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Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)., , , , , , и . MCV, том 6533 из Lecture Notes in Computer Science, стр. 164-173. Springer, (2010)ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables., , и . PRNI, стр. 161-164. IEEE, (2013)Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition., , , , и . IEEE Trans. Med. Imaging, 35 (8): 1937-1951 (2016)A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises., , , , , , , , и . Proc. IEEE, 109 (5): 820-838 (2021)Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels., , и . IEEE Trans. Medical Imaging, 23 (10): 1276-1291 (2004)ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images., , , и . IEEE Trans. Medical Imaging, 27 (8): 1003-1017 (2008)Feature selection and classification of multiparametric medical images using bagging and SVM., , и . Medical Imaging: Image Processing, том 6914 из SPIE Proceedings, стр. 69140Q. SPIE, (2008)Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity, , , , , , , , , и 4 other автор(ы). (11.08.2016)GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex., , , , , и . NeuroImage, (2015)Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI., , , , , и . NeuroImage, (2015)