Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Uttara Tipnis"'
Autor:
Kausar Abbas, Mintao Liu, Michael Wang, Duy Duong-Tran, Uttara Tipnis, Enrico Amico, Alan D. Kaplan, Mario Dzemidzic, David Kareken, Beau M. Ances, Jaroslaw Harezlak, Joaquín Goñi
Publikováno v:
iScience, Vol 26, Iss 9, Pp 107624- (2023)
Summary: Functional connectomes (FCs) containing pairwise estimations of functional couplings between pairs of brain regions are commonly represented by correlation matrices. As symmetric positive definite matrices, FCs can be transformed via tangent
Externí odkaz:
https://doaj.org/article/065fcd32b29f4483b3371d4d4db0fe72
Autor:
Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran, Uttara Tipnis, Meenusree Rajapandian, Evgeny Chumin, Mario Ventresca, Jaroslaw Harezlak, Joaquín Goñi
Publikováno v:
Network Neuroscience, Vol 5, Iss 3, Pp 646-665 (2021)
AbstractModeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed stru
Externí odkaz:
https://doaj.org/article/27308c71b89c444aa120b80b532b42e9
Autor:
Kausar Abbas, Enrico Amico, Diana Otero Svaldi, Uttara Tipnis, Duy Anh Duong-Tran, Mintao Liu, Meenusree Rajapandian, Jaroslaw Harezlak, Beau M. Ances, Joaquín Goñi
Publikováno v:
NeuroImage, Vol 221, Iss , Pp 117181- (2020)
It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identificatio
Externí odkaz:
https://doaj.org/article/4f46a126f9824362b6a67719337c8f91
Autor:
Alan D. Kaplan, Uttara Tipnis, Jean C. Beckham, Nathan A. Kimbrel, David W. Oslin, Benjamin H. McMahon
Publikováno v:
Journal of biomedical informatics. 130
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML) methods, either predictive or unsupervised, stems in part from the heterogeneity and irregular samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d206acb86658ee4aef7a4c6b5b9e9832
https://pubmed.ncbi.nlm.nih.gov/35533991
https://pubmed.ncbi.nlm.nih.gov/35533991
Autor:
Enrico Amico, Kausar Abbas, Diana O. Svaldi, Meenusree Rajapandian, Uttara Tipnis, Joaquín Goñi, Mintao Liu, Duy Anh Duong-Tran, Jaroslaw Harezlak, Beau M. Ances
Publikováno v:
NeuroImage, Vol 221, Iss, Pp 117181-(2020)
It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b6ec5c9ba0a37791b58754120c2ba2
http://arxiv.org/abs/2001.06605
http://arxiv.org/abs/2001.06605
Communication processes within the human brain at different cognitive states are neither well understood nor completely characterized. We assess communication processes in the human connectome using ant colony-inspired cooperative learning algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::012725db42655c030e2083b54d3a8f4f
http://arxiv.org/abs/1802.06507
http://arxiv.org/abs/1802.06507
Autor:
Evgeny J. Chumin, Joaquín Goñi, Duy Anh Duong-Tran, Jaroslaw Harezlak, Uttara Tipnis, Enrico Amico, Kausar Abbas, Meenusree Rajapandian, Mario Ventresca
Publikováno v:
Network Neuroscience, Vol 5, Iss 3, Pp 646-665 (2021)
Network Neuroscience
Network Neuroscience
Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed structural t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58ced839e40951bfc8d24d581390d4fd
https://infoscience.epfl.ch/record/289935
https://infoscience.epfl.ch/record/289935