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Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective.

, , , , and . Brain Connect., 6 (3): 201-207 (2016)

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Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework., , , , and . ISBI, page 333-336. IEEE, (2014)Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective., , , , and . Brain Connect., 6 (3): 201-207 (2016)Default Mode Network Engagement Beyond Self-Referential Internal Mentation., , , , and . Brain Connect., 8 (4): 245-253 (2018)TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation., , , , , , , , , and 7 other author(s). BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 13-22. Springer, (2019)Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation., , , , , , , and . Medical Image Anal., (2017)Unsupervised domain adaptation in brain lesion segmentation with adversarial networks., , , , , , , , , and 1 other author(s). CoRR, (2016)Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks., , , , , , , , , and 1 other author(s). IPMI, volume 10265 of Lecture Notes in Computer Science, page 597-609. Springer, (2017)Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation., , , , , , , , , and 2 other author(s). DART/FAIR@MICCAI, volume 12968 of Lecture Notes in Computer Science, page 79-89. Springer, (2021)