Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Benjamin Billot"'
Autor:
Harshvardhan Gazula, Henry FJ Tregidgo, Benjamin Billot, Yael Balbastre, Jonathan Williams-Ramirez, Rogeny Herisse, Lucas J Deden-Binder, Adria Casamitjana, Erica J Melief, Caitlin S Latimer, Mitchell D Kilgore, Mark Montine, Eleanor Robinson, Emily Blackburn, Michael S Marshall, Theresa R Connors, Derek H Oakley, Matthew P Frosch, Sean I Young, Koen Van Leemput, Adrian V Dalca, Bruce Fischl, Christine L MacDonald, C Dirk Keene, Bradley T Hyman, Juan E Iglesias
Publikováno v:
eLife, Vol 12 (2024)
We present open-source tools for three-dimensional (3D) analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis. Our tools can: (1) 3D reconstruct a volume fro
Externí odkaz:
https://doaj.org/article/bee5031ed3ac4569bd31db0c5630fc96
Autor:
Douglas N. Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C. Augustinack
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118610- (2021)
A tool was developed to automatically segment several subcortical limbic structures (nucleus accumbens, basal forebrain, septal nuclei, hypothalamus without mammillary bodies, the mammillary bodies, and fornix) using only a T1-weighted MRI as input.
Externí odkaz:
https://doaj.org/article/6aa40cba0d274d649b2e69b4cb81fb1e
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:
Benjamin Billot, Martina Bocchetta, Emily Todd, Adrian V. Dalca, Jonathan D. Rohrer, Juan Eugenio Iglesias
Publikováno v:
NeuroImage, Vol 223, Iss , Pp 117287- (2020)
Despite the crucial role of the hypothalamus in the regulation of the human body, neuroimaging studies of this structure and its nuclei are scarce. Such scarcity partially stems from the lack of automated segmentation tools, since manual delineation
Externí odkaz:
https://doaj.org/article/df613007d5af4ebba85097203ead06b7
Autor:
Malte Hoffmann, Douglas N. Greve, Benjamin Billot, Juan Eugenio Iglesias, Adrian V. Dalca, Bruce Fischl
Publikováno v:
IEEE Transactions on Medical Imaging. 41:543-558
We introduce a strategy for learning image registration without acquired imaging data, producing powerful networks agnostic to contrast introduced by magnetic resonance imaging (MRI). While classical registration methods accurately estimate the spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018bc0593b1a9fd6a7f1fa89484c3b93
https://doi.org/10.1109/tmi.2021.3116879
https://doi.org/10.1109/tmi.2021.3116879
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11ea5c3de2b608ca68524cd540f7e9e0
https://doi.org/10.1126/sciadv.add3607
https://doi.org/10.1126/sciadv.add3607
Autor:
Jenna M. Schabdach, J. Eric Schmitt, Susan Sotardi, Arastoo Vossough, Savvas Andronikou, Timothy P. Roberts, Hao Huang, Viveknarayanan Padmanabhan, Alfredo Oritz-Rosa, Margaret Gardner, Sydney Covitz, Saashi A. Bedford, Ayan Mandal, Barbara H. Chaiyachati, Simon R. White, Ed Bullmore, Richard A.I. Bethlehem, Russell T. Shinohara, Benjamin Billot, J. Eugenio Iglesias, Satrajit Ghosh, Raquel E. Gur, Theodore D. Satterthwaite, David Roalf, Jakob Seidlitz, Aaron Alexander-Bloch
BackgroundBrain MRIs acquired in clinical settings represent a valuable and underutilized scientific resource for investigating neurodevelopment. Utilization of these clinical scans has been limited because of their clinical acquisition and technical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f06b7710cfb5fbd2a0ab4fe6cc81d7cc
https://doi.org/10.1101/2023.01.13.23284533
https://doi.org/10.1101/2023.01.13.23284533
Autor:
Benjamin Billot, Colin Magdamo, You Cheng, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyse such scans could transform neuroimaging research. Yet, their potential r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e255521d1c8aec82e1b755ea9dc2bdc
http://arxiv.org/abs/2209.02032
http://arxiv.org/abs/2209.02032
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f00d5958cc8dc8f7d70a34079887e58f
https://doi.org/10.1007/978-3-031-16443-9_52
https://doi.org/10.1007/978-3-031-16443-9_52
Autor:
Bruce Fischl, Juan Eugenio Iglesias, Devani Cordero, Jean C. Augustinack, Douglas N. Greve, Adrian V. Dalca, Benjamin Billot, Malte Hoffmann, Andrew Hoopes
Publikováno v:
NeuroImage, Vol 244, Iss, Pp 118610-(2021)
NeuroImage
NeuroImage
A tool was developed to automatically segment several subcortical limbic structures (nucleus accumbens, basal forebrain, septal nuclei, hypothalamus without mammillary bodies, the mammillary bodies, and fornix) using only a T1-weighted MRI as input.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b693fa3ef63de5d08b4b8aeffd854b
http://www.sciencedirect.com/science/article/pii/S1053811921008831
http://www.sciencedirect.com/science/article/pii/S1053811921008831