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2020 – today
- 2024
[j4]Paula López Diez
, Josefine Vilsbøll Sundgaard, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen:
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images. Comput. Medical Imaging Graph. 113: 102343 (2024)- [c11]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:
Spatio-Temporal Neural Distance Fields for Conditional Generative Modeling of the Heart. MICCAI (3) 2024: 422-432 - [i1]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:
Spatio-temporal neural distance fields for conditional generative modeling of the heart. CoRR abs/2407.10663 (2024) - 2023
- [c10]Paula López Diez, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen:
Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation. MICCAI (5) 2023: 652-662 - [d1]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, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
nilearn. Zenodo, 2023
- 2022
- [c9]Ana-Teodora Radutoiu, François Patou, Ján Margeta, Rasmus R. Paulsen, Paula López Diez:
Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning. MLMI@MICCAI 2022: 416-424 - [c8]Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. MICCAI (3) 2022: 697-706 - [c7]Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Abnormal Anatomies. NLDL 2022 - 2021
- [c6]Paula López Diez, Josefine Vilsbøll Sundgaard, François Patou, Ján Margeta, Rasmus Reinhold Paulsen:
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. MICCAI (4) 2021: 519-528
2010 – 2019
- 2017
- [j3]Ján Margeta, Antonio Criminisi, Rocío Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache:
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 339-349 (2017) - 2015
- [b1]Ján Margeta:
Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques). Mines ParisTech, France, 2015 - [j2]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:
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - [c5]Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache:
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI 2015: 108-116 - 2014
- [j1]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:
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images. Medical Image Anal. 18(1): 50-62 (2014) - [c4]Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. MCV 2014: 148-159 - [c3]Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache:
Recognizing Cardiac Magnetic Resonance Acquisition Planes. MIUA 2014: 125-130 - 2013
- [c2]Ján Margeta, Kristin McLeod, Antonio Criminisi, Nicholas Ayache:
Decision Forests for Segmentation of the Left Atrium from 3D MRI. STACOM 2013: 49-56 - 2011
- [c1]Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache:
Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. STACOM 2011: 109-119
Coauthor Index
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