Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
Repo for Tang et al, bioRxiv 454793 (2018)
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.
Ally is my first hackathon's project focused on helping out dementia patients
Alzheimer's / dementia progression classifier for MRIs using CNNs and transfer learning
Type 2 diabetes and dementia in the Health and Retirement Study: A Mendelian randomization approach
Mobile (Ionic 3 - Angular 4) app about non-pharmaceutical activities and information for people with dementia.
PEARL-Neuro Dataset: Updates, Additional Study Details, and List of Research Outputs
🏆 HackPrinceton 1st Place (Health Hack + Best Use Machine Learning) - Developed method for Alzheimer’s and Dementia early on-set detection. 💊 Built AWS Lambda backend, NLP classifiers, & integrated software with Amazon Alexa
Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.
DNA Methylation-based Prediction of Midlife Dementia Risk
Wearable AI Facial Recognition Assistive Device For Dementia and Alzheimer's Patients - 2023 ISEF Project
Code for NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records using Deep Learning and Natural Language Processing
Detecting incidents with seniors on early stage dementia
a low-cost, convenient, remote, and consistent platform for research into Dementia
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