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245	1	0	_aMedical Applications with Disentanglements _h[electronic resource] : _bFirst MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / _cedited by Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek.
250			_a1st ed. 2023.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023.
300			_aX, 127 p. 40 illus., 26 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x1611-3349 ; _v13823
505	0		_aApplying 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.
520			_aThis 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.
650		0	_aImage processing _xDigital techniques.
650		0	_aComputer vision.
650		0	_aArtificial intelligence.
650		0	_aComputer engineering.
650		0	_aComputer networks .
650		0	_aComputers.
650		0	_aApplication software.
650	1	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aComputer Vision.
650	2	4	_aArtificial Intelligence.
650	2	4	_aComputer Engineering and Networks.
650	2	4	_aComputing Milieux.
650	2	4	_aComputer and Information Systems Applications.
700	1		_aFragemann, Jana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLi, Jianning. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLiu, Xiao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTsaftaris, Sotirios A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aEgger, Jan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKleesiek, Jens. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031250453
776	0	8	_iPrinted edition: _z9783031250477
830		0	_aLecture Notes in Computer Science, _x1611-3349 ; _v13823
856	4	0	_uhttps://doi.org/10.1007/978-3-031-25046-0
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