Learning the about COPD

Previous work of the lab

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
A Simple Framework for Contrastive Learning of Visual Representations
Extracting and Composing Robust Features with Denoising Autoencoders
Context Encoders: Feature Learning by Inpainting
Self-supervised learning for medical image analysis using image context restoration
Self-supervised Representation Learning for Ultrasound Video

Adversarial Latent Autoencoders
Auto-GAN:Self-Supervised Collaborative Learning for Medical Image Synthesis
Prescribed Generative Adversarial Networks
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Wasserstein Dependency Measure for Representation Learning
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
Mutual Information Neural Estimation
Unsupervised Feature Learning via Non-Parametric Instance Discrimination
Learning deep representations by mutual information estimation and maximization
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
An Introduction to Variational Autoencoders
Adversarial Fisher Vectors for Unsupervised Representation Learning
Neural Discrete Representation Learning
Improved Training of Wasserstein GANs
MMD GAN: Towards Deeper Understanding of Moment Matching Network
On the "steerability" of generative adversarial networks

Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
GANSpace: Discovering Interpretable GAN Controls
High-Fidelity Synthesis with Disentangled Representation
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Disentangled representation learning in cardiac image analysis