Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Henry, Theophraste"'
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:
Rouhi, Rahimeh, Niyoteka, Stéphane, Carré, Alexandre, Achkar, Samir, Laurent, Pierre-Antoine, Ba, Mouhamadou Bachir, Veres, Cristina, Henry, Théophraste, Vakalopoulou, Maria, Sun, Roger, Espenel, Sophie, Mrissa, Linda, Laville, Adrien, Chargari, Cyrus, Deutsch, Eric, Robert, Charlotte
Publikováno v:
In Physics and Imaging in Radiation Oncology April 2024 30
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:
Henry, Theophraste, Carre, Alexandre, Lerousseau, Marvin, Estienne, Theo, Robert, Charlotte, Paragios, Nikos, Deutsch, Eric
Brain tumor segmentation is a critical task for patient's disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks, mainly with deep supervision and stochastic weight averaging, on the Multimo
Externí odkaz:
http://arxiv.org/abs/2011.01045
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:
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
Autor:
Dinnoo, Aina, Benmoussa, Nadia, Bidault, François, Brau, Jean Jacques, Tissot, Hubert, Temam, Stephane, Janot, François, Henry, Théophraste
Publikováno v:
In Journal of Stomatology oral and Maxillofacial Surgery September 2022 123(4):e192-e198
Autor:
Kyrilli, Spyridoula, Henry, Theophraste, Wilschanski, Michael, Fajac, Isabelle, Davies, Jane C, Jais, Jean-Philippe, Sermet-Gaudelus, Isabelle
Publikováno v:
In Journal of Cystic Fibrosis July 2020 19(4):620-626
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