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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, M. Parreño, A. Albiol, F. Kong, S. Shadden, J. Acero, V. Sundaresan, M. Saber, M. Alattar, H. Li, B. Menze, F. Khader, C. Haarburger, C. Scannell, M. Veta, A. Carscadden, K. Punithakumar, X. Liu, S. Tsaftaris, X. Huang, X. Yang, L. Li, X. Zhuang, D. Viladés, M. Descalzo, A. Guala, L. Mura, M. Friedrich, R. Garg, J. Lebel, F. Henriques, M. Karakas, E. Çavus, S. Petersen, S. Escalera, S. Seguí, J. Palomares, and K. Lekadir. IEEE Trans. Medical Imaging, 40 (12): 3543-3554 (2021)

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Filipe Campello

Víctor Farías

Víctor Castaño

Víctor Jiménez

Víctor Uc-Cetina

Reinforcement learning in continuous state and action spacesV. Uc-Cetina. HU Berlin, (2009)

Other publications of authors with the same name

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.X. Zhuang, J. Xu, X. Luo, C. Chen, C. Ouyang, D. Rueckert, V. Campello, K. Lekadir, S. Vesal, N. Ravikumar and 13 other author(s). Medical Image Anal., (2022)Domain generalization in deep learning for contrast-enhanced imaging.C. Sendra-Balcells, V. Campello, C. Martín-Isla, D. Viladés, M. Descalzo, A. Guala, J. Palomares, and K. Lekadir. Comput. Biol. Medicine, (2022)Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI.V. Campello, C. Martín-Isla, C. Izquierdo, S. Petersen, M. Ballester, and K. Lekadir. STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 290-299. Springer, (2019)nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.S. Joshi, R. Osuala, C. Martín-Isla, V. Campello, C. Sendra-Balcells, K. Lekadir, and S. Escalera. BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 540-551. Springer, (2021)Style Curriculum Learning for Robust Medical Image Segmentation.Z. Liu, M. Van, X. Yang, X. Huang, K. Lekadir, V. Campello, N. Ravikumar, A. Frangi, and D. Ni. MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 451-460. Springer, (2021)Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI.C. Sendra-Balcells, V. Campello, C. Martín-Isla, D. Medel, M. Descalzo, A. Guala, J. Palomares, and K. Lekadir. CoRR, (2021)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.X. Zhuang, J. Xu, X. Luo, C. Chen, C. Ouyang, D. Rueckert, V. Campello, K. Lekadir, S. Vesal, N. Ravikumar and 13 other author(s). CoRR, (2020)Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries.C. Sendra-Balcells, V. Campello, J. Torrents-Barrena, Y. Ahmed, M. Elattar, B. Botwe, P. Nyangulu, W. Stones, M. Ammar, L. Benamer and 7 other author(s). CoRR, (2022)Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.K. Kushibar, V. Campello, L. Garrucho, A. Linardos, P. Radeva, and K. Lekadir. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 514-524. Springer, (2022)Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.C. Martín-Isla, V. Campello, C. Izquierdo, K. Kushibar, C. Sendra-Balcells, P. Gkontra, A. Sojoudi, M. Fulton, T. Arega, K. Punithakumar and 30 other author(s). IEEE J. Biomed. Health Informatics, 27 (7): 3302-3313 (July 2023)

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Disambiguation of "Campello, Víctor M."

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Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Please choose a person to relate this publication to

Filipe Campello

Víctor Farías

Víctor Castaño

Víctor Jiménez

Víctor Uc-Cetina

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Campello, Víctor M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Please choose a person to relate this publication to

Filipe Campello

Víctor Farías

Víctor Castaño

Víctor Jiménez

Víctor Uc-Cetina

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
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Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.