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Akademický článek
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Classification of resting state - functional Magnetic Resonance Imaging (rs-fMRI) data using deep learning algorithms is a challenging problem. Previous studies using latent space transformations to project the data into a discriminant space have sho
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dcfbc194d0206b65996d26427ec1d26
https://hdl.handle.net/11541.2/32821
https://hdl.handle.net/11541.2/32821
Akademický článek
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Publikováno v:
EMBC
usc Refereed/Peer-reviewed Accurate detection of neuro-psychological disorders such as Attention Deficit Hyperactivity Disorder (ADHD) using resting state functional Magnetic Resonance Imaging (rs-fMRI) is challenging due to high dimensionality of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5fe4f4069a020c5749f0bd4373cee24
https://pubmed.ncbi.nlm.nih.gov/33018595
https://pubmed.ncbi.nlm.nih.gov/33018595
Publikováno v:
Expert Systems with Applications. 181:115074
Advances in neuroimaging techniques have enabled early diagnosis and better understanding of neuro-psychological disorders using resting state - functional Magnetic Resonance Images (rs-fMRI). However, factors like the large intra-class variability,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e4f1fef87466243787566f3aeff5ccf
https://doi.org/10.1016/j.eswa.2021.115074
https://doi.org/10.1016/j.eswa.2021.115074
Autor:
Abhay M S Aradhya, Andri Ashfahani
Publikováno v:
ICDM Workshops
Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) using resting-state - functional Magnetic Resonance Imaging (rs-fMRI) data is challenging due to the small number of samples, variations in acquisition technologies/techniques, im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22fc5cb58315598f15d5673bf52710bf
https://doi.org/10.1109/icdmw.2019.00022
https://doi.org/10.1109/icdmw.2019.00022
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Analysis of resting state - functional Magnetic Resonance Imaging (rs-fMRI) data has been a challenging problem due to a high homogeneity, large intra-class variability, limited samples and difference in acquisition technologies/techniques. These iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ad675e4f69375acee5f638054e7fc6
https://hdl.handle.net/10356/138475
https://hdl.handle.net/10356/138475
Publikováno v:
2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS).
In a world where technological advancement forms the forefront of our lives, the foundation of this advancement is characterized by an exponential growth in research output from the scientific community. Research papers and their authors, however, ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fb20a1e4a005ebdcefb26ab4e2a9ae5
https://doi.org/10.1109/csitss.2018.8768777
https://doi.org/10.1109/csitss.2018.8768777
Publikováno v:
EMBC
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental problem in children. Resting state functional magnetic resonance imaging (rs-fMRI) provides an important tool in understanding the aberrant functional mechanisms in ADHD p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e5d406061978e9dbc00c4b5b35196c
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 2829-2832.