Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …

To the Editor—Methods for analyzing single-cell data 1–4 perform a core set of
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …

Most spatial transcriptomics technologies are limited by their resolution, with spot sizes
larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can …

Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of
single cells offers a powerful way to study cellular diversity. Here we present MultiVI, a …

The application of multiple omics technologies in biomedical cohorts has the potential to
reveal patient-level disease characteristics and individualized response to treatment …

Latent variable models such as the Variational Auto-Encoder (VAE) have become a go-to
tool for analyzing biological data, especially in the field of single-cell genomics. One …

In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Anomaly detection is currently an essential quality monitoring process in industrial
production. It is often affected by factors such as under or over reconstruction of images and …

Variational autoencoders (VAEs) are deep latent space generative models that have been
immensely successful in multiple exciting applications in biomedical informatics such as …