Ján Margeta
Cited by
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A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
A Suinesiaputra, BR Cowan, AO Al-Agamy, MA Elattar, N Ayache, ...
Medical image analysis 18 (1), 50-62, 2014
Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets
C Tobon-Gomez, A Geers, J Peters, J Weese, K Pinto, R Karim, ...
Medical Imaging, IEEE Transactions on, pp.1,1, 2015
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition
J Margeta, A Criminisi, R Cabrera Lozoya, DC Lee, N Ayache
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017
Layered Spatio-Temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data
J Margeta, E Geremia, A Criminisi, N Ayache
MICCAI workshop: Statistical Atlases and Computational Models of the Heart …, 2011
Decision forests for segmentation of the left atrium from 3D MRI
J Margeta, K McLeod, A Criminisi, N Ayache
International Workshop on Statistical Atlases and Computational Models of …, 2013
Myocardial infarct localization using neighbourhood approximation forests
H Bleton, J Margeta, H Lombaert, H Delingette, N Ayache
Statistical Atlases and Computational Models of the Heart, 108-116, 2015
Confidence-based training for clinical data uncertainty in image-based prediction of cardiac ablation targets
R Cabrera-Lozoya, J Margeta, LL Folgoc, Y Komatsu, B Berte, J Relan, ...
International MICCAI Workshop on Medical Computer Vision, 148-159, 2014
Recognizing cardiac magnetic resonance acquisition planes
J Margeta, A Criminisi, DC Lee, N Ayache
MIUA-Medical Image Understanding and Analysis Conference-2014, 2014
Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach
RC Lozoya, J Margeta, LL Folgoc, Y Komatsu, B Berte, JS Relan, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), 1-2, 2015
Machine Learning for Simplifying the Use of Cardiac Image Databases.(Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques).
J Margeta
Mines ParisTech, France, 2015
Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection
P López Diez, JV Sundgaard, F Patou, J Margeta, RR Paulsen
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Deep Reinforcement Learning for Detection of Abnormal Anatomies
PL Diez, KA Juhl, JV Sundgaard, H Diab, J Margeta, F Patou, RR Paulsen
Proceedings of the Northern Lights Deep Learning Workshop 3, 2022
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography
PL Diez, K Sørensen, JV Sundgaard, K Diab, J Margeta, F Patou, ...
25th International Conference on Medical Image Computing and Computer …, 2022
Nautilus: A Clinical Tool for the Segmentation of Intra-Cochlear Structures and Related Applications
J Margeta, T Demarcy, P Lopez Diez, R Hussain, C Vandersteen, ...
Conference on Implantable Auditory Prostheses (CIAP), 2021
Method and stationery system for monitoring equipment of a railway vehicle
O Urena, K Korotkov, P Gratacos, R Marti Marly, J Salvi Mas, J Margeta
EP Patent 2 546 120 A1, 2013
Spatiotemporal iterative reconstruction of cerebral vasculature from rotational angiography
C Zhang, R Cárdenes, J Margeta, MC Villa-Uriol, AF Frangi
International Workshop on Spatio-Temporal Image Analysis for Longitudinal …, 2010
Control of a haptic glove
J Margeta, 2007
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