Deep spectral-based shape features for Alzheimer’s Disease classification
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Updated
Jul 31, 2019 - Python
Deep spectral-based shape features for Alzheimer’s Disease classification
In this repository, we will explore and compare different methods of learning non-linear classifiers such as SVMs and Neural Networks.
This program allows the user to reproduce the results explained in [Joubert et al., 2021] and [Gardy et al., 2021]. User can use the same process and code to produce new meta-analysis on other data.
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 accompanying the master thesis: Learning on Cortical Meshes with Surface Vision Transformers (SiT)
Machine Learning for the Visualization of Alzheimer's Disease
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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