This repository is the official implementation of "Deep learning-based EEG analysis to classify mild cognitive impairment for early detection of dementia: algorithms and benchmarks" from the CNIR (CAU NeuroImaging Research) team.

Scripts and resources to support the Compliance Build-Intent engagements at https://aka.ms/mci/workshops

A German simulation system for training emergency medical services leadership personnel on how to manage Mass Casualty Incidents.

Organize the entire ADNI dataset based on the group name (AD, MCI, CN) locally

Code for paper 'Obtaining leaner DNN for decoding brain functional connectome in a single shot'

Implementation of "Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning"

Audio-, Video-, Grafikprogrammierung

drivers for multiple peripheral of the SAME70Q21 made for the XPLD board

SMS/USSD sending/receiving with HUAWEI E5577Cs-603 LTE modems.

Simple audio player using win32 mci

a mobile application that provides memory support for senior citizens with Mild Cognitive Impairment. The app is designed to integrate with Android Wear smartwatches and was developed using Java, Kotlin, and Firebase technologies

Micropython

RED9 | Service Delivery Platform for Iran Mobile Operators | Console

Projeto integrado

A simple Win32 MCICDA encapsulation.

Winmm MCI CDDA(CD-DigitalAudio) tester

Organize the entire OASIS1 dataset based on the group name (AD, MCI, CN) locally

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer disease and mild cognitive impairment using 18F-FDG PET of the brain.

🎨 Concept for a framework based on state of the art technology and libaries for secure data sharing and online collaboration, as well as focus on the ux and ui of said framework