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Identification of cortical landmarks based on structural connectivity to subcortical regions.

, , , , , , , , , and . Int. J. Comput. Biol. Drug Des., 4 (4): 345-360 (2011)

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Fine granularity parcellation of gyrus via fiber shape and connectivity based features., , , , , , , , and . ISBI, page 817-821. IEEE, (2011)Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN., , , , , and . ISBI, page 79-82. IEEE, (2019)Group-wise optimization and individualized prediction of structural connectomes., , , , , and . ISBI, page 742-745. IEEE, (2014)Evolutionarily-preserved consistent gyral folding patterns across primate brains., , , , , , , , , and . ISBI, page 1218-1221. IEEE, (2014)Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning., , , , and . CoRR, (2022)Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations., , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 716-723. Springer, (2014)Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering., , , , , , , , , and . IEEE Trans. Medical Imaging, 32 (9): 1576-1586 (September 2013)Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models., , , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 13-24. Springer, (2013)Identification of cortical landmarks based on structural connectivity to subcortical regions., , , , , , , , , and . Int. J. Comput. Biol. Drug Des., 4 (4): 345-360 (2011)3-D functional brain network classification using Convolutional Neural Networks., , , , , and . ISBI, page 1217-1221. IEEE, (2017)