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Combining Spatial Independent Component Analysis with Regression to Identify the Subcortical Components of Resting-State fMRI Functional Networks.

, , , , , , , , , and . Brain Connect., 4 (3): 181-192 (2014)

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From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities., , , , and . CoRR, (2018)Recent Advances in Neuroimaging Methods., , , and . Int. J. Biomedical Imaging, (2008)The need to develop guidelines for the evaluation of medical image processing procedures., , , , , , , , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference., , , and . IEEE Trans. Medical Imaging, 23 (8): 959-967 (2004)A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis., , , , and . IEEE Trans. Medical Imaging, 30 (7): 1365-1380 (2011)Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models., , , , , and . IEEE Trans. Biomed. Eng., 53 (3): 503-516 (2006)A Low-Cost Implantable Near-Infrared Imaging System of Spinal Cord Activity in the Cat., , , , , and . IEEE Trans. Biomed. Circuits Syst., 4 (5): 329-335 (2010)Investigations of dipole localization accuracy in MEG using the bootstrap., , , , , , , and . NeuroImage, 25 (2): 355-368 (2005)Identification of A Large-Scale Functional Network In Functional Magnetic Resonance Imaging., , , , , , , and . ISBI, page 848-851. IEEE, (2004)Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach., , and . CoRR, (2023)