Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jorge L. Bernal-Rusiel"'
Autor:
Jorge L. Bernal-Rusiel, Nicolas Rannou, Randy L. Gollub, Steve Pieper, Shawn Murphy, Richard Robertson, Patricia E. Grant, Rudolph Pienaar
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
In this paper we present a web-based software solution to the problem of implementing real-time collaborative neuroimage visualization. In both clinical and research settings, simple and powerful access to imaging technologies across multiple devices
Externí odkaz:
https://doaj.org/article/e0c90df792664523880fe2103c37ab24
Autor:
Nicha C. Dvornek, Jorge L. Bernal-Rusiel, Haiping Lu, Shuo Zhou, Ai Wern Chung, Keri S. Rosch, Deana Crocetti, Stewart H. Mostofsky, Islem Rekik, Mwiza Kunda, Jennings Zhang, Archana Venkataraman, Andrew Melbourne, Egor Levchenko, Minjeong Kim, Sandip Samal, Mary Beth Nebel, Neil Marlow, Sebastien Ourselin, Michael Hütel, Rudolph Pienaar, Gideon Pinto, Hassna Irzan, Markus D. Schirmer, Juntang Zhuang, Karen E. Seymour
Publikováno v:
Medical image analysis 70, 101972-(2021). doi:10.1016/j.media.2021.101972
King's College London
Med Image Anal
King's College London
Med Image Anal
Large, open-source consortium datasets have spurred the development of new and increasingly powerful machine learning approaches in brain connectomics. However, one key question remains: are we capturing biologically relevant and generalizable inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8299ea2c0dc2ac718a88921895e2766
Publikováno v:
NeuroImage. 97:9-18
This paper presents a method for the statistical analysis of the associations between longitudinal neuroimaging measurements, e.g., of cortical thickness, and the timing of a clinical event of interest, e.g., disease onset. The proposed approach cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::426bcfecd911974fc3c21744380a85b4
https://doi.org/10.1016/j.neuroimage.2014.04.015
https://doi.org/10.1016/j.neuroimage.2014.04.015
Publikováno v:
NeuroImage. 81:358-370
We present an extension of the Linear Mixed Effects (LME) modeling approach to be applied to the mass-univariate analysis of longitudinal neuroimaging (LNI) data. The proposed method, called spatiotemporal LME or ST-LME, builds on the flexible LME fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c030ab37ff04e6d38988c47af5b37f
https://doi.org/10.1016/j.neuroimage.2013.05.049
https://doi.org/10.1016/j.neuroimage.2013.05.049
Publikováno v:
NeuroImage. 66:249-260
Longitudinal neuroimaging (LNI) studies are rapidly becoming more prevalent and growing in size. Today, no standardized computational tools exist for the analysis of LNI data and widely used methods are sub-optimal for the types of data encountered i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04aa9dbe1667a25714c983b18718bed0
https://doi.org/10.1016/j.neuroimage.2012.10.065
https://doi.org/10.1016/j.neuroimage.2012.10.065
Detection of focal changes in human cortical thickness: Spherical wavelets versus Gaussian smoothing
Publikováno v:
NeuroImage. 41:1278-1292
Subtle but progressive variations in human cortical thickness have been associated with the initial phases of prevalent neurological and psychiatric conditions. But slight changes in cortical thickness at preclinical stages are typically masked by ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc3a77cf0d69471f4f2585b164c9c8ca
https://doi.org/10.1016/j.neuroimage.2008.03.022
https://doi.org/10.1016/j.neuroimage.2008.03.022
Publikováno v:
NeuroImage. 52(1)
article i nfo The extent of smoothing applied to cortical thickness maps critically influences sensitivity, anatomical precision and resolution of statistical change detection. Theoretically, it could be optimized by increasing the trade-off between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ddf2b92f486c1c7a5a6323401760f11
https://pubmed.ncbi.nlm.nih.gov/20362677
https://pubmed.ncbi.nlm.nih.gov/20362677
Publikováno v:
NeuroImage. 108:74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08448cd29c036e8017545a2969a813c7
https://doi.org/10.1016/j.neuroimage.2014.12.051
https://doi.org/10.1016/j.neuroimage.2014.12.051
Publikováno v:
NeuroImage. 108:123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e134176d81c7bc195d8ab73b961efeb2
https://doi.org/10.1016/j.neuroimage.2014.12.052
https://doi.org/10.1016/j.neuroimage.2014.12.052
Publikováno v:
NeuroImage. 108:110
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8774bd58450e11e840de8dd1e9dbbac3
https://doi.org/10.1016/j.neuroimage.2014.12.053
https://doi.org/10.1016/j.neuroimage.2014.12.053