Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Graph signal processing is increasingly becoming important for discovering latent patterns, primarily higher order ones, in massive, linked, and possibly semistructured data. The latter may well ...

What is Pyrad? Pyrad is a real-time data processing framework developed by MeteoSwiss and MeteoFrance. The framework is aimed at processing and visualizing polar data from individual weather radars as ...

In the current work, we propose hierarchical spatiotemporal graph-regularized correlation filters for robust object tracking. The target sample is decomposed into a large number of deep channels, ...