April Khademi

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

A survey on deep learning in medical image analysis

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Artificial intelligence in radiology

Single-cell transcriptomic analysis of Alzheimer’s disease

Artificial intelligence for precision education in radiology

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation

Robust White Matter Lesion Segmentation in FLAIR MRI