Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Alan Tucholka"'
Autor:
Jimmy Ghaziri, Phillip Fei, Alan Tucholka, Sami Obaid, Olivier Boucher, Isabelle Rouleau, Dang K. Nguyen
Publikováno v:
Brain Sciences, Vol 14, Iss 8, p 742 (2024)
The insula is often considered the fifth lobe of the brain and is increasingly recognized as one of the most connected regions in the brain, with widespread connections to cortical and subcortical structures. As a follow-up to our previous tractograp
Externí odkaz:
https://doaj.org/article/5ae8426114e744698e9c74a839cc0483
Autor:
Thomas Mistral, Pauline Roca, Christophe Maggia, Alan Tucholka, Florence Forbes, Senan Doyle, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Adrian Kastler, Irène Troprès, Emmanuel L. Barbier, Jean-François Payen, Michel Dojat
Publikováno v:
Frontiers in Neurology, Vol 12 (2022)
ObjectivesDetermining the volume of brain lesions after trauma is challenging. Manual delineation is observer-dependent and time-consuming and cannot therefore be used in routine practice. The study aimed to evaluate the feasibility of an automated a
Externí odkaz:
https://doaj.org/article/6c83eb321b714455bd05a3c164bdaf1f
Autor:
Carles Falcon, Alan Tucholka, Gemma C. Monté-Rubio, Raffaele Cacciaglia, Grégory Operto, Lorena Rami, Juan Domingo Gispert, José Luis Molinuevo
Publikováno v:
NeuroImage: Clinical, Vol 19, Iss , Pp 190-201 (2018)
Alzheimer's disease (AD) is characterized by an accumulation of β-amyloid (Aβ42) accompanied by brain atrophy and cognitive decline. Several recent studies have shown that Aβ42 accumulation is associated with gray matter (GM) changes prior to the
Externí odkaz:
https://doaj.org/article/8ac713882faf44efabbeb607b0f4c6cd
Autor:
Sami Obaid, Alan Tucholka, Jimmy Ghaziri, Pierre-Marc Jodoin, Félix Morency, Maxime Descoteaux, Alain Bouthillier, Dang K. Nguyen
Publikováno v:
NeuroImage: Clinical, Vol 19, Iss , Pp 727-733 (2018)
Background: In temporal lobe epilepsy (TLE), advanced neuroimaging techniques reveal anomalies extending beyond the temporal lobe such as thinning of fronto-central cortices. Operculo-insular epilepsy (OIE) is an under-recognized and poorly character
Externí odkaz:
https://doaj.org/article/ffac8fa02b7d485494f1bbe6c2b5a439
Autor:
Murat Demirtaş, Carles Falcon, Alan Tucholka, Juan Domingo Gispert, José Luis Molinuevo, Gustavo Deco
Publikováno v:
NeuroImage: Clinical, Vol 16, Iss , Pp 343-354 (2017)
Alzheimer's disease (AD) is the most common dementia with dramatic consequences. The research in structural and functional neuroimaging showed altered brain connectivity in AD. In this study, we investigated the whole-brain resting state functional c
Externí odkaz:
https://doaj.org/article/c284ee6437174565af64d742e9d8a76f
Autor:
Stavros Skouras, Carles Falcon, Alan Tucholka, Lorena Rami, Raquel Sanchez-Valle, Albert Lladó, Juan D. Gispert, José Luís Molinuevo
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
Background: Mechanisms of functional compensation throughout the progression of Alzheimer's disease (AD) remain largely underspecified. By investigating functional connectomics in relation to cerebrospinal fluid (CSF) biomarkers across the pathophysi
Externí odkaz:
https://doaj.org/article/910cc532d03b4251a3d45eecb2d24062
Autor:
Linda Marrakchi-Kacem, Christine Delmaire, Pamela Guevara, Fabrice Poupon, Sophie Lecomte, Alan Tucholka, Pauline Roca, Jérôme Yelnik, Alexandra Durr, Jean-François Mangin, Stéphane Lehéricy, Cyril Poupon
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e53135 (2013)
Huntington disease (HD) is associated with early and severe damage to the basal ganglia and particularly the striatum. We investigated cortico-striatal connectivity modifications occurring in HD patients using a novel approach which focuses on the pr
Externí odkaz:
https://doaj.org/article/6ef655942a9d46dd8b1bf7f943ea6c18
Publikováno v:
Lecture Notes in Computer Science
iMIMIC 2022-Workshop on Interpretability of Machine Intelligence in Medical Image Computing
iMIMIC 2022-Workshop on Interpretability of Machine Intelligence in Medical Image Computing, Sep 2022, Singapore, Singapore. pp.61-70, ⟨10.1007/978-3-031-17976-1_6⟩
Lecture Notes in Computer Science ISBN: 9783031179754
iMIMIC 2022-Workshop on Interpretability of Machine Intelligence in Medical Image Computing
iMIMIC 2022-Workshop on Interpretability of Machine Intelligence in Medical Image Computing, Sep 2022, Singapore, Singapore. pp.61-70, ⟨10.1007/978-3-031-17976-1_6⟩
Lecture Notes in Computer Science ISBN: 9783031179754
Deep neural networks have become the gold-standard approach for the automated segmentation of 3D medical images. Their full acceptance by clinicians remains however hampered by the lack of intelligible uncertainty assessment of the provided results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f04f19d26e93d64b24b2cd6067088b
Autor:
Alan Tucholka, Françoise S. Maheu, Valérie La Buissonnière-Ariza, Manpreet K. Singh, Ian H. Gotlib, Jean R. Séguin, Lara C. Foland-Ross, Richard E. Tremblay, Sabrina Suffren, Michel Boivin, Franco Lepore, Marouane Nassim
Publikováno v:
Development and psychopathology. 34(3)
Childhood adversity and anxiety have been associated with increased risk for internalizing disorders later in life and with a range of brain structural abnormalities. However, few studies have examined the link between harsh parenting practices and b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70814fbb054d01fbde4df3bc72c42a16
https://pubmed.ncbi.nlm.nih.gov/33745487
https://pubmed.ncbi.nlm.nih.gov/33745487
Autor:
Jean-François Payen, Alexandre Krainik, Kremer S, Christophe Maggia, Irène Troprès, Senan Doyle, Schmitt E, Thomas Mistral, Michel Dojat, Emmanuel L. Barbier, Alan Tucholka, P Roca, Adrian Kastler, Galanaud D, Florence Forbes
Publikováno v:
Frontiers in Neurology
Frontiers in Neurology, Frontiers, In press, section Neurotrauma, ⟨10.1101/2021.04.24.21255599⟩
Frontiers in Neurology, Frontiers, In press, section Neurotrauma, ⟨10.1101/2021.04.24.21255599⟩
ObjectivesThe determination of the volume of brain lesions after trauma is challenging. Manual delineation is observer-dependent and time-consuming which inhibits the practice in clinical routine. We propose and evaluate an automated atlas-based quan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f86661cddbd904b9c0ed7eddae9e0d92
https://hal.archives-ouvertes.fr/hal-03498127
https://hal.archives-ouvertes.fr/hal-03498127