Breeuwer, Cian M. Scannell:
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. STACOM@MICCAI 2022: 466-475 - 2021
- [j3]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [i6]Ruth P. Lim, Stefan Kachel, Adriana D. M. Villa, Leighton Kearney, Nuno Bettencourt, Alistair A. Young, Amedeo Chiribiri, Cian M. Scannell:
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images. CoRR abs/2109.08479 (2021) - [i5]Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell:
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation. CoRR abs/2109.12940 (2021) - 2020
- [j2]Cian M. Scannell, Amedeo Chiribiri, Adriana D. M. Villa, Marcel Breeuwer, Jack Lee:
Hierarchical Bayesian myocardial perfusion quantification. Medical Image Anal. 60 (2020) - [c2]Cian M. Scannell, Amedeo Chiribiri, Mitko Veta:
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 228-237 - [c1]Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia:
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information. M&Ms and EMIDEC/STACOM@MICCAI 2020: 334-341 - [i4]Cian M. Scannell, Amedeo Chiribiri, Mitko Veta:
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. CoRR abs/2008.11776 (2020) - [i3]Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell:
Physics-informed neural networks for myocardial perfusion MRI quantification. CoRR abs/2011.12844 (2020)
2010 – 2019
- 2019
- [j1]Cian M. Scannell, Adriana D. M. Villa, Jack Lee, Marcel Breeuwer, Amedeo Chiribiri:
Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data. IEEE Trans. Medical Imaging 38(8): 1812-1820 (2019) - [i2]Cian M. Scannell, Amedeo Chiribiri, Adriana D. M. Villa, Marcel Breeuwer, Jack Lee:
Hierarchical Bayesian myocardial perfusion quantification. CoRR abs/1906.02540 (2019) - [i1]Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri, Jack Lee, Marcel Breeuwer, Mitko Veta:
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI. CoRR abs/1907.11899 (2019)
Coauthor Index
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