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Loic Themyr
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2020 – today
- 2023
- [b1]Loic Themyr:
Contexte global avec des Transformers pour la segmentation d'images médicales 3D. (Global context with transformers in 3D medical image segmentation). Hautes Écoles Sorbonne Arts et Métiers University, Paris, France, Brazil, 2023 - [c3]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. WACV 2023: 3223-3232 - [i3]William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins:
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. CoRR abs/2310.12646 (2023) - 2022
- [c2]Loic Themyr
, Clément Rambour
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI 2022: 121-130 - [i2]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory transformers for full context and high-resolution 3D Medical Segmentation. CoRR abs/2210.05313 (2022) - [i1]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. CoRR abs/2212.07890 (2022) - 2021
- [c1]Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. MLMI@MICCAI 2021: 267-276
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