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.
Alzheimer prediction using Ensemble Transfer Learning
[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".
Thesis project with title: "Cognitive decline detection using speech features: A machine learning approach"
Alzheimer & MCI DeepLearning (CNN) based Diagnosis Model
Task and analysis code for "Linking cognitive integrity to working memory dynamics in the aging human brain"
Implemented multinomial linear regression and multilayer perceptron neural networks to classify Alzheimer's disease, mild cognitive impairment, and normal control subjects from a large dataset.
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