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Marco Pereaņez, PhD
Marco Pereaņez, PhD
Mount Sinai Health System
Verified email at mssm.edu
Title
Cited by
Cited by
Year
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
872017
Statistical interspace models (SIMs): application to robust 3D spine segmentation
I Castro-Mateos, JM Pozo, M Pereanez, K Lekadir, A Lazary, AF Frangi
IEEE transactions on medical imaging 34 (8), 1663-1675, 2015
672015
Automatic initialization and quality control of large-scale cardiac MRI segmentations
X Alba, K Lekadir, M Pereanez, P Medrano-Gracia, AA Young, AF Frangi
Medical image analysis 43, 129-141, 2018
652018
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
R Attar, M Pereaņez, A Gooya, X Albā, L Zhang, MH de Vila, AM Lee, ...
Medical image analysis 56, 26-42, 2019
552019
An algorithm for the segmentation of highly abnormal hearts using a generic statistical shape model
X Alba, M Pereaņez, C Hoogendoorn, AJ Swift, JM Wild, AF Frangi, ...
IEEE transactions on medical imaging 35 (3), 845-859, 2015
462015
Accurate segmentation of vertebral bodies and processes using statistical shape decomposition and conditional models
M Pereaņez, K Lekadir, I Castro-Mateos, JM Pozo, Á Lazáry, AF Frangi
IEEE transactions on medical imaging 34 (8), 1627-1639, 2015
442015
Automatic assessment of full left ventricular coverage in cardiac cine magnetic resonance imaging with fisher-discriminative 3-D CNN
L Zhang, A Gooya, M Pereanez, B Dong, SK Piechnik, S Neubauer, ...
IEEE Transactions on Biomedical Engineering 66 (7), 1975-1986, 2018
302018
Statistical personalization of ventricular fiber orientation using shape predictors
K Lekadir, C Hoogendoorn, M Pereanez, X Alba, A Pashaei, AF Frangi
IEEE transactions on medical imaging 33 (4), 882-890, 2014
282014
3D cardiac shape prediction with deep neural networks: simultaneous use of images and patient metadata
R Attar, M Pereaņez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
252019
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI
L Zhang, M Pereaņez, SK Piechnik, S Neubauer, SE Petersen, AF Frangi
International Conference on Medical Image Computing and Computer-Assisted …, 2018
252018
Statistical shape modeling using partial least squares: application to the assessment of myocardial infarction
K Lekadir, X Albā, M Pereaņez, AF Frangi
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2016
202016
A framework for the merging of pre-existing and correspondenceless 3D statistical shape models
M Pereaņez, K Lekadir, C Butakoff, C Hoogendoorn, AF Frangi
Medical image analysis 18 (7), 1044-1058, 2014
162014
Reusability of statistical shape models for the segmentation of severely abnormal hearts
X Albā, K Lekadir, C Hoogendoorn, M Pereanez, AJ Swift, JM Wild, ...
Statistical Atlases and Computational Models of the Heart-Imaging and …, 2015
112015
MULTI-X, a state-of-the-art cloud-based ecosystem for biomedical research
MH De Vila, R Attar, M Pereanez, AF Frangi
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
102018
Effect of statistically derived fiber models on the estimation of cardiac electrical activation
K Lekadir, A Pashaei, C Hoogendoorn, M Pereanez, X Alba, AF Frangi
IEEE Transactions on Biomedical Engineering 61 (11), 2740-2748, 2014
102014
High throughput computation of reference ranges of biventricular cardiac function on the UK Biobank population cohort
R Attar, M Pereaņez, A Gooya, X Albā, L Zhang, SK Piechnik, S Neubauer, ...
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
92019
Detailed vertebral segmentation using part-based decomposition and conditional shape models
M Pereaņez, K Lekadir, C Hoogendoorn, I Castro-Mateos, A Frangi
Recent Advances in Computational Methods and Clinical Applications for Spine …, 2015
52015
Missing slice imputation in population CMR imaging via conditional generative adversarial nets
L Zhang, M Pereaņez, C Bowles, S Piechnik, S Neubauer, S Petersen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
42019
Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation
M Pereaņez
Universitat Pompeu Fabra, 2017
42017
Patient metadata-constrained shape models for cardiac image segmentation
M Pereaņez, K Lekadir, X Albā, P Medrano-Gracia, AA Young, A Frangi
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2016
42016
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