On the generalizability of resting-state fMRI machine learning classifiers
Wolfgang Huf,Klaudius Kalcher,Roland N. Boubela,Georg Rath,Andreas Vecsei,Peter Filzmoser &Ewald Moser
Abstract
This article has no associated abstract. (fix it)Other Versions
No versions found
(no proxy)My notes
Similar books and articles
Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State.Arkan Al-Zubaidi,Alfred Mertins,Marcus Heldmann,Kamila Jauch-Chara &Thomas F. Münte -2019 -Frontiers in Human Neuroscience 13.
Predicting Long-Term Cognitive Outcome Following Breast Cancer with Pre-Treatment Resting State fMRI and Random Forest Machine Learning.Shelli R. Kesler,Arvind Rao,Douglas W. Blayney,Ingrid A. Oakley-Girvan,Meghan Karuturi &Oxana Palesh -2017 -Frontiers in Human Neuroscience 11.
Machine learning classification of resting state functional connectivity predicts smoking status.Vani Pariyadath,Elliot A. Stein &Thomas J. Ross -2014 -Frontiers in Human Neuroscience 8.
A systematic investigation of the invariance of resting-state network patterns: is resting-state fMRI ready for pre-surgical planning?K. Kollndorfer,F. Ph S. Fischmeister,G. Kasprian,D. Prayer &V. Schöpf -2013 -Frontiers in Human Neuroscience 7.
Regional Homogeneity Predicts Creative Insight: A Resting-State fMRI Study.Jiabao Lin,Xuan Cui,Xiaoying Dai &Lei Mo -2018 -Frontiers in Human Neuroscience 12.
Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI.Alexander Schaefer,Daniel S. Margulies,Gabriele Lohmann,Krzysztof J. Gorgolewski,Jonathan Smallwood,Stefan J. Kiebel &Arno Villringer -2014 -Frontiers in Human Neuroscience 8.
A Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI Data.Jing Wang &Haixian Wang -2016 -Frontiers in Human Neuroscience 10.
Simultaneous tDCS-fMRI Identifies Resting State Networks Correlated with Visual Search Enhancement.Daniel E. Callan,Brian Falcone,Atsushi Wada &Raja Parasuraman -2016 -Frontiers in Human Neuroscience 10.
Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI.Galina V. Portnova,Alina Tetereva,Vladislav Balaev,Mikhail Atanov,Lyudmila Skiteva,Vadim Ushakov,Alexey Ivanitsky &Olga Martynova -2018 -Frontiers in Human Neuroscience 11.
Tai Chi Chuan and Baduanjin Mind-Body Training Changes Resting-State Low-Frequency Fluctuations in the Frontal Lobe of Older Adults: A Resting-State fMRI Study.Jing Tao,Xiangli Chen,Jiao Liu,Natalia Egorova,Xiehua Xue,Weilin Liu,Guohua Zheng,Ming Li,Jinsong Wu,Kun Hu,Zengjian Wang,Lidian Chen &Jian Kong -2017 -Frontiers in Human Neuroscience 11.
Analytics
Added to PP
2016-06-30
Downloads
40 (#624,040)
6 months
7 (#623,740)
2016-06-30
Downloads
40 (#624,040)
6 months
7 (#623,740)
Historical graph of downloads
How can I increase my downloads?References found in this work
The Elements of Statistical Learning.Trevor Hastie,Robert Tibshirani &Jerome Friedman -2010 - Springer: New York.
Home |New books and articles |Bibliographies |Philosophy journals |About PhilPapers |API |Contact us |Code of conduct
PhilPapers logo byAndrea Andrews andMeghan Driscoll.
This site uses cookies and Google Analytics (see ourterms & conditions for details regarding the privacy implications).Use of this site is subject toterms & conditions.
All rights reserved byThe PhilPapers Foundation
Server: philpapers-web-54b44b69b7-bbztg uwo