Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Eloy Geenjaar"'
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Recent advancements in neuroimaging have led to greater data sharing among the scientific community. However, institutions frequently maintain control over their data, citing concerns related to research culture, privacy, and accountability. This cre
Externí odkaz:
https://doaj.org/article/e5e08ae8cf6b415ab47776d1a3060d27
Autor:
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
Publikováno v:
NeuroImage, Vol 285, Iss , Pp 120485- (2024)
In recent years, deep learning approaches have gained significant attention in predicting brain disorders using neuroimaging data. However, conventional methods often rely on single-modality data and supervised models, which provide only a limited pe
Externí odkaz:
https://doaj.org/article/d91ca6a54e974137b4b76ffbb8799660
Autor:
Eloy Geenjaar, Noah Lewis, Alex Fedorov, Lei Wu, Judith Ford, Adrian Preda, Sergey Plis, Vince Calhoun
Publikováno v:
medRxiv
This work proposes a novel generative multimodal approach to jointly analyze multimodal data while linking the multimodal information to colors. By linking colors to private and shared information from modalities, we introduce chromatic fusion, a fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acbc1728a834ae5755d35264bd96dceb
https://europepmc.org/articles/PMC10246163/
https://europepmc.org/articles/PMC10246163/
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Mental disorders such as schizophrenia have been challenging to characterize due in part to their heterogeneous presentation in individuals. Most studies have focused on identifying groups differences and have typically ignored the heterogeneous patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee415d9fa8c387dba4a3facede04a8cd
https://doi.org/10.1109/embc48229.2022.9871803
https://doi.org/10.1109/embc48229.2022.9871803
Autor:
Hanan El Marroun, Henning Tiemeier, Masoud Amiri, Laura M. E. Blanken, Sander Lamballais, Tonya White, Eloy Geenjaar
Publikováno v:
Autism research, 13(9), 1582-1600. John Wiley and Sons Inc.
Autism Research, 13(9), 1582-1600. John Wiley & Sons Inc.
Autism Research
Autism Research, 13(9), 1582-1600. John Wiley & Sons Inc.
Autism Research
A combination of genetic and environmental factors contributes to the origins of autism spectrum disorder (ASD). While a number of studies have described specific environmental factors associating with emerging ASD, studies that compare and contrast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4dd21e2c07970f2f9577551fb6fdb9d
https://doi.org/10.1002/aur.2372
https://doi.org/10.1002/aur.2372
Autor:
Thomas P. DeRamus, Alex Kirilin, Tristan Sylvain, Eloy Geenjaar, Sergey M. Plis, Margaux Luck, Dmitry Bleklov, Alex Fedorov, Lei Wu, Vince D. Calhoun
Publikováno v:
ICHI
Sensory input from multiple sources is crucial for robust and coherent human perception. Different sources contribute complementary explanatory factors. Similarly, research studies often collect multimodal imaging data, each of which can provide shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379886edc0c32939e37285eb7efe6a88
https://doi.org/10.1109/ichi52183.2021.00017
https://doi.org/10.1109/ichi52183.2021.00017
Neuroimaging studies often collect multimodal data. These modalities contain both shared and mutually exclusive information about the brain. This work aims to find a scalable and interpretable method to fuse the information of multiple neuroimaging m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0ce6b0af7e5fbc546a4c0eeb0b4683