CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "CNN-PD-3D: Convolutional Neural Network for Automated Parkinson's Disease Detection from Structural 3D MRI"
version: 1.0.0
date-released: 2026-01-16
url: "https://github.com/yourusername/CNN-PD-3D"
repository-code: "https://github.com/yourusername/CNN-PD-3D"
license: MIT
authors:
  - family-names: "Negida"
    given-names: "Ahmed"
    orcid: "https://orcid.org/0000-0001-5363-6369"
keywords:
  - parkinson's disease
  - deep learning
  - convolutional neural network
  - MRI
  - neuroimaging
  - transfer learning
  - ResNet-18
  - 3D CNN
  - MATLAB
abstract: >-
  CNN-PD-3D is a MATLAB-based deep learning toolbox that uses 
  3D ResNet-18 transfer learning for binary classification of 
  Parkinson's disease vs. healthy controls from structural 
  3D MRI brain scans. The tool includes data augmentation 
  pipelines, training scripts, and a user-friendly GUI for 
  clinical deployment.