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eess.IV2020
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models
Kevin Raina
Discriminative convolutional neural networks (CNNs), for which a voxel-wise conditional Multinoulli distribution is assumed, have performed well in many brain lesion segmentation t…
eess.IV2020
Modelling brain lesion volume in patches with CNN-based Poisson Regression
Kevin Raina
Monitoring the progression of lesions is important for clinical response. Summary statistics such as lesion volume are objective and easy to interpret, which can help clinicians as…
eess.IV2019★ 3 cited
Exploiting bilateral symmetry in brain lesion segmentation
Kevin Raina, Uladzimir Yahorau, Tanya Schmah
Brain lesions, including stroke and tumours, have a high degree of variability in terms of location, size, intensity and form, making automatic segmentation difficult. We propose a…