Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Soroosh Afyouni"'
Autor:
Ann-Marie Mallon, Dieter A. Häring, Frank Dahlke, Piet Aarden, Soroosh Afyouni, Daniel Delbarre, Khaled El Emam, Habib Ganjgahi, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Ewan Straiton, Sibylle Haemmerle, Adam Huffman, Tom Hofmann, Luke J. Kelly, Peter Krusche, Marie-Claude Laramee, Karine Lheritier, Greg Ligozio, Aimee Readie, Luis Santos, Thomas E. Nichols, Janice Branson, Chris Holmes
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Novartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the
Externí odkaz:
https://doaj.org/article/d43dee580b834d6ca85817e178bae918
Autor:
Fidel Alfaro-Almagro, Paul McCarthy, Soroosh Afyouni, Jesper L.R. Andersson, Matteo Bastiani, Karla L. Miller, Thomas E. Nichols, Stephen M. Smith
Publikováno v:
NeuroImage, Vol 224, Iss , Pp 117002- (2021)
Dealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and non-imaging measures such
Externí odkaz:
https://doaj.org/article/0016cb0da231407c82863cb90d0427f4
Autor:
Dragana M. Pavlović, Bryan R.L. Guillaume, Emma K. Towlson, Nicole M.Y. Kuek, Soroosh Afyouni, Petra E. Vértes, B.T. Thomas Yeo, Edward T. Bullmore, Thomas E. Nichols
Publikováno v:
NeuroImage, Vol 220, Iss , Pp 116611- (2020)
There is considerable interest in elucidating the cluster structure of brain networks in terms of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle data on multiple subjects since most of the existing method
Externí odkaz:
https://doaj.org/article/5a4bb5f71c69409e8866f5ad9cdba25d
Autor:
Thomas E. Nichols, Piet Aarden, E. Straiton, Sibylle Haemmerle, Aimee Readie, Greg Ligozio, Karine Lheritier, M.-C. Laramee, K. El Emam, Janice Branson, Daniel J. Delbarre, Christopher Holmes, Habib Ganjgahi, Soroosh Afyouni, C. H. Kwok, Stephen Gardiner, D. M. West, Peter Krusche, D. A. Haering, T. F. Hofmann, L. F. Kelly, Luis Santos, Ann-Marie Mallon, Frank Dahlke, Adam Huffman
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Medical Research Methodology
BMC Medical Research Methodology
Background Novartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the latest st
Publikováno v:
Statistica Neerlandica. 74:363-396
Recently, there has been a renewed interest in the class of stochastic blockmodels (SBM) and their applications to multi‐subject brain networks. In our most recent work, we have considered an extension of the classical SBM, termed heterogeneous SBM
Autor:
Elizabeth Levitis, Cassandra Doris Gould van Praag, Remi Gau, Stephan Heunis, Elizabeth DuPre, Greg Kiar, Katherine L Bottenhorn, Tristan Glatard, Aki Nikolaidis, Kirstie Jane Whitaker, Matteo Mancini, Guiomar Niso, Soroosh Afyouni, Eva Alonso Ortiz, Stefan Appelhoff, Aurina Arnatkeviciute, Melvin Selim ATAY, Tibor Auer, Giulia Baracchini, Johanna Margarete Marianne Bayer, Michael J. S. Beauvais, Janine Diane Bijsterbosch, Isil Poyraz Bilgin, Saskia Bollmann, Steffen Bollmann, Rotem Botvinik-Nezer, Molly G Bright, Vince D Calhoun, Xiao Chen, Sidhant Chopra, Hu Chuan-Peng, Thomas Close, Savannah Cookson, Cameron Craddock, Alejandro De La Vega, Benjamin De Leener, Damion Demeter, Paola Di Maio, Erin W Dickie, Simon B Eickhoff, Oscar Esteban, Karolina Finc, Matteo Frigo, Saampras Ganesan, Melanie Ganz, Kelly Garner, Eduardo A. Garza-Villarreal, Gabriel