Jana Fragemann,
Jianning Li,
Xiao Liu,
Sotirios A. Tsaftaris,
Jan Egger,
Jens Kleesiek
e.a.
Springer Nature Switzerland
e druk, 2023
9783031250453
Medical Applications with Disentanglements
First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Specificaties
Paperback, blz.
|
Engels
Springer Nature Switzerland |
e druk, 2023
ISBN13: 9783031250453
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783031250453
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Switzerland
Inhoudsopgave
<p>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.</p>