Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Léo Lebrat"'
Autor:
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew Bradley, Olivier Salvado
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25dfe591d3089bfe1acfe53a44a93ab7
https://doi.org/10.1109/icassp49357.2023.10097093
https://doi.org/10.1109/icassp49357.2023.10097093
Autor:
Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08bc14afe752927e968eae2caa99a3d
https://doi.org/10.1007/978-3-031-16443-9_48
https://doi.org/10.1007/978-3-031-16443-9_48
Autor:
Filip Rusak, Rodrigo Santa Cruz, Léo Lebrat, Ondrej Hlinka, Jurgen Fripp, Elliot Smith, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat
Publikováno v:
Medical image analysis. 82
Cortical thickness (CTh) is routinely used to quantify grey matter atrophy as it is a significant biomarker in studying neurodegenerative and neurological conditions. Clinical studies commonly employ one of several available CTh estimation software t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86463919d1d2250f1ad241e0c28d4181
https://pubmed.ncbi.nlm.nih.gov/36126404
https://pubmed.ncbi.nlm.nih.gov/36126404
Autor:
Andrew P. Bradley, Salamata Konate, Jurgen Fripp, Rodrigo Santa Cruz, Vincent Dore, Pierrick Bourgeat, Léo Lebrat, Clinton Fookes, Olivier Salvado
Publikováno v:
ISBI
Despite the pervasive growth of deep neural networks in medical image analysis, methods to monitor and assess network outputs, such as segmentation or regression, remain limited. In this paper, we introduce SMOCAM (SMOoth Conditional Attention Mask),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4d69617c9c87027954c3c9ff467980
https://doi.org/10.1109/isbi48211.2021.9433972
https://doi.org/10.1109/isbi48211.2021.9433972
Publikováno v:
CVPR
Recent advances in geometric deep-learning introduce complex computational challenges for evaluating the distance between meshes. From a mesh model, point clouds are necessary along with a robust distance metric to assess surface quality or as part o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38bdbc40f297e86b342374c92faedcd1
Autor:
Jurgen Fripp, Léo Lebrat, Clinton Fookes, Olivier Salvado, Rodrigo Santa Cruz, Pierrick Bourgeat
Publikováno v:
WACV
The study of neurodegenerative diseases relies on the reconstruction and analysis of the brain cortex from magnetic resonance imaging (MRI). Traditional frameworks for this task like FreeSurfer demand lengthy runtimes, while its accelerated variant F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36783815bb3a8218a364aec49a2ad3aa
http://arxiv.org/abs/2010.11423
http://arxiv.org/abs/2010.11423
Autor:
Vincent Dore, Jurgen Fripp, Rodrigo Santa Cruz, Clinton Fookes, Léo Lebrat, Olivier Salvado, Jason Dowling, Pierrick Bourgeat
Publikováno v:
ISBI
Brain morphometry from magnetic resonance imaging (MRI) is a consolidated biomarker for many neurodegenerative diseases. Recent advances in this domain indicate that deep convolutional neural networks can infer morphometric measurements within a few
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0349b54eb7fcade360be7dcc5c08aad0
http://arxiv.org/abs/2009.03303
http://arxiv.org/abs/2009.03303
Publikováno v:
Numerische Mathematik
Numerische Mathematik, 2019, 141 (2), pp.429-453
Numerische Mathematik, Springer Verlag, 2019, 141 (2), pp.429-453
HAL
Numerische Mathematik, 2019, 141 (2), pp.429-453
Numerische Mathematik, Springer Verlag, 2019, 141 (2), pp.429-453
HAL
International audience; This paper aims at determining under which conditions the semi-discrete optimal transport is twice dierentiable with respect to the parameters of the discrete measure and exhibits numerical applications. The discussion focuses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885311c3aa06f2c5bbedffe1a72ecb7f
https://hal.science/hal-01721681
https://hal.science/hal-01721681
Publikováno v:
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2020, 42 (4), pp.A2088-A2107
SIAM Journal on Scientific Computing, 2020, 42 (4), pp.A2088-A2107
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2020, 42 (4), pp.A2088-A2107
SIAM Journal on Scientific Computing, 2020, 42 (4), pp.A2088-A2107
International audience; This paper deals with the 3 4-discrete 2-Wasserstein optimal transport between two measures, where one is supported by a set of segment and the other one is supported by a set of Dirac masses. We select the most suitable optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8c071c500812e10ab777650cf07e30
http://arxiv.org/abs/1806.09537
http://arxiv.org/abs/1806.09537
Autor:
Saba Momeni, Amir Fazlollahi, Leo Lebrat, Paul Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvado
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Cerebral microbleeds (CMB) are increasingly present with aging and can reveal vascular pathologies associated with neurodegeneration. Deep learning-based classifiers can detect and quantify CMB from MRI, such as susceptibility imaging, but are challe
Externí odkaz:
https://doaj.org/article/be377bc1129844028b4b45af3d5959ba