Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

This page introduces how to use our code for image-based time series forecasting. The code is divided 2 parts: feature extraction with sift or pretrained CNN model combination based on the extracted ...

Have you ever wondered how robots like Sophia or your home assistant can sound so much like humans and understand what we say? Natural Language Processing (NLP) technology enables machines to ...

This repository enables the quantitative analysis of OCTA images. Given a vessel segmentation map, we provide FAZ segmentation and graph feature extraction. We use ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learning models are efficiently used in laboratories for behavior analysis. However, it has not been ...

The brain represents information with neural activity patterns. At the periphery, these patterns contain correlations, which are detrimental to stimulus discrimination. We study the peripheral ...