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Vessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience., , , , , , , , , and 2 other author(s). NeuroImage, (July 2023)PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation., , , , , , , and . CoRR, (2023)DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data., , , , , , , , , and . J. Imaging, 8 (10): 259 (2022)A robust multi-scale approach to quantitative susceptibility mapping., , , , , and . NeuroImage, (2018)Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI., , , , , and . Bildverarbeitung für die Medizin, page 107-112. Springer, (2020)A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (5): 837-844 (May 2023)DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset., , , , , , , , and . CoRR, (2020)