Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Accurate assessment of gross motor function in children with cerebral palsy (CP) is essential for clinical decision-making, yet current practice is limited by data scarcity, severe class ...

An emerging body of multidisciplinary literature has documented the beneficial influence of physical activity engendered through aerobic exercise on selective aspects of brain function. Human and ...

It also reports execution times for CPU and GPU and prints speedup. So conceptually this is similar to image convolution with an averaging kernel, then thresholding the original image using that local ...

Medication error is a major cause of preventable harm in healthcare. Superficially, solutions to medication error appear simple, however medication administration ...

This repository contains a Proof of Concept (PoC) for building an Autonomous Driving Data Annotation Pipeline using a multi-sensor dataset. The PoC focuses on camera-based annotation tasks while also ...