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Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging.

, , , , и . CVPR (1), стр. 1211-1217. IEEE Computer Society, (2005)

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Aaro M Ritala

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Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach., , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 9788 из SPIE Proceedings, стр. 97880O. SPIE, (2016)Simple fully automated group classification on brain FMRI., , , и . ISBI, стр. 1145-1148. IEEE, (2010)fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics., , , , и . MLMI, том 8184 из Lecture Notes in Computer Science, стр. 90-97. Springer, (2013)Structural Integrity of the Prefrontal Cortex Modulates Electrocortical Sensitivity to Reward., , , , и . J. Cognitive Neuroscience, 24 (7): 1560-1570 (2012)Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm., , , , , , , , и . Comput. Medical Imaging Graph., (2015)Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data., , , , , , , и . MICCAI, том 3749 из Lecture Notes in Computer Science, стр. 679-687. Springer, (2005)Modeling Neuronal Interactivity using Dynamic Bayesian Networks., , , , и . NIPS, стр. 1593-1600. (2005)Speech Markers for Clinical Assessment of Cocaine Users., , , , , , , и . ICASSP, стр. 6391-6394. IEEE, (2019)Task-Specific Functional Brain Geometry from Model Maps., , , , , , , и . MICCAI (1), том 5241 из Lecture Notes in Computer Science, стр. 925-933. Springer, (2008)Sparse and Locally Constant Gaussian Graphical Models., , , , и . NIPS, стр. 745-753. Curran Associates, Inc., (2009)