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Publications of Ezequiel Geremia

Thesis

  1. Ezequiel Geremia. Spatial random forests for brain lesions segmentation in MRIs and model-based tumor cell extrapolation. Theses, Université Nice Sophia Antipolis, January 2013. Keyword(s): Gliomas, Random forests, Multiple sclerosis, MRI, Segmentation, Regression, Cell density, IRM, Forêts aléatoires, Sclérose en plaques, Gliomes, Densité cellulaire. [bibtex-entry]


Articles in journal, book chapters

  1. Bjoern H Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gabor Szekely, Nicholas Ayache, and Polina Golland. A generative probabilistic model and discriminative extensions for brain lesion segmentation -- with application to tumor and stroke. IEEE Transactions on Medical Imaging, November 2015. [bibtex-entry]


  2. Bjoern Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elisabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian Avants, Nicholas Ayache, Patricia Buendia, Louis Collins, Nicolas Cordier, Jason Corso, Antonio Criminisi, Tilak Das, Hervé Delingette, Cagatay Demiralp, Christopher Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan Iftekharuddin, Raj Jena, Nigel John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, S. J. Price, Tammy Riklin-Raviv, Syed Reza, Michael Ryan, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos Silva, Nuno Sousa, Nagesh Subbanna, Gabor Szekely, Thomas Taylor, Owen Thomas, Nicholas Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen Van Leemput. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging, 34(10):1993-2024, October 2014. [bibtex-entry]


  3. Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, and Nicholas Ayache. Tumor Growth Parameters Estimation and Source Localization From a Unique Time Point: Application to Low-grade Gliomas. Computer Vision and Image Understanding, 117(3):238-249, 2013. [bibtex-entry]


  4. Ezequiel Geremia, Darko Zikic, Olivier Clatz, Bjoern H. Menze, Ben Glocker, Ender Konukoglu, Jamie Shotton, O. M. Thomas, S. J. Price, Tilak Das, Raj Jena, Nicholas Ayache, and Antonio Criminisi. Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI. In Criminisi, Antonio, Shotton, and J., editors, Decision Forests for Computer Vision and Medical Image Analysis, Advances in Computer Vision and Pattern Recognition, pages 245-260. Springer London, 2013. [bibtex-entry]


  5. Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel Magnetic Resonance Images. NeuroImage, 57(2):378-90, July 2011. [bibtex-entry]


Conference articles

  1. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1332-35, 2013. IEEE. [bibtex-entry]


  2. Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1130-32, 2013. IEEE. [bibtex-entry]


  3. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR Images. In MICCAI Challenge on Multimodal Brain Tumor Segmentation, LNCS, October 2012. Springer. [bibtex-entry]


  4. Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, and Nicholas Ayache. Brain tumor cell density estimation from multi-modal MR images based on a synthetic tumor growth model. In MICCAI Workshop on Medical Computer Vision, LNCS, October 2012. Springer. [bibtex-entry]


  5. Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Predicting the Location of Glioma Recurrence After a Resection Surgery. In Proceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12), LNCS, Nice, October 2012. Springer. [bibtex-entry]


  6. 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]


  7. Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



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Last modified: Fri Aug 7 12:30:05 2020
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