Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Rogers F. Silva"'
Autor:
Yixin Ji, Rogers F. Silva, Tülay Adali, Xuyun Wen, Qi Zhu, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
Publikováno v:
NeuroImage: Clinical, Vol 43, Iss , Pp 103663- (2024)
Identifying biomarkers for computer-aided diagnosis (CAD) is crucial for early intervention of psychiatric disorders. Multi-site data have been utilized to increase the sample size and improve statistical power, while multi-modality classification of
Externí odkaz:
https://doaj.org/article/e7b7394e90fc45ae9bdcda19520c9a73
Autor:
Kuaikuai Duan, Jiayu Chen, Vince D. Calhoun, Wenhao Jiang, Kelly Rootes-Murdy, Gido Schoenmacker, Rogers F. Silva, Barbara Franke, Jan K. Buitelaar, Martine Hoogman, Jaap Oosterlaan, Pieter J. Hoekstra, Dirk Heslenfeld, Catharina A. Hartman, Emma Sprooten, Alejandro Arias-Vasquez, Jessica A. Turner, Jingyu Liu
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder, with onset in childhood and a considerable likelihood to persist into adulthood. Our previous work has identified that across adults and adole
Externí odkaz:
https://doaj.org/article/8b5bae7cd73e40b3968970c201ca8a61
Autor:
Reihaneh Hassanzadeh, Rogers F. Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D. Calhoun
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
Individuals can be characterized in a population according to their brain measurements and activity, given the inter-subject variability in brain anatomy, structure-function relationships, or life experience. Many neuroimaging studies have demonstrat
Externí odkaz:
https://doaj.org/article/40917fc8d06b49d0ba346d716a8a6884
Publikováno v:
Frontiers in Systems Neuroscience, Vol 14 (2020)
Many brain imaging modalities reveal interpretable patterns after the data dimensionality is reduced and summarized via data-driven approaches. In functional magnetic resonance imaging (fMRI) studies, such summarization is often achieved through inde
Externí odkaz:
https://doaj.org/article/f79259878bf5477da4a5287fb560cd9b
Autor:
Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
In the field of neuroimaging, there is a growing interest in developing collaborative frameworks that enable researchers to address challenging questions about the human brain by leveraging data across multiple sites all over the world. Additionally,
Externí odkaz:
https://doaj.org/article/ea7ff272322448c8a2b316e572622a21
Autor:
Vince D. Calhoun, Vamsi K. Potluru, Ronald Phlypo, Rogers F. Silva, Barak A. Pearlmutter, Arvind Caprihan, Sergey M. Plis, Tülay Adalı
Publikováno v:
PLoS ONE, Vol 8, Iss 10 (2013)
Externí odkaz:
https://doaj.org/article/4eace88c0f55406e9991e1aeb9bb9954
The examination of multivariate brain morphometry patterns has gained attention in recent years, especially for their powerful exploratory capabilities in the study of differences between patients and controls. Among many existing methods and tools f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dabfea2ec4e86b3fe6a9370ce397f211
https://doi.org/10.1101/2022.12.29.522266
https://doi.org/10.1101/2022.12.29.522266
Autor:
Kuaikuai Duan, Jiayu Chen, Zening Fu, Rogers F. Silva, Vince D. Calhoun, Michela Dell’Orco, Nora I Perrone-Bizzozero, Yuhui Du, Wenhao Jiang, Jingyu Liu
Data fusion analyses of brain imaging and genomics enable the linking of genomic factors to brain patterns. Due to the small to modest effect sizes of common genetic variants, it is usually challenging to reliably identify relevant genetic factors fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::553f9f9ca0882a7e64a4be422919dc11
https://doi.org/10.1101/2022.06.27.22276981
https://doi.org/10.1101/2022.06.27.22276981
Autor:
Jafar Mohammadi, Sergey M. Plis, Anand D. Sarwate, Bradley T. Baker, Hafiz Imtiaz, Calhoun D. Vince, Rogers F. Silva
Publikováno v:
IEEE Trans Signal Process
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. To leverage larger sample sizes, different data holders/sites may wish to collaboratively learn feature representati
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).