Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Leticia, Rittner"'
Autor:
Livia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Leticia Rittner, Juan Eugenio Iglesias
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Segmentation of brain structures on magnetic resonance imaging (MRI) is a highly relevant neuroimaging topic, as it is a prerequisite for different analyses such as volumetry or shape analysis. Automated segmentation facilitates the study of
Externí odkaz:
https://doaj.org/article/f1b15220c10a4be4b9ca0ab5acca2dd9
Autor:
Livia Rodrigues, Thiago Junqueira Ribeiro Rezende, Guilherme Wertheimer, Yves Santos, Marcondes França, Leticia Rittner
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119741- (2022)
The hypothalamus is a small brain structure that plays essential roles in sleep regulation, body temperature control, and metabolic homeostasis. Hypothalamic structural abnormalities have been reported in neuropsychiatric disorders, such as schizophr
Externí odkaz:
https://doaj.org/article/3e041ba9eaed4776ae22e212b20fc241
Autor:
Gustavo Retuci Pinheiro, Lorenza Brusini, Diedre Carmo, Renata Prôa, Thays Abreu, Simone Appenzeller, Gloria Menegaz, Leticia Rittner
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5284 (2023)
The thalamus is a subcortical brain structure linked to the motor system. Since certain changes within this structure are related to diseases, such as multiple sclerosis and Parkinson’s, the characterization of the thalamus—e.g., shape assessment
Externí odkaz:
https://doaj.org/article/a604425627854fcb88e1904707187ca6
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2022)
Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the training, validation, and testing of advanced deep learning (DL)-based automated tools, including structural magnetic resonance (MR) image-based diagnostic and
Externí odkaz:
https://doaj.org/article/556e2ebcc37349c38ac82dbbdbbaf274
Autor:
Paulo Rogério Julio, Thais Caldeira, Gustavo Retuci Pinheiro, Carla Helena Capello, Renan Bazuco Fritolli, Roberto Marini, Fernando Cendes, Paula Teixeira Fernandes, Lilian T. L. Costallat, Leticia Rittner, Simone Appenzeller
Publikováno v:
Cells, Vol 12, Iss 3, p 355 (2023)
Central nervous system (CNS) involvement in childhood-onset systemic lupus erythematosus (cSLE) occurs in more than 50% of patients. Structural magnetic resonance imaging (MRI) has identified global cerebral atrophy, as well as the involvement of the
Externí odkaz:
https://doaj.org/article/1b028cd8b2844b70a66894eaf48192b0
Autor:
Simone Appenzeller, Danilo Rodrigues Pereira, Paulo Rogério Julio, Fabiano Reis, Leticia Rittner, Roberto Marini
Publikováno v:
The Lancet Child & Adolescent Health. 6:571-581
Neuropsychiatric manifestations occur frequently and are challenging to diagnose in childhood-onset systemic lupus erythematosus (SLE). Most patients with childhood-onset SLE have neuropsychiatric events in the first 2 years of disease. 30-70% of pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c16dabf177e35e50d56c8118527e10a3
https://doi.org/10.1016/s2352-4642(22)00157-2
https://doi.org/10.1016/s2352-4642(22)00157-2
Publikováno v:
IEEE Access, Vol 5, Pp 22421-22432 (2017)
The corpus callosum (CC) is a set of neural fibers in the cerebral cortex, responsible for facilitating inter-hemispheric communication. The CC structural characteristics appear as an essential element for studying healthy subjects and patients diagn
Externí odkaz:
https://doaj.org/article/543d8d13266249539b2a33d547cd1722
Publikováno v:
18th International Symposium on Medical Information Processing and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cd3ff5968cafa3b33a9cd61bc7314fe
https://doi.org/10.1117/12.2670362
https://doi.org/10.1117/12.2670362
Autor:
Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Rachid Deriche, Leticia Rittner, Massimiliano Calabrese, Ilaria Boscolo Galazzo, Gloria Menegaz
Publikováno v:
Explainable Deep Learning AI ISBN: 9780323960984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cf06c30a7f5b436e79d7346ddb66ba3
https://doi.org/10.1016/b978-0-32-396098-4.00012-0
https://doi.org/10.1016/b978-0-32-396098-4.00012-0
Autor:
Kamila Abdiyeva, Narendra Ahuja, Mathias Anneken, David Auber, Meghna P. Ayyar, Romaissa Beddiar, Jenny Benois-Pineau, Jesús Bescós, Ilaria Boscolo Galazzo, Romain Bourqui, Lorenza Brusini, Nadia Burkart, Massimiliano Calabrese, Federica Cruciani, Eoin Delaney, Rachid Deriche, Marcos Escudero-Viñolo, Andrija Gajić, Damien Garreau, Giorgio Giacinto, Romain Giot, Oleksii Gorokhovatskyi, Volodymyr Gorokhovatskyi, Derek Greene, Adrien Halnaut, Alexandre Hardouin, Marco F. Huber, Gaëlle Jouis, Mark T. Keane, Eoin M. Kenny, Alejandro López-Cifuentes, Martin Lukac, Gloria Menegaz, Harold Mouchère, Mourad Oussalah, Olena Peredrii, Dragutin Petkovic, Fabien Picarougne, Georges Quénot, Gustavo Retuci Pinheiro, Konrad Rieck, Leticia Rittner, Wojciech Samek, Michele Scalas, Francesco Setti, Manjunatha Veerappa, Nataliia Vlasenko, Akka Zemmari, Mauro Zucchelli
Publikováno v:
Explainable Deep Learning AI ISBN: 9780323960984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e692de26d1b3dc8488a52ea6e2244c
https://doi.org/10.1016/b978-0-32-396098-4.00005-3
https://doi.org/10.1016/b978-0-32-396098-4.00005-3