Abstract is missing.
- Applying Disentanglement in the Medical Domain: An Introduction for the MAD WorkshopJana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek. 3-11 [doi]
- HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual InformationXiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris. 15-21 [doi]
- Implicit Embeddings via GAN Inversion for High Resolution Chest RadiographsTobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer. 22-32 [doi]
- Disentangled Representation Learning for Privacy-Preserving Case-Based ExplanationsHelena Montenegro, Wilson Silva, Jaime S. Cardoso 0001. 33-45 [doi]
- Instance-Specific Augmentation of Brain MRIs with Variational AutoencodersJon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai. 49-58 [doi]
- Low-Rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology DisentanglementHristina Uzunova, Heinz Handels, Jan Ehrhardt. 59-69 [doi]
- Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled DecoderJianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger. 70-92 [doi]
- Disentangling Factors of Morphological Variation in an Invertible Brain Aging ModelMatthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert. 95-107 [doi]
- A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRIAyantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam. 111-125 [doi]