Morning Session - Classification of AD

Introduction to Classification

(slides)

Content

Using Deep Learning for Classification
Convolutional Neural Networks
Other...

Notebook 1: Classification of Alzheimer's disease diagnosis (Part 1)

Learning goals:

Content

Brief description

Notebook 2: Classification of Alzheimer's disease diagnosis (Part 2)

Learning goals:

Content

Brief description

Afternoon Session - Conditional Generative Adversarial Network

Introduction to CGANs

(slides)

Content

What is CGANs ?
The Generator
The Discrimminator
Other...

Notebook 1: Conditional Generative Adversarial Network

Learning goals:

Content

Create a cGAN with a given architecture for the generator and for the discriminator.
Train this cGAN on the IXI dataset to transform T1-w MRI into T2-w MRI.
Evaluate the quality of the generated images using standard metrics.