Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Claude J. Bajada"'
Autor:
Maeva Bugain, Yana Dimech, Natalia Torzhenskaya, Michel Thiebaut de Schotten, Svenja Caspers, Richard Muscat, Claude J. Bajada
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
Bugain et al perform a virtual dissection and reconstruct the occipital intralobar tracts using diffusion MRI tractography. They provide a modern anatomical depiction of what had originally been described by the Dejerines in the 19th century, as well
Externí odkaz:
https://doaj.org/article/af3060317f7c40888577e9bdc63b8b28
Publikováno v:
IEEE Access, Vol 9, Pp 125523-125539 (2021)
The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain. U-Net is
Externí odkaz:
https://doaj.org/article/6ad2fe24bc304cee9419d0263a48f06c
Autor:
Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi-Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick J. Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attyé, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M.W. Tax, Ping-Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jerome Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramírez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A.M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Perez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118502- (2021)
White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability i
Externí odkaz:
https://doaj.org/article/d2f43c7d890749b4be784f2e814a17e8
Autor:
Claude J. Bajada, Lucas Q. Costa Campos, Svenja Caspers, Richard Muscat, Geoff J.M. Parker, Matthew A. Lambon Ralph, Lauren L. Cloutman, Nelson J. Trujillo-Barreto
Publikováno v:
NeuroImage, Vol 221, Iss , Pp 117140- (2020)
There has been an increasing interest in examining organisational principles of the cerebral cortex (and subcortical regions) using different MRI features such as structural or functional connectivity. Despite the widespread interest, introductory tu
Externí odkaz:
https://doaj.org/article/31ce733187f5412697ec119cc9d206cb
In this work, we take a closer look at the Vogt-Bailey (VB) index, proposed in Ref. [1] as a tool for studying local functional homogeneity in the human cortex. We interpret the VB index in terms of the minimum ratio cut, a parameter that indicates w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de59eb502794d40021dfc513295fcd2
https://doi.org/10.1101/2022.10.14.511925
https://doi.org/10.1101/2022.10.14.511925
Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth
Autor:
Paola Galdi, Manuel Blesa Cabez, Christine Farrugia, Kadi Vaher, Logan ZJ Williams, Gemma Sullivan, David Q Stoye, Alan J Quigley, Antonios Makropoulos, Michael J Thrippleton, Mark E Bastin, Hilary Richardson, Heather Whalley, A David Edwards, Claude J Bajada, Emma C Robinson, James P Boardman
The early life environment programmes cortical architecture and cognition across the life course. A measure of cortical organisation that integrates information from multi-modal MRI and is unbound by arbitrary parcellations has proven elusive, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab8ad5ea2f23458180586072f5b46a93
https://doi.org/10.1101/2022.09.15.508133
https://doi.org/10.1101/2022.09.15.508133
Publikováno v:
NeuroImage, Vol. 264
NeuroImage 264, 119738-(2022). doi:10.1016/j.neuroimage.2022.119738
NeuroImage 264, 119738-(2022). doi:10.1016/j.neuroimage.2022.119738
Being on the bleeding edge of research requires the use of new and regularly updated software. The result is the occasional and inevitable occurrence of bugs. In the following work we present a case study where a feature request introduced a bug in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a813b3eeb276c86a53850da85c01521
https://www.um.edu.mt/library/oar/handle/123456789/103723
https://www.um.edu.mt/library/oar/handle/123456789/103723
Autor:
Yana Dimech, Maeva Bugain, Richard Muscat, Svenja Caspers, Natalia Torzhenskaya, Michel Thiebaut de Schotten, Claude J. Bajada
Publikováno v:
Communications Biology
Communications Biology, 2021, 4 (1), pp.433. ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Nature Publishing Group, 2021, 4 (1), ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Nature Publishing Group, 2021, 4 (1), pp.433. ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
Communications biology 4(1), 433 (2021). doi:10.1038/s42003-021-01935-3
Communications Biology, 2021, 4 (1), pp.433. ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Nature Publishing Group, 2021, 4 (1), ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Nature Publishing Group, 2021, 4 (1), pp.433. ⟨10.1038/s42003-021-01935-3⟩
Communications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
Communications biology 4(1), 433 (2021). doi:10.1038/s42003-021-01935-3
Diffusion MRI paired with tractography has facilitated a non-invasive exploration of many association, projection, and commissural fiber tracts. However, there is still a scarcity of research studies related to intralobar association fibers. The Deje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1f33f6893ddf2eb99c564cd37373223
https://doi.org/10.1038/s42003-021-01935-3
https://doi.org/10.1038/s42003-021-01935-3
The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain. U-Net is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb5c1c4025e9ba4b55cddee97a1a10b2
https://www.um.edu.mt/library/oar/handle/123456789/81045
https://www.um.edu.mt/library/oar/handle/123456789/81045
In this work, we identify a problem with the process of volume-to-surface mapping of functional Magnetic Resonance Imaging (fMRI) data when interested in investigating local connectivity. We show that neighborhood correlations on the surface of the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c36bfc5e32004223d212a8f45be0737f
https://doi.org/10.1101/2020.11.09.373860
https://doi.org/10.1101/2020.11.09.373860