Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Matthijs C. van Eede"'
Autor:
Mona OmidYeganeh, Najmeh Khalili-Mahani, Patrick Bermudez, Alison Ross, Claude Lepage, Robert D. Vincent, S. Jeon, Lindsay B. Lewis, S. Das, Alex P. Zijdenbos, Pierre Rioux, Reza Adalat, Matthijs C. Van Eede, Alan C. Evans
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad numerical procedures, which can have a cumulative effect on the accuracy of findings. To a
Externí odkaz:
https://doaj.org/article/e4a0593f923e45669934222078da715f
Autor:
Katheron Intson, Matthijs C. van Eede, Rehnuma Islam, Marija Milenkovic, Yuanye Yan, Ali Salahpour, R. Mark Henkelman, Amy J. Ramsey
Publikováno v:
Neurobiology of Disease, Vol 132, Iss , Pp - (2019)
NMDA receptor dysfunction is central to the encephalopathies caused by missense mutations in the NMDA receptor subunit genes. Missense variants of GRIN1, GRIN2A, and GRIN2B cause similar syndromes with varying severity of intellectual impairment, aut
Externí odkaz:
https://doaj.org/article/1f399d1024d0435db10198f2f5a71629
Autor:
Thomas Arbogast, Giovanni Iacono, Claire Chevalier, Nurudeen O Afinowi, Xander Houbaert, Matthijs C van Eede, Christine Laliberte, Marie-Christine Birling, Katrin Linda, Hamid Meziane, Mohammed Selloum, Tania Sorg, Nael Nadif Kasri, David A Koolen, Henk G Stunnenberg, R Mark Henkelman, Maksym Kopanitsa, Yann Humeau, Bert B A De Vries, Yann Herault
Publikováno v:
PLoS Genetics, Vol 13, Iss 7, p e1006886 (2017)
Koolen-de Vries syndrome (KdVS) is a multi-system disorder characterized by intellectual disability, friendly behavior, and congenital malformations. The syndrome is caused either by microdeletions in the 17q21.31 chromosomal region or by variants in
Externí odkaz:
https://doaj.org/article/e9e6367624eb4c45bb47b6da10197bb8
Autor:
Julia M. H. Noothout, Nikolas Lessmann, Matthijs C. van Eede, Louis D. van Harten, Ecem Sogancioglu, Friso G. Heslinga, Mitko Veta, Bram van Ginneken, Ivana Išgum
Publikováno v:
Journal of Medical Imaging, 9
Journal of medical imaging (Bellingham, Wash.), 9(5):052407. SPIE
Journal of Medical Imaging, 9, 5
Journal of medical imaging (Bellingham, Wash.), 9(5):052407. SPIE
Journal of Medical Imaging, 9, 5
Contains fulltext : 252007.pdf (Publisher’s version ) (Open Access) Purpose: Ensembles of convolutional neural networks (CNNs) often outperform a single CNN in medical image segmentation tasks, but inference is computationally more expensive and ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15eefd6de502d73504e5b1b940aca01a
http://hdl.handle.net/2066/252007
http://hdl.handle.net/2066/252007
Autor:
Patrick Bermudez, Seun Jeon, Mona Omidyeganeh, Pierre Rioux, Samir Das, Najmeh Khalili-Mahani, Alison Ross, Matthijs C. van Eede, Reza Adalat, Alex P. Zijdenbos, Claude Lepage, Lindsay B. Lewis, Robert D. Vincent, Alan C. Evans
Publikováno v:
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 15 (2021)
Frontiers in Neuroinformatics, Vol 15 (2021)
In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad numerical procedures, which can have a cumulative effect on the accuracy of findings. To a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fa78ee4439e893b55b10d91ac4b2627
Autor:
Matthijs C. van Eede, R. Mark Henkelman, Jay Devine, Benedikt Hallgrímsson, Wei Liu, Benjamin C Darwin, Christopher J. Percival
Publikováno v:
Journal of Anatomy. 234:917-935
Morphometric analysis of anatomical landmarks allows researchers to identify specific morphological differences between natural populations or experimental groups, but manually identifying landmarks is time-consuming. We compare manually and automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7767ce54c13c37fd731f18967872bc4a
https://doi.org/10.1111/joa.12973
https://doi.org/10.1111/joa.12973
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
Using neuroimaging technologies to elucidate the relationship between genotype and phenotype and brain and behavior will be a key contribution to biomedical research in the twenty-first century. Among the many methods for analyzing neuroimaging data,
Externí odkaz:
https://doaj.org/article/c4870d720fe34d328e72aef028f7250e
Autor:
Lydia Teboul, James M. Brown, Neil R. Horner, Shanmugasundaram Venkataraman, Steve D.M. Brown, Henrik Westerberg, Ramón Casero, Ann-Marie Mallon, Matthijs C. van Eede, Sara Wells, Michael D. Wong, Sara Johnson, R. Mark Henkelman, Chris Armit
Publikováno v:
Development (Cambridge, England)
article-version (VoR) Version of Record
article-version (VoR) Version of Record
Advanced 3D imaging modalities, such as micro-computed tomography (micro-CT), have been incorporated into the high-throughput embryo pipeline of the International Mouse Phenotyping Consortium (IMPC). This project generates large volumes of raw data t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80424930a5a6d217882f39104d29ddd3
http://europepmc.org/articles/PMC8015254
http://europepmc.org/articles/PMC8015254
Autor:
Julia C. Boughner, Lisa X. Yu, Nasim Rostampour, R. Mark Henkelman, Matthijs C. van Eede, Shoshana Spring
Publikováno v:
Developmental Dynamics. 247:779-787
Background The p63 gene is integral to the development of many body parts including limb, palate, teeth, and urogenital tract. Loss of p63 expression may alter developmental rate, which is crucial to normal morphogenesis. To validate a novel, unbiase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e64bc8ceefd90ecba547d98f7d6a346
https://doi.org/10.1002/dvdy.24622
https://doi.org/10.1002/dvdy.24622
Autor:
Ali Salahpour, Yuanye Yan, R. Mark Henkelman, Rehnuma Islam, Matthijs C. van Eede, Amy J. Ramsey, Marija Milenkovic, Katheron Intson
Publikováno v:
Neurobiology of Disease, Vol 132, Iss, Pp-(2019)
NMDA receptor dysfunction is central to the encephalopathies caused by missense mutations in the NMDA receptor subunit genes. Missense variants of GRIN1, GRIN2A, and GRIN2B cause similar syndromes with varying severity of intellectual impairment, aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d643b39b828aab47931e1c7c8530bdf7
http://www.sciencedirect.com/science/article/pii/S0969996119301950
http://www.sciencedirect.com/science/article/pii/S0969996119301950