Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images - Paula López Diez; Josefine Vilsbøll Sundgaard; Ján Margeta; Khassan Diab; François Patou; Rasmus R. Paulsen (Comput. Medical Imaging Graph., 2024)

Spatio-Temporal Neural Distance Fields for Conditional Generative Modeling of the Heart - Kristine Sørensen; Paula López Diez; Ján Margeta; Yasmin El Youssef; Michael Huy Cuong Pham; Jonas Jalili Pedersen; J. Tobias Kühl; Ole De Backer; Klaus F. Kofoed; Oscar Camara; Rasmus R. Paulsen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III, 2024)

nilearn (Version 0.10.3) - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)
Accessed on YYYY-MM-DD.

nilearn (Version 0.10.4) - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)
Accessed on YYYY-MM-DD.

Spatio-temporal neural distance fields for conditional generative modeling of the heart - Kristine Sørensen; Paula López Diez; Ján Margeta; Yasmin El Youssef; Michael Huy Cuong Pham; Jonas Jalili Pedersen; J. Tobias Kühl; Ole De Backer; Klaus F. Kofoed; Oscar Camara; Rasmus R. Paulsen (CoRR, 2024)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

nilearn (Version 0.10.2) - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)
Accessed on YYYY-MM-DD.

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 (Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III, 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, NLDL 2022, virtual, January 10-12, 2022, 2022)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV, 2021)

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)

Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques) - Ján Margeta (Mines ParisTech, France, 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; et al. (IEEE Trans. Medical Imaging, 2015)

Myocardial Infarct Localization Using Neighbourhood Approximation Forests - Héloïse Bleton; Ján Margeta; Hervé Lombaert; Hervé Delingette; Nicholas Ayache (Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers, 2015)

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; et al. (Medical Image Anal., 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 (Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers, 2014)

Recognizing Cardiac Magnetic Resonance Acquisition Planes - Ján Margeta; Antonio Criminisi; Daniel C. Lee; Nicholas Ayache (Medical Image Understanding and Analysis - MIUA 2014. 18th Annual Conference, Egham, UK, July 9-11, 2014. Proceedings, 2014)

Decision Forests for Segmentation of the Left Atrium from 3D MRI - Ján Margeta; Kristin McLeod; Antonio Criminisi; Nicholas Ayache (Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers, 2013)

Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data - Ján Margeta; Ezequiel Geremia; Antonio Criminisi; Nicholas Ayache (Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers, 2011)