Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Sergey M. Plis"'
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:
Md. Mahfuzur Rahman, Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Brain dynamics are highly complex and yet hold the key to understanding brain function and dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging data are noisy, high-dimensional, and not readily interpreta
Externí odkaz:
https://doaj.org/article/d0b93ee51dab466cb001388e8c65882b
Autor:
R. Devon Hjelm, Eswar Damaraju, Kyunghyun Cho, Helmut Laufs, Sergey M. Plis, Vince D. Calhoun
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
We introduce a novel recurrent neural network (RNN) approach to account for temporal dynamics and dependencies in brain networks observed via functional magnetic resonance imaging (fMRI). Our approach directly parameterizes temporal dynamics through
Externí odkaz:
https://doaj.org/article/b1ab94795d7a4d8791be6ed62d3b662c
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
Autor:
Debbrata K. Saha, Vince D. Calhoun, Yuhui Du, Zening Fu, Soo Min Kwon, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis
Publikováno v:
Human Brain Mapping. 43:2289-2310
Privacy concerns for rare disease data, institutional or IRB policies, access to local computational or storage resources or download capabilities are among the reasons that may preclude analyses that pool data to a single site. A growing number of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed2f8fefd017fe33681f2b2e0d53a9ca
https://doi.org/10.1002/hbm.25788
https://doi.org/10.1002/hbm.25788
Publikováno v:
The Journal of the Astronautical Sciences. 69:570-580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e531b0877aea246814e0e4657a547323
https://doi.org/10.1007/s40295-022-00314-2
https://doi.org/10.1007/s40295-022-00314-2
Autor:
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Publikováno v:
IEEE Signal Processing Magazine. 39:87-98
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46828860bb7a036013c2fc303421ec7f
https://doi.org/10.1109/msp.2021.3128348
https://doi.org/10.1109/msp.2021.3128348
Autor:
Harshvardhan, Gazula, Kelly, Rootes-Murdy, Bharath, Holla, Sunitha, Basodi, Zuo, Zhang, Eric, Verner, Ross, Kelly, Pratima, Murthy, Amit, Chakrabarti, Debasish, Basu, Subodh, Bhagyalakshmi Nanjayya, Rajkumar, Lenin Singh, Roshan, Lourembam Singh, Kartik, Kalyanram, Kamakshi, Kartik, Kumaran, Kalyanaraman, Krishnaveni, Ghattu, Rebecca, Kuriyan, Sunita Simon, Kurpad, Gareth J, Barker, Rose Dawn, Bharath, Sylvane, Desrivieres, Meera, Purushottam, Dimitri Papadopoulos, Orfanos, Eesha, Sharma, Matthew, Hickman, Mireille, Toledano, Nilakshi, Vaidya, Tobias, Banaschewski, Arun L W, Bokde, Herta, Flor, Antoine, Grigis, Hugh, Garavan, Penny, Gowland, Andreas, Heinz, Rüdiger, Brühl, Jean-Luc, Martinot, Marie-Laure, Paillére Martinot, Eric, Artiges, Frauke, Nees, Tomás, Paus, Luise, Poustka, Juliane H, Fröhner, Lauren, Robinson, Michael N, Smolka, Henrik, Walter, Jeanne, Winterer, Robert, Whelan, Jessica A, Turner, Anand D, Sarwate, Sergey M, Plis, Vivek, Benegal, Gunter, Schumann, Vince D, Calhoun
Publikováno v:
Neuroinformatics.
With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a019617b358ac1c9108d71b81b93fded
https://pubmed.ncbi.nlm.nih.gov/36434478
https://pubmed.ncbi.nlm.nih.gov/36434478