Wearable AI Facial Recognition Assistive Device For Dementia and Alzheimer's Patients - 2023 ISEF Project

Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

El proyecto denominado "Implementación de un modelo predictivo basado en redes neuronales convolucionales 3D en el paso de deterioro cognitivo leve a Alzheimer sobre imágenes por resonancia magnética" muestra una estructura de red neuronal convolucional 3D cuyo objetivo es servir como apoyo médico a partir de la detección temprana del Alzheimer

project to detect Alzheimer's disease stages from MRI scans using deep learning, featuring api to accept images

Feature extraction of Open Access Series of Imaging Studies (OASIS) using Keras applications.

A tool for the classification of Alzheimer's Disease associated genes

This Repo contains analysis and applications that would help Alzheimer Patients

[JBHI 2024] This is a code implementation of the hybrid-granularity ordinal learning proposed in the manuscript "HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment".

A project that uses convolutional networks to classify the severity of Alzheimer's disease on the basis of images taken magnetic resonance imaging. The program was written in python using the keras and tensorflow packages.

A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.

Code for the paper "Temporal clustering with external memory network for disease progression modeling". Accepted by ICDM 2021.

Metabolomics data processing for the ADNI data sets

CA1_Cutsuridis_new, Using Magnesium to simulate impact on Alzheimer's Disease

An extensible framework to experiment with traditional machine learning algorithms on multiple data modalities for binary classification.

Hello! We are an international group of students researching deep learning applications for Alzheimer's disease. We aim to introduce a better model for AD diagnosis. Our names are Hugo Jal Hernández, Ravi Shah, Parth Parik.

Diagnostic Classification of Alzheimer’s Disease using an Ensemble of CNNs

AI and AR-based digital memory lane and cognitive stimulation for dementia patients

dementiaHack Toronto 2017

Sex difference analysis on AD metabolome