Ján Margeta

According to our database, Ján Margeta authored at least 14 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation.

Paula López Diez, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Deep Reinforcement Learning for Detection of Abnormal Anatomies.

Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning.

Ana-Teodora Radutoiu, François Patou, Ján Margeta, Rasmus R. Paulsen, Paula López Diez

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography.

Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection.

Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2017

Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition.

Ján Margeta, Antonio Criminisi, Rocío Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017

2015

Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques).

Ján Margeta

PhD thesis, 2015

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.

Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode

IEEE Trans. Medical Imaging, 2015

Myocardial Infarct Localization Using Neighbourhood Approximation Forests.

Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

2014

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.

Avan Suinesiaputra, Brett R. Cowan, Ahmed O. Al-Agamy, Mustafa A. Elattar, Nicholas Ayache, Ahmed S. Fahmy, Ayman M. Khalifa, Pau Medrano-Gracia, Marie-Pierre Jolly, Alan H. Kadish, Daniel C. Lee, Ján Margeta, Simon K. Warfield, Alistair A. Young

Medical Image Anal., 2014

Recognizing Cardiac Magnetic Resonance Acquisition Planes.

Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache

Proceedings of the Medical Image Understanding and Analysis, 2014

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets.

Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

2013

Decision Forests for Segmentation of the Left Atrium from 3D MRI.

Ján Margeta, Kristin McLeod, Antonio Criminisi, Nicholas Ayache

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

2011

Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data.

Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011