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Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods., , , and . ISBI, page 1353-1357. IEEE, (2011)Sparse low-dimensional causal modeling for the analysis of brain function., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492R. SPIE, (2019)Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis., , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 867-879. Springer, (2019)Subject-Specific Structural Parcellations Based on Randomized AB-divergences., , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 407-415. Springer, (2017)Variational AutoEncoder For Regression: Application to Brain Aging Analysis., , , , and . CoRR, (2019)A Graph-Based Brain Parcellation Method Extracting Sparse Networks., , , and . PRNI, page 157-160. IEEE, (2013)CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns., , , and . IEEE Trans. Med. Imaging, 35 (2): 612-621 (2016)GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex., , , , , and . NeuroImage, (2015)Riccati-Regularized Precision Matrices for Neuroimaging., and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 275-286. Springer, (2017)Regularized topological data analysis for extraction of coherent brain regions., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490I. SPIE, (2019)