Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. - Ján Margeta; Ezequiel Geremia; Antonio Criminisi; Nicholas Ayache (STACOM, 2011)

Decision Forests for Segmentation of the Left Atrium from 3D MRI. - Ján Margeta; Kristin McLeod; Antonio Criminisi; Nicholas Ayache (STACOM, 2013)

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 (MCV, 2014)

Recognizing Cardiac Magnetic Resonance Acquisition Planes. - Ján Margeta; Antonio Criminisi; Daniel C. Lee 002; Nicholas Ayache (MIUA, 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 002; Ján Margeta; et al. (Medical Image Anal., 2014)

Myocardial Infarct Localization Using Neighbourhood Approximation Forests. - Héloïse Bleton; Ján Margeta; Hervé Lombaert; Hervé Delingette; Nicholas Ayache (STACOM@MICCAI, 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 001; et al. (IEEE Trans. Medical Imaging, 2015)

Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques). - Ján Margeta (2015)

Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. - Ján Margeta; Antonio Criminisi; Rocío Cabrera Lozoya; Daniel C. Lee 002; Nicholas Ayache (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

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 (MICCAI (4), 2021)

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 (MICCAI (3), 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 (MLMI@MICCAI, 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 (NLDL, 2022)

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 (MICCAI (5), 2023)

nilearn. - 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)

Peridevice Leaks Following Left Atrial Appendage Occlusion - Analysis with Morphology Descriptive Centerlines and Explainable Graph Attention Network. - Paula López Diez; Ján Margeta; Javier Gómez-Herrero; Davorka Lulic; Yannick Willemen; Klaus F. Kofoed; Ole De Backer; Rasmus R. Paulsen (CMRxRecon/MBAS/STACOM@MICCAI, 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 001; Rasmus R. Paulsen (MICCAI (3), 2024)

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)

nilearn. - 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)

nilearn. - 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)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)