Ján Margeta - RankMe

18 papers Journal 5Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images. Comput. Medical Imaging Graph. Paula López Diez, Josefine Vilsbøll Sundgaard, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen
2024	—	`conf`	Peridevice Leaks Following Left Atrial Appendage Occlusion - Analysis with Morphology Descriptive Centerlines and Explainable Graph Attention Network. CMRxRecon/MBAS/STACOM@MICCAI Paula López Diez, Ján Margeta, Javier Gómez-Herrero, Davorka Lulic, Yannick Willemen, Klaus F. Kofoed, Ole De Backer, Rasmus R. Paulsen
2024	—	`conf`	Spatio-Temporal Neural Distance Fields for Conditional Generative Modeling of the Heart. MICCAI (3) 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
2024	J	`jnl`	Spatio-temporal neural distance fields for conditional generative modeling of the heart. CoRR 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
2023	—	`conf`	Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation. MICCAI (5) Paula López Diez, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen
2022	—	`conf`	Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning. MLMI@MICCAI Ana-Teodora Radutoiu, François Patou, Ján Margeta, Rasmus R. Paulsen, Paula López Diez
2022	—	`conf`	Deep Reinforcement Learning for Detection of Abnormal Anatomies. NLDL Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen
2022	—	`conf`	Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. MICCAI (3) Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen
2021	—	`conf`	Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. MICCAI (4) Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen
2017	J	`jnl`	Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Ján Margeta, Antonio Criminisi, Rocío Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache
2015	J	`jnl`	Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 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
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	—	`conf`	Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache
2014	J	`jnl`	A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images. Medical Image Anal. 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
2014	—	`conf`	Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. MCV Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant
2014	—	`conf`	Recognizing Cardiac Magnetic Resonance Acquisition Planes. MIUA Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache
2013	—	`conf`	Decision Forests for Segmentation of the Left Atrium from 3D MRI. STACOM Ján Margeta, Kristin McLeod, Antonio Criminisi, Nicholas Ayache
2011	—	`conf`	Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. STACOM Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache