There are 10 repositories under alzheimers-disease topic.
Aliro: AI-Driven Data Science
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Early detection of AD is promising as it can help lot of patients to predetermine the condition they may face in future. AD being progressive, can be prevented if detected early. On worse stage, the curing of this disease is very difficult and expensive. So, by analyzing the consequences of AD, we can make use of Artificial intelligence technology by using MRI scanned images to classify the patients if they may or may not have AD in future. Using of Bio-inspired algorithm can maximize the result and accuracy for this purpose. After comparing the results of the various AI technologies, CSA came to be the best approach, using it with ML algorithms.
Classification of Alzheimer's disease status with convolutional neural networks.
An attempt to diagnose Alzheimer's disease earlier
Implementation of a 3D Convolutional Neutral Network in Keras on an Alzheimers Disease MRI Scan Dataset
A Folding@Home Docker container with GPU support
Repo for Tang et al, bioRxiv 454793 (2018)
E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)
Integrating AI to Clinical Workflow
Classification of Alzheimer disease using different machine learning models.
5th Place Solution to HUAWEI PRCV Challenge 2021 Alzheimer's Disease Classification Task
For more information, refer to https://www.frontiersin.org/articles/10.3389/fnins.2019.00509/full
Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)
This GitHub repo showcases my AI skills with computer vision and reinforcement learning projects. Detailed documentation and code provided.
Deep spectral-based shape features for Alzheimer’s Disease classification
A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
Epigenome-wide analysis of DNA methylation from Alzheimer's patients and unaffected controls
Term project for CMPT 275: Software Engineering I
👀 An all-purpose eye tracking web application and API for Alzheimer's disease research (3 tasks, <3 mins). 1st place in the 2021 CNT hackathon https://www.cnthackathon.org/
Multimodal deep learning in neuroimaging
Alzheimer's prediction system deployed on streamlit that employs Logistic Regression to classify whether a person is prone to having Alzheimer's Disease or not.
[MedIA 2024] This is a code implemention of the joint learning framework proposed in the manuscipt "Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information".
All analysis of AD scMultiomics data from Anderson and Rogers et al. 2022
Tools for MRI classification of Alzheimer's disease using 3D CNN networks
An android app to help in the day-to-day life for Alzheimer's Disease patients.
Pre-trained 3D CNNs
My masters thesis where I built a model pipeline using a CNN, SVM, and a custom SMOTE oversampling technique to identify and classify Alzheimer's in brain CT scans.
Various code from my master's project
[WACV 2024] Official PyTorch implementation of Brainomaly