Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …

As a novel category of biometric features, research on brain fingerprints has become a hot
topic in neuroscience, not only for its reliable performance on individual identification but …

Cancer is the leading cause of death worldwide. Unfortunately, efforts to understand this
disease are confounded by the complex, heterogenous tumor microenvironment (TME) …

Standard practice for using convolutional neural networks (CNNs) in semantic segmentation
tasks assumes that the image intensities are directly used for training and inference. In …

Recent advances in MRI have led to the creation of large datasets. With the increase in data
volume, it has become difficult to locate previous scans of the same patient within these …

Maintenance of brain structure is essential for neurocognitive health. Precision medicine has
interests in understanding how maintenance of an individual person's brain, including …

Multimodal magnetic resonance imaging (MRI) provides complementary information for
investigating brain structure and function; for example, an in vivo microstructure-sensitive …

Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of
interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve …

We propose a novel pairwise distance measure between image keypoint sets, for the
purpose of large-scale medical image indexing. Our measure generalizes the Jaccard index …

Deep learning has attracted the attention of researchers in the last few years due to its
impressive performance on a plethora of computer vision tasks; and medical image analysis …