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eess.IV2022
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation
Xuan Li, Paule-J Toussaint, Alan Evans +1
The lack of a comprehensive high-resolution atlas of the cerebellum has hampered studies of cerebellar involvement in normal brain function and disease. A good representation of th…
eess.IV2020
Local semi-supervised approach to brain tissue classification in child brain MRI
Nataliya Portman, Paule-J Toussaint, Alan C. Evans
Most segmentation methods in child brain MRI are supervised and are based on global intensity distributions of major brain structures. The successful implementation of a supervised…
eess.IV2020
Novel solutions toward high accuracy automatic brain tissue classification in young children
Nataliya Portman, Paule-J Toussaint, Alan C. Evans McConnell
Accurate automatic classification of major tissue classes and the cerebrospinal fluid in pediatric MR scans of early childhood brains remains a challenge. A poor and highly variabl…