Gonzalez-Escamilla, Rohit Goswami, John David Griffiths, Tijl Grootswagers, Samuel Guay, Olivia Guest, Daniel A. Handwerker, Peer Herholz, Katja Heuer, Dorien Huijser, Vittorio Iacovella, Michael Joseph, Agah Karakuzu, David Keator, Xenia Kobeleva, Manoj Kumar, Angie Laird, Linda J. Larson-Prior, Alexandra Lautarescu, Alberto Lazari, Jon Haitz Legarreta Gorroño, Jeff jeffers, Jinglei Lv, Sina Mansour L., David Meunier, Dustin Moraczewski, Tulika Nandi, Samuel A. Nastase, Matthias Nau, Stephanie Noble, Martin Norgaard, Johnes Obungoloch, Robert Oostenveld, Edwina R Orchard, Ana Luísa Pinho, Russell Poldrack, Anqi Qiu, Pradeep Reddy Raamana, Ariel Rokem, Saige Rutherford, Malvika Sharan, Thomas Shaw, Warda T Syeda, Meghan M. Testerman, Roberto Toro, Sofie L. Valk, Sofie Van Den Bossche, Gael P. Varoquaux, Frantisek Vasa, Michele Veldsman, Jakub Vohryzek, Adina Svenja Wagner, Reubs J Walsh, Tonya White, null zuxfoucault, Xihe Xie, Chao-Gan Yan, Yu-Fang Yang, Yohan Yee, Gaston E Zanitti, Ana Van Gulick, Eugene Duff, Camille MAUMET
Publikováno v:
GigaScience
GigaScience, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
GigaScience, BioMed Central, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
Levitis, E, Van Praag, C D G, Gau, R, Heunis, S, Dupre, E, Kiar, G, Bottenhorn, K L, Glatard, T, Nikolaidis, A, Whitaker, K J, Mancini, M, Niso, G, Afyouni, S, Alonso-Ortiz, E, Appelhoff, S, Arnatkeviciute, A, Atay, S M, Auer, T, Baracchini, G, Bayer, J M M, Beauvais, M J S, Bijsterbosch, J D, Bilgin, I P, Bollmann, S, Bollmann, S, Botvinik-Nezer, R, Bright, M G, Calhoun, V D, Chen, X, Chopra, S, Chuan-Peng, H, Close, T G, Cookson, S L, Craddock, R C, De La Vega, A, De Leener, B, Demeter, D V, Di Maio, P, Dickie, E W, Eickhoff, S B, Esteban, O, Finc, K, Frigo, M, Ganesan, S, Ganz, M, Garner, K G, Garza-Villarreal, E A, Gonzalez-Escamilla, G, Goswami, R, Griffiths, J D, Grootswagers, T, Guay, S, Guest, O, Handwerker, D A, Herholz, P, Heuer, K, Huijser, D C, Iacovella, V, Joseph, M J E, Karakuzu, A, Keator, D B, Kobeleva, X, Kumar, M, Laird, A R, Larson-Prior, L J, Lautarescu, A, Lazari, A, Legarreta, J H, Li, X Y, Lv, J, Mansour L., S, Meunier, D, Moraczewski, D, Nandi, T, Nastase, S A, Nau, M, Noble, S, Norgaard, M, Obungoloch, J, Oostenveld, R, Orchard, E R, Pinho, A L, Poldrack, R A, Qiu, A, Raamana, P R, Rokem, A, Rutherford, S, Sharan, M, Shaw, T B, Syeda, W T, Testerman, M M, Toro, R, Valk, S L, Van Den Bossche, S, Varoquaux, G, Váša, F, Veldsman, M, Vohryzek, J, Wagner, A S, Walsh, R J, White, T, Wong, F T, Xie, X, Yan, C G, Yang, Y F, Yee, Y, Zanitti, G E, Van Gulick, A E, Duff, E & Maumet, C 2021, ' Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective ', GigaScience, vol. 10, no. 8, giab051, pp. 1-14 . https://doi.org/10.1093/gigascience/giab051
Gigascience
GigaScience 10(8), giab051 (2021). doi:10.1093/gigascience/giab051
GigaScience, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
GigaScience, BioMed Central, 2021, 10 (8), ⟨10.1093/gigascience/giab051⟩
