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Predicting temporal lobe volume on MRI from genotypes using L1-L2 regularized regression.

, , , , , , , , и . ISBI, стр. 1160-1163. IEEE, (2012)

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Corrigendum to Ä validated network of effective amygdala connectivity" NeuroImage 36 (2007) 736-745., , , , , , и . NeuroImage, 39 (1): 548 (2008)A validated network of effective amygdala connectivity., , , , , , и . NeuroImage, 36 (3): 736-745 (2007)Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts., , , , , , , , , и 2 other автор(ы). MICCAI (3), том 8151 из Lecture Notes in Computer Science, стр. 600-607. Springer, (2013)Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies., , , , , , , , , и 5 other автор(ы). MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 690-697. Springer, (2013)Cross Modality Microscopy Segmentation via Adversarial Adaptation., , , , , , и . IWBBIO (2), том 11466 из Lecture Notes in Computer Science, стр. 469-478. Springer, (2019)SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images., , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 1920-1932 (2022)Principal components regression: Multivariate, gene-based tests in imaging genomics., , , , , , , и . ISBI, стр. 289-293. IEEE, (2011)Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression., , , , , , , и . ISBI, стр. 1855-1859. IEEE, (2011)3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images., , , , , , , и . IPMI, том 12729 из Lecture Notes in Computer Science, стр. 504-516. Springer, (2021)Cell Counting with Inverse Distance Kernel and Self-supervised Learning., , , , , и . MOVI@MICCAI, том 13578 из Lecture Notes in Computer Science, стр. 1-10. Springer, (2022)