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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . Human Brain Mapping, 41 (14): 3839-3854 (июля 2020)
DOI: 10.1002/hbm.25089

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Matthias Kirschner

Matthias Michael Georg Kirschner

Adolf Kirschner

Herbert Kirschner

Willi Kirschner

 

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Simultaneous Segmentation and Correspondence Establishment for Statistical Shape Models., , и . 3DPH, том 5903 из Lecture Notes in Computer Science, стр. 25-35. Springer, (2009)Gradient magnitude vs. feature size: comparing 2D histograms for transfer function specification., и . CGI, стр. 115-119. ACM, (2009)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , и 38 other автор(ы). NeuroImage, (2021)Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?, , , , , , , , , и 29 other автор(ы). Human Brain Mapping, 41 (14): 3839-3854 (июля 2020)Training Object Detectors if Only Large Objects are Labeled., , , и . BMVC, стр. 68. BMVA Press, (2021)Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors., , , , , и . ISBI, стр. 2076-2082. IEEE, (2011)2D Histogram based volume visualization: combining intensity and size of anatomical structures., , и . Int. J. Comput. Assist. Radiol. Surg., 5 (6): 655-666 (2010)Articulated atlas for segmentation of the skeleton from head & neck CT datasets., , и . ISBI, стр. 1256-1259. IEEE, (2012)Structure Size Enhanced Histogram., и . Bildverarbeitung für die Medizin, стр. 16-20. Springer, (2009)Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling., , и . GCPR, том 13024 из Lecture Notes in Computer Science, стр. 439-452. Springer, (2021)