| 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 | 96 | 2017 |
| 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 | 75 | 2015 |
| 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 | 74 | 2018 |
| Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation R Attar, M Pereañez, A Gooya, X Albà, L Zhang, MH de Vila, AM Lee, ... Medical image analysis 56, 26-42, 2019 | 62 | 2019 |
| An algorithm for the segmentation of highly abnormal hearts using a generic statistical shape model X Alba, M Pereañez, C Hoogendoorn, AJ Swift, JM Wild, AF Frangi, ... IEEE transactions on medical imaging 35 (3), 845-859, 2015 | 49 | 2015 |
| Accurate segmentation of vertebral bodies and processes using statistical shape decomposition and conditional models M Pereañez, K Lekadir, I Castro-Mateos, JM Pozo, Á Lazáry, AF Frangi IEEE transactions on medical imaging 34 (8), 1627-1639, 2015 | 43 | 2015 |
| 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 | 38 | 2018 |
| 3D cardiac shape prediction with deep neural networks: simultaneous use of images and patient metadata R Attar, M Pereañez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 30 | 2019 |
| 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 | 30 | 2014 |
| Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI L Zhang, M Pereañez, SK Piechnik, S Neubauer, SE Petersen, AF Frangi International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 27 | 2018 |
| Statistical shape modeling using partial least squares: application to the assessment of myocardial infarction K Lekadir, X Albà, M Pereañez, AF Frangi Statistical Atlases and Computational Models of the Heart. Imaging and …, 2016 | 17 | 2016 |
| A framework for the merging of pre-existing and correspondenceless 3D statistical shape models M Pereañez, K Lekadir, C Butakoff, C Hoogendoorn, AF Frangi Medical image analysis 18 (7), 1044-1058, 2014 | 16 | 2014 |
| 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 | 12 | 2018 |
| Reusability of statistical shape models for the segmentation of severely abnormal hearts X Albà, K Lekadir, C Hoogendoorn, M Pereanez, AJ Swift, JM Wild, ... Statistical Atlases and Computational Models of the Heart-Imaging and …, 2015 | 11 | 2015 |
| 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 | 10 | 2014 |
| High throughput computation of reference ranges of biventricular cardiac function on the UK Biobank population cohort R Attar, M Pereañez, A Gooya, X Albà, L Zhang, SK Piechnik, S Neubauer, ... Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 8 | 2019 |
| Missing slice imputation in population CMR imaging via conditional generative adversarial nets L Zhang, M Pereañez, C Bowles, S Piechnik, S Neubauer, S Petersen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 5 | 2019 |
| Detailed vertebral segmentation using part-based decomposition and conditional shape models M Pereañez, K Lekadir, C Hoogendoorn, I Castro-Mateos, A Frangi Recent Advances in Computational Methods and Clinical Applications for Spine …, 2015 | 5 | 2015 |
| Enlargement, subdivision and individualization of statistical shape models: application to 3D medical image segmentation M Pereañez Universitat Pompeu Fabra, 2017 | 4 | 2017 |
| Patient metadata-constrained shape models for cardiac image segmentation M Pereañez, K Lekadir, X Albà, P Medrano-Gracia, AA Young, A Frangi Statistical Atlases and Computational Models of the Heart. Imaging and …, 2016 | 4 | 2016 |
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan Turingยืนยันอีเมลแล้วที่ manchester.ac.uk