Zobrazeno 1 - 10 of 186 pro vyhledávání: '"Multiple sclerosis lesion"'
1
Akademický článek
Pathology of myelin oligodendrocyte glycoprotein antibody-associated disease: a comparison with multiple sclerosis and aquaporin 4 antibody-positive neuromyelitis optica spectrum disorders
Autor: Yoshiki Takai, Tatsuro Misu, Kazuo Fujihara, Masashi Aoki
Publikováno v: Frontiers in Neurology, Vol 14 (2023)
Myelin oligodendrocyte glycoprotein (MOG) is expressed on the outermost layer of the myelin sheath in the central nervous system. Recently, the clinical concept of MOG antibody-associated disease (MOGAD) was established based on the results of human
Externí odkaz: https://doaj.org/article/cfd436fb3b2c49e587bf42b3abe3cd2a
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2
Akademický článek
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3
Akademický článek
Absence of miRNA-146a Differentially Alters Microglia Function and Proteome
Autor: Nellie A. Martin, Kirsten H. Hyrlov, Maria L. Elkjaer, Eva K. Thygesen, Agnieszka Wlodarczyk, Kirstine J. Elbaek, Christopher Aboo, Justyna Okarmus, Eirikur Benedikz, Richard Reynolds, Zoltan Hegedus, Allan Stensballe, Åsa Fex Svenningsen, Trevor Owens, Zsolt Illes
Publikováno v: Frontiers in Immunology, Vol 11 (2020)
Background: MiR-146a is an important regulator of innate inflammatory responses and is also implicated in cell death and survival.Methods: By sorting CNS resident cells, microglia were the main cellular source of miR-146a. Therefore, we investigated
Externí odkaz: https://doaj.org/article/07b96028e2194af8b68ac37fea6e76a2
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4
Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection
Autor: Piet M. Bouman, Samantha Noteboom, Fernando A. Nobrega Santos, Erin S. Beck, Gregory Bliault, Marco Castellaro, Massimiliano Calabrese, Declan T. Chard, Paul Eichinger, Massimo Filippi, Matilde Inglese, Caterina Lapucci, Andrzej Marciniak, Bastiaan Moraal, Alfredo Morales Pinzon, Mark Mühlau, Paolo Preziosa, Daniel S. Reich, Maria A. Rocca, Menno M. Schoonheim, Jos W. R. Twisk, Benedict Wiestler, Laura E. Jonkman, Charles R. G. Guttmann, Jeroen J. G. Geurts, Martijn D. Steenwijk
Publikováno v: Bouman, P M, Noteboom, S, Nobrega Santos, F A, Beck, E S, Bliault, G, Castellaro, M, Calabrese, M, Chard, D T, Eichinger, P, Filippi, M, Inglese, M, Lapucci, C, Marciniak, A, Moraal, B, Pinzon, A M, Mühlau, M, Preziosa, P, Reich, D S, Rocca, M A, Schoonheim, M M, Twisk, J W R, Wiestler, B, Jonkman, L E, Guttmann, C R G, Geurts, J J G & Steenwijk, M D 2023, ' Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection ', Radiology, vol. 307, no. 2, e221425 . https://doi.org/10.1148/radiol.221425
Radiology, 307(2):e221425. Radiological Society of North America Inc.
Background: Cortical multiple sclerosis lesions are clinically relevant but inconspicuous at conventional clinical MRI. Double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) are more sensitive but often unavailable. In the pas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5643a498d6779ddaf49e5d45e944d66
https://research.vumc.nl/en/publications/7a83468a-18ea-4243-857b-0c2b6f4e7e31
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6
Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use
Autor: Ulrich Lindberg, Helle Juhl Simonsen, Claes Nøhr Ladefoged, Stig P. Cramer, Liselotte Højgaard, Amalie Monberg Hindsholm, Jette L. Frederiksen, Flemming L. Andersen
Publikováno v: Hindsholm, A M, Cramer, S P, Simonsen, H J, Frederiksen, J L, Andersen, F, Højgaard, L, Ladefoged, C N & Lindberg, U 2022, ' Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use ', Clinical Neuroradiology, vol. 32, pp. 643–653 . https://doi.org/10.1007/s00062-021-01089-z
Purpose To implement and validate an existing algorithm for automatic delineation of white matter lesions on magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) on a local single-center dataset. Methods We implemented a white ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47137539d7edc5812a6df6ec1b60bedb
https://doi.org/10.1007/s00062-021-01089-z
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7
Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection
Autor: Hongwei Li, Paul Eichinger, Tom Finck, Benedikt Wiestler, Lioba Grundl, Bjoern H. Menze, Mark Mühlau, Matthias Bussas
Publikováno v: Investigative Radiology. 55:318-323
OBJECTIVES The aim of the study was to implement a deep-learning tool to produce synthetic double inversion recovery (synthDIR) images and compare their diagnostic performance to conventional sequences in patients with multiple sclerosis (MS). MATERI
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef492d60286c1cf76337d0990dea22f
https://doi.org/10.1097/rli.0000000000000640
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9
State-of-the-Art Segmentation Techniques and Future Directions for Multiple Sclerosis Brain Lesions
Autor: Lakhwinder Kaur, Amrita Kaur, Ashima Singh
Publikováno v: Archives of Computational Methods in Engineering. 28:951-977
Manual segmentation of multiple sclerosis (MS) in brain imaging is a challenging task due to intra and inter-observer variability resulting in poor reproducibility. To overcome the limitations of manual assessment various automatic segmentation techn
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4414f524af0dcc889d27bc72e7ecae5
https://doi.org/10.1007/s11831-020-09403-7
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10
Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on converting 3D to 2D MRI images
Autor: Mohammad Moghadasi, Gábor Fazekas
Publikováno v: Infocommunications journal. 12:38-44
In the twenty first century, there have been various scientific discoveries which have helped in addressing some of the fundamental health issues. Specifically, the discovery of machines which are able to assess the internal conditions of individuals
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e125bb6d3a04353d666170e780cbfe4
https://doi.org/10.36244/icj.2020.1.6
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