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Medical Applications with Disentanglemen
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- Buy it nowMedical Applications with Disentanglements: First MICCAI Workshop, MAD 2022, Hel
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eBay item number:156559457036
Item specifics
- Condition
- Book Title
- Medical Applications with Disentanglements
- ISBN-13
- 9783031250453
- ISBN
- 9783031250453
About this product
Product Identifiers
Publisher
Springer
ISBN-10
3031250451
ISBN-13
9783031250453
eBay Product ID (ePID)
8058381445
Product Key Features
Number of Pages
X, 127 Pages
Publication Name
Medical Applications with Disentanglements : First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Language
English
Subject
Intelligence (Ai) & Semantics, Image Processing, General, Computer Vision & Pattern Recognition
Publication Year
2023
Type
Textbook
Subject Area
Computers, Medical
Series
Lecture Notes in Computer Science Ser.
Format
Trade Paperback
Dimensions
Item Weight
8 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Series Volume Number
13823
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
616.0754
Table Of Content
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.
Synopsis
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.
LC Classification Number
TA1501-1820
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