Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Yaël Balbastre"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
Segmentation of brain magnetic resonance images (MRI) into anatomical regions is a useful task in neuroimaging. Manual annotation is time consuming and expensive, so having a fully automated and general purpose brain segmentation algorithm is highly
Externí odkaz:
https://doaj.org/article/be715943daaa435b89e6bca1a5e60179
Autor:
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
Publikováno v:
NeuroImage, Vol 237, Iss , Pp 118206- (2021)
Most existing algorithms for automatic 3D morphometry of human brain MRI scans are designed for data with near-isotropic voxels at approximately 1 mm resolution, and frequently have contrast constraints as well-typically requiring T1-weighted images
Externí odkaz:
https://doaj.org/article/b4c5b586bd5e49b4ac557f0b07fce56e
Autor:
Zhenzhen You, Yaël Balbastre, Clément Bouvier, Anne-Sophie Hérard, Pauline Gipchtein, Philippe Hantraye, Caroline Jan, Nicolas Souedet, Thierry Delzescaux
Publikováno v:
Frontiers in Neuroanatomy, Vol 13 (2019)
In biomedical research, cell analysis is important to assess physiological and pathophysiological information. Virtual microscopy offers the unique possibility to study the compositions of tissues at a cellular scale. However, images acquired at such
Externí odkaz:
https://doaj.org/article/042b13b49ccc40798480ca78b1c024b8
Autor:
Yaël Balbastre, Denis Rivière, Nicolas Souedet, Clara Fischer, Anne-Sophie Hérard, Susannah Williams, Michel E. Vandenberghe, Julien Flament, Romina Aron-Badin, Philippe Hantraye, Jean-François Mangin, Thierry Delzescaux
Publikováno v:
Data in Brief, Vol 16, Iss , Pp 37-42 (2018)
Validation data for segmentation algorithms dedicated to preclinical images is fiercely lacking, especially when compared to the large number of databases of Human brain images and segmentations available to the academic community. Not only is such d
Externí odkaz:
https://doaj.org/article/bc941b4e6b6a472884191dbbee2186e4
Autor:
Michel E. Vandenberghe, Nicolas Souedet, Anne-Sophie Hérard, Anne-Marie Ayral, Florent Letronne, Yaël Balbastre, Elmahdi Sadouni, Philippe Hantraye, Marc Dhenain, Frédérique Frouin, Jean-Charles Lambert, Thierry Delzescaux
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Recently developed techniques to visualize immunostained tissues in 3D and in large samples have expanded the scope of microscopic investigations at the level of the whole brain. Here, we propose to adapt voxel-based statistical analysis to 3D high-r
Externí odkaz:
https://doaj.org/article/a8dd82f630da4444b84650b7df9ba473
Autor:
Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan
Publikováno v:
Magnetic Resonance in Medicine. 88:280-291
Autor:
Juan E. Iglesias, Benjamin Billot, Yaël Balbastre, Colin Magdamo, Steven E. Arnold, Sudeshna Das, Brian L. Edlow, Daniel C. Alexander, Polina Golland, Bruce Fischl
Publikováno v:
Science Advances. 9
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals across the world. These have the potential to revolutionize our understanding of many neurological diseases, but their morphometric analysis has not yet be
Autor:
Michela Azzarito, Yaël Balbastre, John Ashburner, Patrick Freund, Martina F. Callaghan, Maryam Seif, Claudia Blaiotta, Sreenath Pruthviraj Kyathanahally
Publikováno v:
Human Brain Mapping
To validate a simultaneous analysis tool for the brain and cervical cord embedded in the statistical parametric mapping (SPM) framework, we compared trauma‐induced macro‐ and microstructural changes in spinal cord injury (SCI) patients to control
Autor:
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Publikováno v:
Medical Image Understanding and Analysis ISBN: 9783031120527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30aefca21a81a4904a39583e6835c6e
https://doi.org/10.1007/978-3-031-12053-4_21
https://doi.org/10.1007/978-3-031-12053-4_21
Autor:
Hui Wang, Devani Cordero, Divya Varadarajan, Yaël Balbastre, Morgan Fogarty, Jackson Nolan, Ludovico Silvestri, Francesco S. Pavone, Irene Costantini, Patrick R. Hof, Vladislav Gavryusev, Caroline Magnain, Giacomo Mazzamuto, Kim Nestor, Luca Pesce, Erendira Garcia Pallares, Bruce Fischl, Jiarui Yang, Shuaibin Chang, Robert Frost, Jessie Laffey, Filippo Maria Castelli, Adrian V. Dalca, Anderson Chen I-Chun, Shih-Chi Chen, Jocelyn Mora, David A. Boas, Leah Morgan, Merina Varghese, Juan Eugenio Iglesias, Andre van der Kouwe, Bridget Wicinski, Kathryn Evancic, Sophia Raia, Matteo Roffilli, Marina Scardigli, Jean C. Augustinack, Matthew Vera, Matthew P. Frosch
Cells are not uniformly distributed in the human cerebral cortex. Rather, they are arranged in a regional and laminar fashion that span a range of scales. Here we demonstrate an innovative imaging and analysis pipeline to construct a reliable cell ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3235a3b8c655184f9872e51eedf1dbb
https://doi.org/10.1101/2021.10.20.464979
https://doi.org/10.1101/2021.10.20.464979