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Automatic independent component labeling for artifact removal in fMRI.

J. Tohka, K. Foerde, A. Aron, S. Tom, A. Toga, and R. Poldrack. NeuroImage, 39 (3): 1227-1245 (2008)

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Improved estimates of partial volume coefficients from noisy brain MRI using spatial context.J. Manjón, J. Tohka, and M. Robles. NeuroImage, 53 (2): 480-490 (2010)Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.E. Moradi, B. Khundrakpam, J. Lewis, A. Evans, and J. Tohka. NeuroImage, (2017)Simulation and Validation in Brain Image Analysis.J. Tohka, P. Bellec, C. Grova, and A. Reilhac. Comp. Int. and Neurosc., (2016)Automatic extraction of brain surface and mid-sagittal plane from PET images applying deformable models.J. Mykkänen, J. Tohka, J. Luoma, and U. Ruotsalainen. Computer Methods and Programs in Biomedicine, 79 (1): 1-17 (2005)Mind reading with regularized multinomial logistic regression.H. Huttunen, T. Manninen, J. Kauppi, and J. Tohka. Mach. Vis. Appl., 24 (6): 1311-1325 (2013)Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.S. Rueda, S. Fathima, C. Knight, M. Yaqub, A. Papageorghiou, B. Rahmatullah, A. Foi, M. Maggioni, A. Pepe, J. Tohka and 14 other author(s). IEEE Trans. Med. Imaging, 33 (4): 797-813 (2014)Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks.J. Valverde, A. Shatillo, R. de Feo, O. Gröhn, A. Sierra, and J. Tohka. MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 195-202. Springer, (2019)Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation.A. Foi, M. Maggioni, A. Pepe, S. Rueda, J. Noble, A. Papageorghiou, and J. Tohka. Comp. Med. Imag. and Graph., 38 (8): 774-784 (2014)Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI.L. Zhao, J. Hietala, and J. Tohka. MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 216-223. Springer, (2009)Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection.J. Kauppi, H. Huttunen, H. Korkala, I. Jääskeläinen, M. Sams, and J. Tohka. ICANN (2), volume 6792 of Lecture Notes in Computer Science, page 189-196. Springer, (2011)

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Automatic independent component labeling for artifact removal in fMRI.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic independent component labeling for artifact removal in fMRI.

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Automatic independent component labeling for artifact removal in fMRI.