Research in graph signal processing (GSP) aims to develop tools for processing data
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …

In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

The airways of the lung are the primary sites of disease in asthma and cystic fibrosis. Here
we study the cellular composition and hierarchy of the mouse tracheal epithelium by single …

Small cell lung cancer (SCLC) is a neuroendocrine tumor treated clinically as a single
disease with poor outcomes. Distinct SCLC molecular subtypes have been defined based …

While the role of cortical microstructure in organising neural function is well established, it
remains unclear how structural constraints can give rise to more flexible elements of …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

A central principle for understanding the cerebral cortex is that macroscale anatomy reflects
a functional hierarchy from primary to transmodal processing. In contrast, the central axis of …

INTRODUCTION Dendritic cells (DC) are professional antigen-presenting cells that
orchestrate immune responses. The human DC population comprises multiple subsets …

We propose the Lanczos network (LanczosNet), which uses the Lanczos algorithm to
construct low rank approximations of the graph Laplacian for graph convolution. Relying on …

In social settings, individuals interact through webs of relationships. Each individual is a
node in a complex network (or graph) of interdependencies and generates data, lots of data …