Ensemble of GANs as a Data Augmentation Technique for Alzheimer research by Raul Pino PyCon Italia 2023

Designing and Developing your own Capstone Project by Raul Pino PyCon Italia 2023

Using PyTorch to Generate Demented Brains by Raul Pino PyCon Italia 2023

● Alzheimer, motivation, and research. ● Capstone project: Idea + value added + metrics. ● Bases: ○ Intro to Deep Learning. ○ Original DCGAN paper. ○ Ensembles of GANs paper. ● Solution & Demo: ○ Dataset exploration. ○ GAN base architecture. ○ Ensemble techniques implementation. ○ Results. ● Takeaways & beyond. Agenda

About me ● Born in Venezuela. ● +10 years of exp as Software Engineer & AI enthusiast (ML Eng recently). ● Living in Chile. ○ Elementus - uBiome - Groupon. ● <3 AI, Coffee, Scuba Diving, …

Alzheimer, motivation & research ● Data scarcity. ● Anonymization. ● Sampling Bias. ● Art & awareness. ● Most common case of dementia. ● Neurodegenerative, loss of neurons. ● Difficult diagnosis. ● No cure.

Capstone project: idea + value added + metrics Deep Learning & Machine Learning Engineer programs. ● Something related to Alzheimer? Datasets? ● Background research? Previous work? ● Anything new? Any papers? Any interesting mix? ○ Ensembles of GANs? #wat? ● Any metrics to test solution?

Basics: Intro Deep Learning Neural Network on structured data like a csv.

Basics: Intro Deep Learning Neural Network on structured data like a csv.

Basics: Intro Deep Learning Neural Network on structured data like a csv.

Basics: Intro Deep Learning Unstructured data like an img. (But what is a neural network? | Chapter 1, Deep learning - 3Blue1Brown)

Basics: Intro Deep Learning Supervised Learning

Basics: GANs & DCGAN Paper Unsupervised Learning

Basics: GANs & DCGAN Paper Architecture guidelines for stable Deep Convolutional GANs: ● Replace any pooling layers with strided convolutions (discriminator) and fractional-strided convolutions (generator). ● Use batchnorm in both the generator and the discriminator. ● Remove fully connected hidden layers for deeper architectures. ● Use ReLU activation in generator for all layers except for the output, which uses Tanh. ● Use LeakyReLU activation in the discriminator for all layers. .

Basics: Ensembles of GANs Ensemble learners - Udacity

Suggest three different training techniques: ● Standard Ensemble of GANs (eGANs). ● Self-ensemble of GANs (seGANs). ● Cascade of GANs (cGANs). Basics: Ensembles of GANs

Standard Ensemble of GANs (eGANs) Basics: Ensembles of GANs

Self-ensemble of GANs (seGANs) Basics: Ensembles of GANs

Cascade of GANs (cGANs) Basics: Ensembles of GANs

Solution & Demo: Dataset exploration Go to https://github.com/p1nox/gan_ensembles/blob/master/data_exploration_viz.ipynb

Solution & Demo: GAN base architecture Go to https://github.com/p1nox/gan_ensembles/blob/master/dcgan_control_model.ipynb

Solution & Demo: Ensemble techniques implementation Go to https://github.com/p1nox/gan_ensembles/blob/master/data_exploration_viz.ipynb

Solution & Demo: Dataset exploration Go to https://github.com/p1nox/gan_ensembles/blob/master/data_exploration_viz.ipynb

Takeaways & beyond Stable Diffusion Midjourney v5 01 Brain Imaging Generation with Latent Diffusion Models 02

Resources ● Ensemble of Generative Adversarial Networks as a Data Augmentation Technique for Alzheimer research https://github.com/p1nox/gan_ensembles/blob/master/capstone_project_docs/proposal.pdf ● Hello Future (2022) Generative AI: a new approach to overcome data scarcity. https://hellofuture.orange.com/en/generative-ai-a-new-approach-to-overcome-data-scarcity/ ● 3Blue1Brown: “But what is a neural network? | Chapter 1, Deep learning” - https://www.youtube.com/watch?v=aircAruvnKk ● Ian Good fellow at Lex Fridman Podcast (2019) Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19. https://www.youtube.com/watch?v=Z6rxFNMGdn0&t=3013s ● Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter (2018) GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. https://arxiv.org/pdf/1706.08500.pdf ● Kaggle (2019) Alzheimer's Dataset ( 4 class of Images) - Images of MRI Segementation. https://www.kaggle.com/datasets/tourist55/alzheimers-dataset-4-class-of-images ● Kaggle (2020) I'm Something of a Painter Myself: Use GANs to create art - will you be the next Monet?. https://www.kaggle.com/competitions/gan-getting-started/overview/evaluation ● Can Kocagil (2021) DCGAN paper implementation using PyTorch to generate faces. https://github.com/cankocagil/DCGAN ● Steven Lang (2021) FID score for PyTorch. https://github.com/mseitzer/pytorch-fid ● Udacity Ensembles learners https://www.youtube.com/watch?v=Un9zObFjBH0

“mri happy brain“ Grazie