Levitis, E, Van Praag, C D G, Gau, R, Heunis, S, Dupre, E, Kiar, G, Bottenhorn, K L, Glatard, T, Nikolaidis, A, Whitaker, K J, Mancini, M, Niso, G, Afyouni, S, Alonso-Ortiz, E, Appelhoff, S, Arnatkeviciute, A, Atay, S M, Auer, T, Baracchini, G, Bayer, J M M, Beauvais, M J S, Bijsterbosch, J D, Bilgin, I P, Bollmann, S, Bollmann, S, Botvinik-Nezer, R, Bright, M G, Calhoun, V D, Chen, X, Chopra, S, Chuan-Peng, H, Close, T G, Cookson, S L, Craddock, R C, De La Vega, A, De Leener, B, Demeter, D V, Di Maio, P, Dickie, E W, Eickhoff, S B, Esteban, O, Finc, K, Frigo, M, Ganesan, S, Ganz, M, Garner, K G, Garza-Villarreal, E A, Gonzalez-Escamilla, G, Goswami, R, Griffiths, J D, Grootswagers, T, Guay, S, Guest, O, Handwerker, D A, Herholz, P, Heuer, K, Huijser, D C, Iacovella, V, Joseph, M J E, Karakuzu, A, Keator, D B, Kobeleva, X, Kumar, M, Laird, A R, Larson-Prior, L J, Lautarescu, A, Lazari, A, Legarreta, J H, Li, X Y, Lv, J, Mansour L., S, Meunier, D, Moraczewski, D, Nandi, T, Nastase, S A, Nau, M, Noble, S, Norgaard, M, Obungoloch, J, Oostenveld, R, Orchard, E R, Pinho, A L, Poldrack, R A, Qiu, A, Raamana, P R, Rokem, A, Rutherford, S, Sharan, M, Shaw, T B, Syeda, W T, Testerman, M M, Toro, R, Valk, S L, Van Den Bossche, S, Varoquaux, G, Váša, F, Veldsman, M, Vohryzek, J, Wagner, A S, Walsh, R J, White, T, Wong, F T, Xie, X, Yan, C G, Yang, Y F, Yee, Y, Zanitti, G E, Van Gulick, A E, Duff, E & Maumet, C 2021, ' Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective ', GigaScience, vol. 10, no. 8, giab051, pp. 1-14 . https://doi.org/10.1093/gigascience/giab051
Gigascience
GigaScience 10(8), giab051 (2021). doi:10.1093/gigascience/giab051
As the global health crisis unfolded throughout the world, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity in its attenuation of economic, physical and legal barriers and effectively en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c70f973370285950053c63d4ef40379
https://www.hal.inserm.fr/inserm-03221005/document
https://www.hal.inserm.fr/inserm-03221005/document
Autor:
Jesper L. R. Andersson, Steve M. Smith, Fidel Alfaro-Almagro, Soroosh Afyouni, Karla L. Miller, Paul McCarthy, Matteo Bastiani, Thomas E. Nichols
Publikováno v:
NeuroImage, Vol 224, Iss, Pp 117002-(2021)
NeuroImage
NeuroImage
Dealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and nonimaging measures such a
Autor:
Petra E. Vértes, Emma K. Towlson, Soroosh Afyouni, Thomas E. Nichols, Dragana M. Pavlović, Bryan Guillaume, B.T. Thomas Yeo, Nicole M. Y. Kuek, Edward T. Bullmore
Publikováno v:
NeuroImage, Vol 220, Iss, Pp 116611-(2020)
There is great interest in elucidating the cluster structure of brain networks in terms of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle data on multiple subjects since most of the existing methods are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f901fcaf167828f6b824dec05990da
https://doi.org/10.1016/j.neuroimage.2020.116611
https://doi.org/10.1016/j.neuroimage.2020.116611
Analyzing resting state fMRI data is difficult due to a weak signal and several noise sources. Head motion is also a major problem and it is common to apply motion scrubbing, i.e. to remove time points where a subject has moved more than some pre-def
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7e96932af8af5cb1f96f7c1cf99b911
Rich Club (RC) analysis is one way to gain insight to the core structure of the human connectome. Impediments to general use of the RC are: 1) difficulty with summarisation of multi-subject data, 2) computational inefficiency. In this work we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a704756f62b6fa8bad12843a79ba7461