MAD@MICCAI

Publications

volume 13823, 2023

Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MAD@MICCAI 13823 (2023)

2022

Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI (2022)
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI (2022)
Hristina Uzunova, Heinz Handels, Jan Ehrhardt
Low-Rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology Disentanglement. MAD@MICCAI (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI (2022)
Ayantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI. MAD@MICCAI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI (2022)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs. MAD@MICCAI (2022)
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model. MAD@MICCAI (2022)
Helena Montenegro, Wilson Silva, Jaime S. Cardoso
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations. MAD@MICCAI (2022)