Applying Disentanglement in the Medical Domain: An Introduction
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoder
Low-rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology Disentanglement
Training [beta]-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Disentangling Factors of Morpholigical Variation in an Invertible Brain Aging Model
A study of representational properties of unsupervised anomaly detection in brain MRI.