Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Battistella, Enzo"'
Autor:
Battistella, Enzo, English, Sean, Green, Robert, Joslyn, Cliff, Lagoda, Evgeniya, Magnan, Van, Myers, Audun, Nash, Evan D., Robinson, Michael
Hypergraphs have been a recent focus of study in mathematical data science as a tool to understand complex networks with high-order connections. One question of particular relevance is how to leverage information carried in hypergraph attributions wh
Externí odkaz:
http://arxiv.org/abs/2405.04559
Autor:
Estienne, Théo, Vakalopoulou, Maria, Battistella, Enzo, Henry, Theophraste, Lerousseau, Marvin, Leroy, Amaury, Paragios, Nikos, Deutsch, Eric
Deformable registration consists of finding the best dense correspondence between two different images. Many algorithms have been published, but the clinical application was made difficult by the high calculation time needed to solve the optimisation
Externí odkaz:
http://arxiv.org/abs/2111.12123
Autor:
Estienne, Théo, Vakalopoulou, Maria, Christodoulidis, Stergios, Battistella, Enzo, Henry, Théophraste, Lerousseau, Marvin, Leroy, Amaury, Chassagnon, Guillaume, Revel, Marie-Pierre, Paragios, Nikos, Deutsch, Eric
Explainability of deep neural networks is one of the most challenging and interesting problems in the field. In this study, we investigate the topic focusing on the interpretability of deep learning-based registration methods. In particular, with the
Externí odkaz:
http://arxiv.org/abs/2107.11238
Autor:
Lerousseau, Marvin, Classe, Marion, Battistella, Enzo, Estienne, Théo, Henry, Théophraste, Leroy, Amaury, Sun, Roger, Vakalopoulou, Maria, Scoazec, Jean-Yves, Deutsch, Eric, Paragios, Nikos
The vast majority of semantic segmentation approaches rely on pixel-level annotations that are tedious and time consuming to obtain and suffer from significant inter and intra-expert variability. To address these issues, recent approaches have levera
Externí odkaz:
http://arxiv.org/abs/2105.04269
Autor:
Battistella, Enzo, Vakalopoulou, Maria, Sun, Roger, Estienne, Théo, Lerousseau, Marvin, Nikolaev, Sergey, Andres, Emilie Alvarez, Carré, Alexandre, Niyoteka, Stéphane, Robert, Charlotte, Paragios, Nikos, Deutsch, Eric
Precision medicine is a paradigm shift in healthcare relying heavily on genomics data. However, the complexity of biological interactions, the large number of genes as well as the lack of comparisons on the analysis of data, remain a tremendous bottl
Externí odkaz:
http://arxiv.org/abs/2102.07713
Autor:
Estienne, Théo, Vakalopoulou, Maria, Battistella, Enzo, Carré, Alexandre, Henry, Théophraste, Lerousseau, Marvin, Robert, Charlotte, Paragios, Nikos, Deutsch, Eric
Publikováno v:
In: Shusharina N., Heinrich M.P., Huang R. (eds) Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. MICCAI 2020. Lecture Notes in Computer Science, vol 12587. Springer, Cham
Image registration is one of the most challenging problems in medical image analysis. In the recent years, deep learning based approaches became quite popular, providing fast and performing registration strategies. In this short paper, we summarise o
Externí odkaz:
http://arxiv.org/abs/2010.10897
Autor:
Chassagnon, Guillaume, Vakalopoulou, Maria, Battistella, Enzo, Christodoulidis, Stergios, Hoang-Thi, Trieu-Nghi, Dangeard, Severine, Deutsch, Eric, Andre, Fabrice, Guillo, Enora, Halm, Nara, Hajj, Stefany El, Bompard, Florian, Neveu, Sophie, Hani, Chahinez, Saab, Ines, Campredon, Alienor, Koulakian, Hasmik, Bennani, Souhail, Freche, Gael, Lombard, Aurelien, Fournier, Laure, Monnier, Hippolyte, Grand, Teodor, Gregory, Jules, Khalil, Antoine, Mahdjoub, Elyas, Brillet, Pierre-Yves, Ba, Stephane Tran, Bousson, Valerie, Revel, Marie-Pierre, Paragios, Nikos
Chest computed tomography (CT) is widely used for the management of Coronavirus disease 2019 (COVID-19) pneumonia because of its availability and rapidity. The standard of reference for confirming COVID-19 relies on microbiological tests but these te
Externí odkaz:
http://arxiv.org/abs/2004.12852
Autor:
Lerousseau, Marvin, Vakalopoulou, Maria, Classe, Marion, Adam, Julien, Battistella, Enzo, Carré, Alexandre, Estienne, Théo, Henry, Théophraste, Deutsch, Eric, Paragios, Nikos
Histopathological image segmentation is a challenging and important topic in medical imaging with tremendous potential impact in clinical practice. State of the art methods rely on hand-crafted annotations which hinder clinical translation since hist
Externí odkaz:
http://arxiv.org/abs/2004.05024
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Publikováno v:
In Pattern Recognition November 2024 155