Publications of Jan Margeta

1. Jan Margeta. Machine Learning for Simplifying the Use of Cardiac Image Databases. Theses, Ecole Nationale Supérieure des Mines de Paris, December 2015. [bibtex-entry]

1. Raabid Hussain, Attila Frater, Roger Calixto, Chadlia Karoui, Jan Margeta, Zihao Wang, Michel Hoen, Hervé Delingette, François Patou, Charles Raffaelli, Clair Vandersteen, and Nicolas Guevara. Anatomical Variations of the Human Cochlea Using an Image Analysis Tool. Journal of Clinical Medicine, 12(2):509, January 2023. Keyword(s): statistical analysis, cochlear implantation, cochlear morphology, Medical Image Analysis, Cochlea Modeling, Otology. [bibtex-entry]



2. Jan Margeta, Raabid Hussain, Paula López Diez, Anika Morgenstern, Thomas Demarcy, Zihao Wang, Dan Gnansia, Octavio Martinez Manzanera, Clair Vandersteen, Hervé Delingette, Andreas Buechner, Thomas Lenarz, François Patou, and Nicolas Guevara. A Web-Based Automated Image Processing Research Platform for Cochlear Implantation-Related Studies. Journal of Clinical Medicine, 11(22):6640, November 2022. Keyword(s): cochlear implant, image analysis, computed tomography, machine learning, deep learning, image segmentation, 3D model, tonotopic mapping, visualization. [bibtex-entry]



3. Jan Margeta, Antonio Criminisi, Rocio Cabrera Lozoya, Daniel C. Lee, and Nicholas Ayache. Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, August 2015. Note: This is an electronic version of an article published inComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualizationon 13 August 2015, by Taylor & Francis, DOI: 10.1080/21681163.2015.1061448.Available online at: http://www.tandfonline.com/10.1080/21681163.2015.1061448. Keyword(s): Transfer learning, Deep learning, Fine-tuning, SSFP, Planes of acquisition, Machine learning, Cardiac magnetic resonance, Convolutional neural networks, Magnetic resonance, Cardiac imaging. [bibtex-entry]



4. Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, Michael B. Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, and Kawal S. Rhode. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460-1473, July 2015. Keyword(s): left atrial surface, Benchmark testing, fibrosis quantification, evaluation code, electroanatomical mapping systems, Educational institutions, diseases, computerised tomography, Left Atrial Segmentation Challenge, 3D CT datasets, anatomical regions, atrial fibrillation ablation guidance, automatic segmentations, Computed Tomography, physiological models, image segmentation, LA appendage trunk, LASC, LA segmentation, left atrial anatomy, left atrium, Magnetic Resonance Imaging, Measurement, medical image processing, MRI datasets, multiple input data, ground truth, pulmonary vein proximal sections, region growing approach, Shape, standardisation framework, statistical analysis, statistical models, biomedical MRI, biophysical modelling, blood vessels, cardiovascular disease, cardiovascular system. [bibtex-entry]



5. Avan Suinesiaputra, Brett Cowan, Ahmed O. Al-Agamy, Mustafa A. Alattar, Nicholas Ayache, Ahmed S. Fahmy, Ayman M. Khalifa, Pau Medrano-Gracia, Marie-Pierre Jolly, Alan H. Kadish, Daniel C. Lee, Jan Margeta, Simon K. Warfield, and Alistair Young. A Collaborative Resource to Build Consensus for Automated Left Ventricular Segmentation of Cardiac MR Images. Medical Image Analysis, 18(1):50-62, 2014. [bibtex-entry]

1. Héloïse Bleton, Jan Margeta, Herve Lombaert, Hervé Delingette, and Nicholas Ayache. Myocardial Infarct Localization using Neighborhood Approximation Forests. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, October 2015. Keyword(s): wall thickness, myocardial infarction, Neighbourhood Approximation Forests, Machine Learning. [bibtex-entry]



2. Rocio Cabrera Lozoya, Jan Margeta, Loic Le Folgoc, Yuki Komatsu, Berte Benjamin, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jais, Nicholas Ayache, and Maxime Sermesant. Confidence-based Training for Clinical Data Uncertainty in Image-based Prediction of Cardiac Ablation Targets. In bigMCV Workshop MICCAI 2014, Boston, United States, September 2014. [bibtex-entry]



3. Jan Margeta, Antonio Criminisi, Daniel C. Lee, and Nicholas Ayache. Recognizing cardiac magnetic resonance acquisition planes. In MIUA - Medical Image Understanding and Analysis Conference - 2014, London, United Kingdom, July 2014. Reyes-Aldasoro, Constantino Carlos and Slabaugh, Gregory. Keyword(s): random forests, cardiac MR. [bibtex-entry]



4. Jan Margeta, Kristin Mcleod, Antonio Criminisi, and Nicholas Ayache. Decision forests for segmentation of left atrium from 3D MRI. In 4th International Workshop on Statistical Atlases and Computational Models of the Heart, Nagoya, Japan, September 2013. [bibtex-entry]



5. Jan Margeta, Ezequiel Geremia, Antonio Criminisi, and Nicholas Ayache. Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. In Proceedings of STACOM Workshop at MICCAI 2011, September 2011. Springer. [bibtex-entry]

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