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Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies.

, , , , , , and . IEEE Trans. Med. Imaging, 26 (9): 1256-1269 (2007)

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Unsupervised robust non-parametric estimation of the hemodynamic response function for any fMRI experiment., , , , , and . IEEE Trans. Med. Imaging, 22 (10): 1235-1251 (2003)XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge., , and . CoRR, (2020)State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge., , , , , , , , , and 13 other author(s). CoRR, (2020)Multivariate semi-blind deconvolution of fMRI time series., , , , and . NeuroImage, (2021)Modulation of scale-free properties of brain activity in MEG., , , and . ISBI, page 1531-1534. IEEE, (2012)Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI., , , , and . SAM, page 415-419. IEEE, (2018)Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI., , , , and . ISBI, page 1532-1536. IEEE, (2019)Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset., , and . ISBI, page 1441-1445. IEEE, (2020)Spatially regularized wavelet leader scale-free analysis of fMRI data., , and . ISBI, page 1248-1251. IEEE, (2018)Anisotropic compressed sensing for non-Cartesian MRI acquisitions., and . CoRR, (2019)