That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...

This repository contains the implementation of a Triplet Variational Autoencoder (Tri-VAE) designed to detect anomalies in brain MRI scans. The method is inspired by the CVPR 2024 paper: "Triplet ...

Fiber orientation distributions (FODs) are widely used in connectome analysis based on diffusion MRI. Spherical har-monics (SPHARMs) are often used for the efficient repre-sentation of FODs; however, ...

With the rapid growth of electric vehicle (EV) adoption, ensuring the reliability and safety of their battery systems is of significant importance. Current anomaly detection methods, which rely ...