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pro vyhledávání: '"Nebli, Ahmed"'
Several brain disorders can be detected by observing alterations in the brain's structural and functional connectivities. Neurological findings suggest that early diagnosis of brain disorders, such as mild cognitive impairment (MCI), can prevent and
Externí odkaz:
http://arxiv.org/abs/2110.11237
Autor:
Bessadok, Alaa, Nebli, Ahmed, Mahjoub, Mohamed Ali, Li, Gang, Lin, Weili, Shen, Dinggang, Rekik, Islem
Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analysis requires acquisition of longitudinal connectomic datasets. However,
Externí odkaz:
http://arxiv.org/abs/2110.03535
Brain graph synthesis marked a new era for predicting a target brain graph from a source one without incurring the high acquisition cost and processing time of neuroimaging data. However, existing multi-modal graph synthesis frameworks have several l
Externí odkaz:
http://arxiv.org/abs/2107.06281
Learning how to predict the brain connectome (i.e. graph) development and aging is of paramount importance for charting the future of within-disorder and cross-disorder landscape of brain dysconnectivity evolution. Indeed, predicting the longitudinal
Externí odkaz:
http://arxiv.org/abs/2009.13217
Autor:
Nebli, Ahmed, Rekik, Islem
Brain connectivity networks, derived from magnetic resonance imaging (MRI), non-invasively quantify the relationship in function, structure, and morphology between two brain regions of interest (ROIs) and give insights into gender-related connectiona
Externí odkaz:
http://arxiv.org/abs/2009.11524
Foreseeing the brain evolution as a complex highly inter-connected system, widely modeled as a graph, is crucial for mapping dynamic interactions between different anatomical regions of interest (ROIs) in health and disease. Interestingly, brain grap
Externí odkaz:
http://arxiv.org/abs/2009.11166
Akademický článek
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Publikováno v:
In Neural Networks April 2022 148:254-265
Akademický článek
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