Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...