Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sunitha Basodi"'
Autor:
Dylan Martin, Sunitha Basodi, Sandeep Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Romero, Bradley T. Baker, Harshvardhan Gazula, Jeremy Bockholt, Jessica A. Turner, Nathalia B. Esper, Alexandre R. Franco, Sergey Plis, Vince D. Calhoun
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Collaborative neuroimaging research is often hindered by technological, policy, administrative, and methodological barriers, despite the abundance of available data. COINSTAC (The Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous
Externí odkaz:
https://doaj.org/article/0aeb0c6c38a9444aad29dd4c5b554eb6
Publikováno v:
Big Data Mining and Analytics, Vol 4, Iss 3, Pp 155-172 (2021)
With the rapid development of human society, the urbanization of the world’s population is also progressing rapidly. Urbanization has brought many challenges and problems to the development of cities. For example, the urban population is under exce
Externí odkaz:
https://doaj.org/article/16c81616221141f69bfe664576bdf438
Publikováno v:
BMC Genomics, Vol 21, Iss S6, Pp 1-10 (2020)
Abstract Background Analysis of heterogeneous populations such as viral quasispecies is one of the most challenging bioinformatics problems. Although machine learning models are becoming to be widely employed for analysis of sequence data from such p
Externí odkaz:
https://doaj.org/article/e15645086c014dc69f210166e75dfb69
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 3, Pp 196-207 (2020)
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural net
Externí odkaz:
https://doaj.org/article/5433e311cbbb4c2e914915b00c94d99e
Publikováno v:
IET Computer Vision, Vol 13, Iss 2, Pp 109-116 (2019)
Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promis
Externí odkaz:
https://doaj.org/article/b64b426e8f64427ea08180d2d54f1170
Autor:
Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep Panta, Thomas Maullin-Sapey, Thomas Nichols, Vince D. Calhoun
Performing group analysis on magnetic resonance imaging (MRI) data with linear mixed-effects (LME) models is challenging due to its large dimensionality and inherent multi-level covariance structure. In addition, as large-scale collaborative projects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25105a51a735d33ad9e8cb514c275aec
https://doi.org/10.1101/2023.05.12.540598
https://doi.org/10.1101/2023.05.12.540598
Autor:
Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun
Publikováno v:
Neuroinformatics. 20:981-990
Recent studies have demonstrated that neuroimaging data can be used to estimate biological brain age, as it captures information about the neuroanatomical and functional changes the brain undergoes during development and the aging process. However, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03aa3f4032fe6a8a4ed823ddc8c6de39
https://doi.org/10.1007/s12021-022-09570-x
https://doi.org/10.1007/s12021-022-09570-x
Publikováno v:
Big Data Mining and Analytics. 4:155-172
With the rapid development of human society, the urbanization of the world's population is also progressing rapidly. Urbanization has brought many challenges and problems to the development of cities. For example, the urban population is under excess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bacf3bc982a9f00be09a964505a37caa
https://doi.org/10.26599/bdma.2020.9020029
https://doi.org/10.26599/bdma.2020.9020029
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
Publikováno v:
Information Sciences. 537:116-131
With the popularity of smart mobile equipment, the amount of data requested by users is growing rapidly. The traditional centralized processing method represented by the cloud computing model can no longer satisfy the effective processing of large am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac5ce3fe33041c50c5dcd6f7bc5c038
https://doi.org/10.1016/j.ins.2020.05.057
https://doi.org/10.1016/j.ins.2020.05.057