| 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 | 204 | 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 | 186 | 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 | 102 | 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 | 58 | 2011 |
| A web-based automated image processing research platform for cochlear implantation-related studies J Margeta, R Hussain, P López Diez, A Morgenstern, T Demarcy, Z Wang, ... Journal of clinical medicine 11 (22), 6640, 2022 | 18 | 2022 |
| Decision forests for segmentation of the left atrium from 3D MRI J Margeta, K McLeod, A Criminisi, N Ayache Statistical Atlases and Computational Models of the Heart. Imaging and …, 2014 | 16 | 2014 |
| 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. Imaging and …, 2016 | 13 | 2016 |
| Recognizing cardiac magnetic resonance acquisition planes J Margeta, A Criminisi, DC Lee, N Ayache MIUA-Medical Image Understanding and Analysis Conference-2014, 2014 | 9 | 2014 |
| Confidence-based training for clinical data uncertainty in image-based prediction of cardiac ablation targets R Cabrera-Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, J Relan, ... International MICCAI Workshop on Medical Computer Vision, 148-159, 2014 | 8 | 2014 |
| Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection P López Diez, JV Sundgaard, F Patou, J Margeta, RR Paulsen Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
| Accurate localization of inner ear regions of interests using deep reinforcement learning AT Radutoiu, F Patou, J Margeta, RR Paulsen, P López Diez International Workshop on Machine Learning in Medical Imaging, 416-424, 2022 | 6 | 2022 |
| Deep reinforcement learning for detection of inner ear abnormal anatomy in computed tomography P López Diez, K Sørensen, JV Sundgaard, K Diab, J Margeta, F Patou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Anatomical variations of the human cochlea using an image analysis tool R Hussain, A Frater, R Calixto, C Karoui, J Margeta, Z Wang, M Hoen, ... Journal of Clinical Medicine 12 (2), 509, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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, 1-2, 2015 | 3 | 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 | 3* | 2015 |
| 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 | 2 | 2021 |
| Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation PL Diez, J Margeta, K Diab, F Patou, RR Paulsen 26th International Conference on Medical Image Computing and Computer …, 2023 | 1 | 2023 |
| Myocardial infarct localization using neighborhood approximation forests H Bleton, J Margeta, H Lombaert, H Delingette, N Ayache Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), 2015 | 1 | 2015 |
| Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images PL Diez, JV Sundgaard, J Margeta, K Diab, F Patou, RR Paulsen Computerized Medical Imaging and Graphics, 102343, 2024 | | 2024 |
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'AzurVerified email at inria.fr
