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Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.

O. Oktay, W. Bai, M. Lee, R. Guerrero, K. Kamnitsas, J. Caballero, A. de Marvao, S. Cook, D. O'Regan, and D. Rueckert. MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 246-254. (2016)

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Antonio Rosario De Pascalis

Antonio Wünsch

Antonio Bergua

Antonio Pinto

Antonio Accardi

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Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.C. Biffi, J. Cerrolaza, G. Tarroni, W. Bai, O. Oktay, L. Folgoc, K. Kamnitsas, A. de Marvao, G. Doumou, J. Duan and 4 other author(s). CoRR, (2019)CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.M. Qiao, S. Wang, H. Qiu, A. de Marvao, D. O'Regan, D. Rueckert, and W. Bai. IEEE Trans. Medical Imaging, 43 (3): 1259-1269 (March 2024)Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.S. Jin, N. Savioli, A. de Marvao, T. Dawes, A. Gandy, D. Rueckert, and D. O'Regan. CoRR, (2019)Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.C. Biffi, A. de Marvao, M. Attard, T. Dawes, N. Whiffin, W. Bai, W. Shi, C. Francis, H. Meyer, R. Buchan and 3 other author(s). Bioinform., 34 (1): 97-103 (2018)Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.O. Oktay, W. Bai, R. Guerrero, M. Rajchl, A. de Marvao, D. O'Regan, S. Cook, M. Heinrich, B. Glocker, and D. Rueckert. IEEE Trans. Medical Imaging, 36 (1): 332-342 (2017)Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.C. Biffi, J. Cerrolaza, G. Tarroni, W. Bai, A. de Marvao, O. Oktay, C. Ledig, L. Folgoc, K. Kamnitsas, G. Doumou and 5 other author(s). IEEE Trans. Medical Imaging, 39 (6): 2088-2099 (2020)Deep learning cardiac motion analysis for human survival prediction.G. Bello, T. Dawes, J. Duan, C. Biffi, A. de Marvao, L. Howard, J. Gibbs, M. Wilkins, S. Cook, D. Rueckert and 1 other author(s). CoRR, (2018)Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.J. Duan, G. Bello, J. Schlemper, W. Bai, T. Dawes, C. Biffi, A. de Marvao, G. Doumou, D. O'Regan, and D. Rueckert. CoRR, (2018)Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.J. Duan, G. Bello, J. Schlemper, W. Bai, T. Dawes, C. Biffi, A. de Marvao, G. Doumou, D. O'Regan, and D. Rueckert. IEEE Trans. Med. Imaging, 38 (9): 2151-2164 (2019)One-stage Multi-task Detector for 3D Cardiac MR Imaging.W. Lu, X. Jia, W. Chen, N. Savioli, A. de Marvao, L. Shen, D. O'Regan, and J. Duan. ICPR, page 1949-1955. IEEE, (2020)

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Disambiguation of "de Marvao, Antonio"

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Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.

Please choose a person to relate this publication to

Antonio Rosario De Pascalis

Antonio Wünsch

Antonio Bergua

Antonio Pinto

Antonio Accardi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "de Marvao, Antonio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.

Please choose a person to relate this publication to

Antonio Rosario De Pascalis

Antonio Wünsch

Antonio Bergua

Antonio Pinto

Antonio Accardi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.