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Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation.

D. Lustermans, S. Amirrajab, M. Veta, M. Breeuwer, and C. Scannell. CoRR, (2021)

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Claudia Filomena Cianciulli

Vincenzo Ciancaglini

Eleonora Cianci

Simon M M Laimer

M. Biswas M. Dam

Other publications of authors with the same name

Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI.C. Scannell, P. van den Bosch, A. Chiribiri, J. Lee, M. Breeuwer, and M. Veta. CoRR, (2019)Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation.C. Scannell, A. Chiribiri, and M. Veta. M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 228-237. Springer, (2020)Physics-informed neural networks for myocardial perfusion MRI quantification.R. van Herten, A. Chiribiri, M. Breeuwer, M. Veta, and C. Scannell. CoRR, (2020)CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images.R. Lim, S. Kachel, A. Villa, L. Kearney, N. Bettencourt, A. Young, A. Chiribiri, and C. Scannell. CoRR, (2021)Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data.S. Amirrajab, Y. Khalil, J. Pluim, M. Breeuwer, and C. Scannell. STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 466-475. Springer, (2022)Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data.C. Scannell, A. Villa, J. Lee, M. Breeuwer, and A. Chiribiri. IEEE Trans. Med. Imaging, 38 (8): 1812-1820 (2019)Physics-informed neural networks for myocardial perfusion MRI quantification.R. van Herten, A. Chiribiri, M. Breeuwer, M. Veta, and C. Scannell. Medical Image Anal., (2022)Optimized automated cardiac MR scar quantification with GAN-based data augmentation.D. Lustermans, S. Amirrajab, M. Veta, M. Breeuwer, and C. Scannell. Comput. Methods Programs Biomed., (2022)Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.V. Campello, P. Gkontra, C. Izquierdo, C. Martín-Isla, A. Sojoudi, P. Full, K. Maier-Hein, Y. Zhang, Z. He, J. Ma and 37 other author(s). IEEE Trans. Medical Imaging, 40 (12): 3543-3554 (2021)Hierarchical Bayesian myocardial perfusion quantification.C. Scannell, A. Chiribiri, A. Villa, M. Breeuwer, and J. Lee. Medical Image Anal., (2020)

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Disambiguation of "Scannell, Cian M."

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Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation.

Please choose a person to relate this publication to

Claudia Filomena Cianciulli

Vincenzo Ciancaglini

Eleonora Cianci

Simon M M Laimer

M. Biswas M. Dam

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Scannell, Cian M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation.

Please choose a person to relate this publication to

Claudia Filomena Cianciulli

Vincenzo Ciancaglini

Eleonora Cianci

Simon M M Laimer

M. Biswas M. Dam

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation.