Framework for the reproducible processing of neuroimaging data with deep learning methods

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

Framework for the reproducible classification of Alzheimer's disease using machine learning

Penn Utilities for Registration and ParcelLation of Ex vivo MRI

In this project I develop a deep learning CNN model to predict Alzheimer's disease using 3D MRI medical images of the Hippocampus region of the brain.

🧠 A website for early detection and tracking of Alzheimer's disease using AI.

👀 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/

Prediction of alzheimer disease and its severity based on MRI Dataset

Alzheimer disease classification using ResNet50

Machine Learning for the Visualization of Alzheimer's Disease

Analysis about univariate and bivariate MLE between the diagnosis group of 'Alzheimer's Disease', 'Mild Cognitive Impariment', and 'Cognitive Normal'.

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

Visualizing Current and Future Impact of Alzheimer’s Disease

Sex difference analysis on AD metabolome

MATLAB Toolbox for studying Brain Networks of anatomical/functional covariance.

🧠 Detect neurodegenerative patterns early using advanced machine learning with ADNI data for improved insights and outcomes.

BPF Alzheimer's disease validation — ADNI transcriptomics, genomics, DNA methylation, and multi-omic fusion.

Dual-purpose AI/ML platform: NeuroDegenerAI for early detection of Alzheimer's/dementia patterns using ADNI datasets, and Trend Detector for real-time social media topic clustering. Production-ready with FastAPI, Streamlit, Docker, and Google Cloud Run deployment.

FRUGAILS is a free Android app for non-invasive 40Hz auditory and visual stimulation. Based on MIT (and newer) 2023-2026 research, aims to clear toxic brain proteins and protect white matter. A clinical-grade tool designed for global mental health, targeting Alzheimer’s, Parkinson’s, MS, depression, anxiety and cognitive recovery. 🧠✨

🧠 Detect neurodegenerative patterns early using advanced machine learning models with ADNI data for impactful health insights.