This article by G. Allan Johnson, Ph.D., focuses on advanced MRI techniques for studying neurodegenerative diseases, exploring the challenges of screening therapies for conditions like Alzheimer’s and ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...

Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...

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 ...

The test subject that produced the first 3D magnetic resonance image was quiet and a bit hairy. Tough on the outside, the patient was a big softie at heart. It was also not human. Nobel Prize-winning ...

Following the improvements detailed in #15, I open this issue to track the activity of training a Convolutional AutoEncoder (using AESTAR code repo) on the dataset generated via the new mapping.

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...

Abstract: Rapid and accurate diagnosis of Alzheimer's disease (AD) is critical for patient treatment, especially in the early stages of the disease. While computer-assisted diagnosis based on ...