Medical applications with disentanglements: First MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 :proceedings

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 r...

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Bibliographische Detailangaben
Körperschaften: MICCAI MAD Workshop, Singapur; Online (VerfasserIn) , International Conference on Medical Image Computing and Computer Assisted Intervention (BerichterstatterIn)
Weitere Verfasser: Fragemann, Jana (HerausgeberIn) , Li, Jianning (HerausgeberIn) , Liu, Xiao (HerausgeberIn) , Tsaftaris, Sotirios A. (HerausgeberIn) , Egger, Jan (HerausgeberIn) , Kleesiek, Jens Philipp (HerausgeberIn)
Dokumenttyp: Article (Journal) Konferenzschrift
Sprache:Englisch
Veröffentlicht: Cham Springer [2023]
Schriftenreihe:Lecture notes in computer science 13823
In: Lecture notes in computer science (13823)

Volumes / Articles: Show Volumes / Articles.
Schlagworte:
Online-Zugang:Verlag, Cover: http://www.dietmardreier.de/annot/4B56696D677C7C39363236323039367C7C434F50.jpg?sq=1
Inhaltsverzeichnis: https://www.gbv.de/dms/tib-ub-hannover/1833347498.pdf
Volltext
Verfasserangaben:Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek (eds.)
Inhaltsangabe:
  • 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.