Výsledky vyhledávání - "Rubeaux, Mathieu"

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Autor: Hering, Alessa, Hansen, Lasse, Mok, Tony C. W., Chung, Albert C. S., Siebert, Hanna, Häger, Stephanie, Lange, Annkristin, Kuckertz, Sven, Heldmann, Stefan, Shao, Wei, Vesal, Sulaiman, Rusu, Mirabela, Sonn, Geoffrey, Estienne, Théo, Vakalopoulou, Maria, Han, Luyi, Huang, Yunzhi, Yap, Pew-Thian, Brudfors, Mikael, Balbastre, Yaël, Joutard, Samuel, Modat, Marc, Lifshitz, Gal, Raviv, Dan, Lv, Jinxin, Li, Qiang, Jaouen, Vincent, Visvikis, Dimitris, Fourcade, Constance, Rubeaux, Mathieu, Pan, Wentao, Xu, Zhe, Jian, Bailiang, De Benetti, Francesca, Wodzinski, Marek, Gunnarsson, Niklas, Sjölund, Jens, Grzech, Daniel, Qiu, Huaqi, Li, Zeju, Thorley, Alexander, Duan, Jinming, Großbröhmer, Christoph, Hoopes, Andrew, Reinertsen, Ingerid, Xiao, Yiming, Landman, Bennett, Huo, Yuankai, Murphy, Keelin, Lessmann, Nikolas, van Ginneken, Bram, Dalca, Adrian V., Heinrich, Mattias P.

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically releva

Externí odkaz: http://arxiv.org/abs/2112.04489

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Deformable image registration with deep network priors: a study on longitudinal PET images

Autor: Fourcade, Constance, Ferrer, Ludovic, Moreau, Noemie, Santini, Gianmarco, Brennan, Aishlinn, Rousseau, Caroline, Lacombe, Marie, Fleury, Vincent, Colombié, Mathilde, Jézéquel, Pascal, Campone, Mario, Rubeaux, Mathieu, Mateus, Diana

Longitudinal image registration is challenging and has not yet benefited from major performance improvements thanks to deep-learning. Inspired by Deep Image Prior, this paper introduces a different use of deep architectures as regularizers to tackle

Externí odkaz: http://arxiv.org/abs/2111.11873

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Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge

Autor: Santini, Gianmarco, Moreau, Noémie, Rubeaux, Mathieu

Precise characterization of the kidney and kidney tumor characteristics is of outmost importance in the context of kidney cancer treatment, especially for nephron sparing surgery which requires a precise localization of the tissues to be removed. The

Externí odkaz: http://arxiv.org/abs/1909.00735

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Dissertation/ Thesis

Approximation de l'Information Mutuelle basée sur le développement d'Edgeworth : application au recalage d'images médicales.

Autor: Rubeaux, Mathieu

Dans le cadre du recalage d'images basé sur l'information d'intensité, l'Information Mutuelle (IM) est couramment utilisée comme mesure de similarité. Cette mesure est en outre particulièrement adaptée au recalage d'images médicales multimodal

Externí odkaz: http://tel.archives-ouvertes.fr/tel-00632128
http://tel.archives-ouvertes.fr/docs/00/63/21/28/PDF/These_Mathieu_Rubeaux.pdf

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