Medical applications with disentanglements: First MICCAI Workshop, MAD 2022, held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
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...
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| Körperschaften: | , |
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| Weitere Verfasser: | , , , , , |
| Dokumenttyp: | Article (Journal) Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2023.
Cham Imprint: Springer 2023. |
| Ausgabe: | 1st ed. 2023. |
| Schriftenreihe: | Lecture Notes in Computer Science
13823 |
| DOI: | 10.1007/978-3-031-25046-0 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-031-25046-0
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| Verfasserangaben: | edited by Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek |
| Zusammenfassung: | 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 β-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. This book constitutes the post-conference proceedings of the First MICCAI Workshop on Medical Applications with Disentanglements, MAD 2022, held in conjunction with MICCAI 2022, in Singapore, on September22, 2022. The 8 full papers presented in this book together with one short paper were carefully reviewed and cover generative adversarial networks (GAN), variational autoencoders (VAE) and normalizing-flow architectures as well as a wide range of medical applications, like brain age prediction, skull reconstruction and unsupervised pathology disentanglement. |
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| Beschreibung: | Online Resource |
| ISBN: | 9783031250460 |
| DOI: | 10.1007/978-3-031-25046-0 |