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Esmeralda Ruiz Pujadas
Esmeralda Ruiz Pujadas
Universidad de Barcelona
Verified email at uniklinik-freiburg.de
Title
Cited by
Cited by
Year
Shape-Based Normalized Cuts Using Spectral Relaxation for Biomedical Segmentation
E Ruiz, M Reisert
IEEE Transactions on Image Processing, 2013
172013
Prediction of incident cardiovascular events using machine learning and CMR radiomics
ER Pujadas, Z Raisi-Estabragh, L Szabo, C McCracken, CI Morcillo, ...
European radiology 33 (5), 3488-3500, 2023
102023
Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
L Szabo, Z Raisi-Estabragh, A Salih, C McCracken, E Ruiz Pujadas, ...
Frontiers in Cardiovascular Medicine 9, 1016032, 2022
102022
Image segmentation using normalized cuts with multiple priors
E Ruiz, M Reisert
Medical Imaging 2013: Image Processing 8669, 877-883, 2013
72013
Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers
AM Salih, ER Pujadas, VM Campello, C McCracken, NC Harvey, ...
Journal of Magnetic Resonance Imaging 58 (6), 1797-1812, 2023
62023
Random walks with statistical shape prior for cochlea and inner ear segmentation in micro-CT images
E Ruiz Pujadas, G Piella, HM Kjer, MA González Ballester
Machine Vision and Applications 29, 405-414, 2018
62018
Cochlea segmentation using iterated random walks with shape prior
ER Pujadas, HM Kjer, S Vera, M Ceresa, MÁG Ballester
Medical Imaging 2016: Image Processing 9784, 778-786, 2016
62016
Statistical shape model with random walks for inner ear segmentation
E Ruiz Pujadas, HM Kjer, G Piella, MAG Ballester
Spectral and Shape Analysis in Medical Imaging: First International Workshop …, 2016
62016
Atrial fibrillation prediction by combining ECG markers and CMR radiomics
ER Pujadas, Z Raisi-Estabragh, L Szabo, CI Morcillo, VM Campello, ...
Scientific Reports 12 (1), 18876, 2022
42022
Distributed SAT
E Ruiz
Artificial Intelligence Review 35, 265-285, 2011
42011
Iterated random walks with shape prior
ER Pujadas, HM Kjer, G Piella, MAG Ballester
Image and Vision Computing 54, 12-21, 2016
32016
Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning
H Naderi, J Ramírez, S van Duijvenboden, ER Pujadas, N Aung, L Wang, ...
European Heart Journal-Digital Health 4 (4), 316-324, 2023
22023
Random walks with shape prior for cochlea segmentation in ex vivo
E Ruiz Pujadas, HM Kjer, G Piella, M Ceresa, MA González Ballester
International Journal of Computer Assisted Radiology and Surgery 11, 1647-1659, 2016
22016
Radiomics of pericardial fat: a new frontier in heart failure discrimination and prediction
L Szabo, A Salih, ER Pujadas, A Bard, C McCracken, M Ardissino, ...
European Radiology, 1-14, 2023
12023
Non-Euclidean basis function based level set segmentation with statistical shape prior
E Ruiz, M Reisert, L Bai
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
12013
Advancing Subclinical Hypertrophic Cardiomyopathy Diagnosis: The Role of Cardiovascular Magnetic Resonance Based Radiomics and Machine Learning
L Szabo, ER Pujadas, Z Raisi-Estabragh, R Hughes, G Joy, J Moon, ...
Journal of Cardiovascular Magnetic Resonance 26, 2024
2024
Cohort Profile: The Cardiovascular Research Data Catalogue
J Reinikainen, T Palosaari, AJ Canosa-Valls, CO Schmidt, R Wissa, ...
International Journal of Epidemiology 53 (1), dyad175, 2024
2024
Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning
H Naderi, J Ramírez, S Van Duijvenboden, ER Pujadas, N Aung, L Wang, ...
medRxiv, 2024.04. 22.24306204, 2024
2024
Classifying hypertension mediated left ventricular hypertrophy phenotypes from the 12-lead electrocardiogram using machine learning
H Naderi, J Ramirez, S Van Duijvenboden, E Ruiz Pujadas, N Aung, ...
European Heart Journal-Cardiovascular Imaging 24 (Supplement_1), jead119. 054, 2023
2023
Machine learning-based prediction of diabetes risk by combining exposome and electrocardiographic predictors
Z Shahbazi, M Camacho, E Ruiz, A Atehortua, K Lekadir
18th International Symposium on Medical Information Processing and Analysis …, 2023
2023
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