Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

Color your memories

AssemblyNet: 3D Whole Brain MRI segmentation pipeline

Central API for Prisma

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

Multimodal Virtual Presence Agent that uses advanced voice and vision capabilities to offer real-time, familiar-feeling conversations for people with Alzheimer’s. When a primary caregiver can’t be present, Relief provides comforting, supportive interactions—offering reassurance for loved ones and meaningful peace of mind for caregivers.

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

Single HTML5 file Dementia/Alzheimer Clock