Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Hooman Rokham"'
Autor:
Haleh Falakshahi, Hooman Rokham, Zening Fu, Armin Iraji, Daniel H. Mathalon, Judith M. Ford, Bryon A. Mueller, Adrian Preda, Theo G. M. van Erp, Jessica A. Turner, Sergey Plis, Vince D. Calhoun
Publikováno v:
Harvard Data Science Review, Vol 6, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/15c0bee310d743ff84dce91a0faf990d
Publikováno v:
Human Brain Mapping. 44:3180-3195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1961dbc406e0fb619c502554b7cf7213
https://doi.org/10.1002/hbm.26273
https://doi.org/10.1002/hbm.26273
Publikováno v:
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb140bfe55877d5b0674db726664b952
https://doi.org/10.1109/bhi56158.2022.9926933
https://doi.org/10.1109/bhi56158.2022.9926933
Autor:
Haleh Falakshahi, Hooman Rokham, Zening Fu, Armin Iraji, Daniel H. Mathalon, Judith M. Ford, Bryon A. Mueller, Adrian Preda, Theo G. M. van Erp, Jessica A. Turner, Sergey Plis, Vince D. Calhoun
Publikováno v:
Network neuroscience (Cambridge, Mass.), vol 6, iss 3
Graph-theoretical methods have been widely used to study human brain networks in psychiatric disorders. However, the focus has primarily been on global graphic metrics with little attention to the information contained in paths connecting brain regio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d59be6fff02a650119e5588c3e7c015
https://pubmed.ncbi.nlm.nih.gov/36204419
https://pubmed.ncbi.nlm.nih.gov/36204419
Publikováno v:
Biological Psychiatry. 91:S319
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2deb4f25ef02335f077127a2c6277cb
https://doi.org/10.1016/j.biopsych.2022.02.806
https://doi.org/10.1016/j.biopsych.2022.02.806
Publikováno v:
Biological Psychiatry. 91:S329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9420a9e3f51cbfb51ce512ad455cee9
https://doi.org/10.1016/j.biopsych.2022.02.829
https://doi.org/10.1016/j.biopsych.2022.02.829
Autor:
Vince D. Calhoun, Steven G. Potkin, Armin Iraji, Daniel H. Mathalon, Zening Fu, Bryon A. Mueller, Adrian Preda, Sarah McEwen, Judith M. Ford, Sergey M. Plis, Haleh Falakshahi, Jessica A. Turner, Hooman Rokham, Aysenil Belger, James T. Voyvodic
Publikováno v:
BIBE
Objective: A graph theoretical approach provides a powerful framework for discovering potential biomarkers of psychotic disorders. Comparing the brain graphs of the control and patient groups can help us to discover changes in mental disorders in a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841c289e95d8c63ad58f9fb9d86bfd67
https://doi.org/10.1109/bibe50027.2020.00074
https://doi.org/10.1109/bibe50027.2020.00074
Autor:
Jingyu Liu, Jing Sui, Haleh Falakshahi, Steven G. Potkin, James T. Voyvodic, Victor M. Vergara, Bryon A. Mueller, Judith M. Ford, Adrian Preda, Jessica A. Turner, Daniel H. Mathalon, Aysenil Belger, Vince D. Calhoun, Sergey M. Plis, Hooman Rokham, Sarah McEwen
Publikováno v:
IEEE transactions on bio-medical engineering, vol 67, iss 9
IEEE Trans Biomed Eng
IEEE Trans Biomed Eng
Objective: Multimodal measurements of the same phenomena provide complementary information and highlight different perspectives, albeit each with their own limitations. A focus on a single modality may lead to incorrect inferences, which is especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b9565ef0b115ac5b5c79df775422236
https://escholarship.org/uc/item/23z986ht
https://escholarship.org/uc/item/23z986ht
Autor:
Vince D. Calhoun, Haleh Falakshahi, Anees Abrol, Godfrey D. Pearlson, Hooman Rokham, Sergey M. Plis
Publikováno v:
Biol Psychiatry Cogn Neurosci Neuroimaging
Background Mental health diagnostic approaches are seeking to identify biological markers to work alongside advanced machine learning approaches. It is difficult to identify a biological marker of disease when the traditional diagnostic labels themse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9ebb6d4bf90b14b4e0970c2a6acf5ae
https://europepmc.org/articles/PMC7760893/
https://europepmc.org/articles/PMC7760893/
Autor:
Haleh Falakshahi, Vince D. Calhoun, Hooman Rokham, Anees Abrol, Sergey M. Plis, Godfrey D. Pearlson
BackgroundMental health diagnostic approaches are seeking to identify biological markers to work alongside advanced machine learning approaches. It is difficult to identify a biological marker of disease when the traditional diagnostic labels themsel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::927f54b7f3f84c38992379e576280a64
https://doi.org/10.1101/2020.05.06.081521
https://doi.org/10.1101/2020.05.06.081521