A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Aliro: AI-Driven Data Science

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

AssemblyNet: 3D Whole Brain MRI segmentation pipeline

👀 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/

Deep spectral-based shape features for Alzheimer’s Disease classification

Code for implementing the Aggregation-Network diffusion model (AND), as described in the paper: "Combined Model of Aggregation And Network Diffusion Recapitulates Alzheimer’s Regional Tau-PET " by Ashish Raj*, Veronica Tora, Xiao Gao, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Chul Hyoung Lyoo, Bruno Franchi. *Department of Radiology and Biomedic…

In this repository, we will explore and compare different methods of learning non-linear classifiers such as SVMs and Neural Networks.

Application of AI in 3D Medical Imaging in quantifying Alzheimer's disease progression through automated measurement of hippocampal volume

A project that uses convolutional networks to classify the severity of Alzheimer's disease on the basis of images taken magnetic resonance imaging. The program was written in python using the keras and tensorflow packages.

Code for "Automated Detection of Alzheimer’s Disease: A Multi-modal Approach With 3D MRI and Amyloid PET" paper

딥러닝 기법을 이용하여 알츠하이머의 아밀로이드 PET 이미지를 분류하는 자료입니다.

Open data analysis platform for Alzheimer's disease. Created for CS50 at Harvard College.

Machine Learning for the Visualization of Alzheimer's Disease

Amazon Alexa Plugin zur Unterstützung von Patienten mit Demenz bei der Einhaltung von Terminen und der Berechnung von Routen.

The speech pauses duration corpus and scripts that ensure reproducibility of all results presented in the research paper. P. Pastoriza, I.G. Torre, F. Dieguez, I. Gomez, S. Gelado, J. Bello, A. Avila, J. Matias, V. Pytell, A. Hernandez-Fernandez (2022). Speech pause distribution as an early marker for Alzheimer’s disease. Speech Communication. 1…

Progetto per il corso EMAD in collaborazione con IBM. TEAM: Sergio del Sorbo, Emanuele Fittipaldi, Alessandra Parziale, Paolo Plomitallo