Items where authors include "Pereañez, M"
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Attar, R, Pereañez, M, Gooya, A et al. (13 more authors) (2019) Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Analysis, 56. pp. 26-42. ISSN 1361-8415
Suinesiaputra, A, Ablin, P, Albà, X et al. (33 more authors) (2018) Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE Journal of Biomedical and Health Informatics, 22 (2). pp. 503-515. ISSN 2168-2194
Albà, X, Lekadir, K, Pereañez, M et al. (3 more authors) (2018) Automatic initialization and quality control of large-scale cardiac MRI segmentations. Medical Image Analysis, 43. pp. 129-141. ISSN 1361-8415
Proceedings Paper
Attar, R, Pereañez, M, Bowles, C et al. (4 more authors) (2019) 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. In: Lecture Notes in Computer Science. MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzhen, China. Springer Verlag , pp. 586-594. ISBN 9783030322441
Zhang, L, Pereañez, M, Bowles, C et al. (4 more authors) (2019) Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. In: Lecture Notes in Computer Science. MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzhen, China. Springer Verlag , pp. 651-659. ISBN 9783030322441
Zhang, L, Pereañez, M, Bowles, C et al. (4 more authors) (2019) Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzhen, China. Springer Verlag , pp. 660-668. ISBN 978-3-030-32244-1
Attar, R, Pereañez, M, Gooya, A et al. (6 more authors) (2019) High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. In: Lecture Notes in Computer Science. MICCAI Medical Image Computing and Computer Assisted Interventions, 16-20 Sep 2018, Granada, Spain. Springer Verlag , pp. 114-121. ISBN 9783030120283
Zhang, L, Pereañez, M, Piechnik, SK et al. (3 more authors) (2018) Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI. In: Lecture Notes in Computer Science. 21st International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2018, 16-20 Sep 2018, Granada, Spain,. Springer Verlag , pp. 481-489. ISBN 9783030009335