Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
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Updated
Oct 20, 2022 - Jupyter Notebook
Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
A responsive web application that helps members with Mild Cognitive Impairment keep track of their daily routines. This was a class project in partnership with the Aware Home at Georgia Tech under CS 7470 - Ubiquitous Computing taught by Dr. Thomas Ploetz.
[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".
Alzheimer prediction using Ensemble Transfer Learning
Thesis project with title: "Cognitive decline detection using speech features: A machine learning approach"
Task and analysis code for "Linking cognitive integrity to working memory dynamics in the aging human brain"
Alzheimer & MCI DeepLearning (CNN) based Diagnosis Model
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