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Medical applications with disentangl...

MICCAI Workshop on Medical Applications with Disentanglements (2022 :)

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Medical applications with disentanglements/ edited by Jana Fragemann ... [et al.].
其他題名:	first MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
其他題名:	MAD 2022
其他作者:	Fragemann, Jana.
團體作者:	MICCAI Workshop on Medical Applications with Disentanglements
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	x, 127 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Imaging systems in medicine - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-25046-0
ISBN:	9783031250460

Medical applications with disentanglements = first MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Medical applications with disentanglementsfirst MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :MAD 2022edited by Jana Fragemann ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 127 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138231611-3349 ;. - Lecture notes in computer science ;13823..

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.

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.

ISBN: 9783031250460

Standard No.: 10.1007/978-3-031-25046-0doiSubjects--Topical Terms:

708689
Imaging systems in medicine
--Congresses.

LC Class. No.: R857.O6

Dewey Class. No.: 616.0754

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