GitHub

Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities

This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...
GitHub

Nadav-Elami/birdsong-seq-autoencoder

A research-grade Python package for LFADS-style sequential autoencoder analysis of birdsong syntax and neural dynamics. This package provides comprehensive tools for data generation, model training, ...
IEEE

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Abstract: Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, ...
JSTOR Daily

Autoencoder networks for HIV classification

In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...
IEEE

Autoencoder for 4-Dimensional Fiber Orientation Distributions from Diffusion MRI

Abstract: 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; ...