This repository is related to the thesis paper titled as "ALzheimer's Disease & Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks." This thesis paper was accepted and published by IEEE's 3rd INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY ( I2CT), PUNE, INDIA - 6-8 APRIL, 2018.

🏆 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

Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

Dementia is a neurodegenerative disorder, using this web-app we can predict whether the person is suffering from dementia or not

Cognitive test which is for diagnosing dementia.

Predicting Dementia Based on Speech Using GPT-3 Text Embeddings.

An application that allows users to predict the risk of a patient having dementia based from their MRI Scan and other medical data using Three Ensemble machine learning methods

"Vbai" models are trained on MRI and fMRI images for disease diagnosis. Developed by Neurazum.

This project represents my research on dementia classification using audio data.

Fine-tuning Large Language Models (LLMs) for the early detection of Alzheimer's Disease and Related Dementias (ADRD)

Development of new interpretable deep learning frameworks for the early detection of Alzheimer's Disease and Related Dementias (ADRD)

Aiginition Longitudinal Biomarker Investigation Of Neurodegeneration

Discovery of new linguistic markers of Alzheimer's Disease and Related Dementia (ADRD) using stochastic processes and machine learning

"Vbai" models are trained on MRI and fMRI images for disease diagnosis. Developed by Neurazum.