Medical Applications with Disentanglements  First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings /  [electronic resource] : 
edited by Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek. 
 - 1st ed. 2023. 
 - X, 127 p. 40 illus., 26 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  13823  1611-3349 ; .
 - Lecture Notes in Computer Science,  13823 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031250460 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-25046-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Image processing--Digital techniques.<br/>Computer vision.<br/>Artificial intelligence.<br/>Computer engineering.<br/>Computer networks .<br/>Computers.<br/>Application software.<br/>Computer Imaging, Vision, Pattern Recognition and Graphics.<br/>Computer Vision.<br/>Artificial Intelligence.<br/>Computer Engineering and Networks.<br/>Computing Milieux.<br/>Computer and Information Systems Applications.
<br/><br/><label>LC Class. No.: </label>TA1501-1820 TA1634 
<br/><br/><label>Dewey Class. No.: </label>006