Titlebook: Medical Applications with Disentanglements; First MICCAI Worksho Jana Fragemann,Jianning Li,Jens Kleesiek Conference proceedings 2023 The E

Helmet

书目名称Medical Applications with Disentanglements影响因子(影响力)




书目名称Medical Applications with Disentanglements影响因子(影响力)学科排名




书目名称Medical Applications with Disentanglements网络公开度




书目名称Medical Applications with Disentanglements网络公开度学科排名




书目名称Medical Applications with Disentanglements被引频次




书目名称Medical Applications with Disentanglements被引频次学科排名




书目名称Medical Applications with Disentanglements年度引用




书目名称Medical Applications with Disentanglements年度引用学科排名




书目名称Medical Applications with Disentanglements读者反馈




书目名称Medical Applications with Disentanglements读者反馈学科排名

Estimable

博爱家

978-3-031-25045-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

inculpate

Medical Applications with Disentanglements978-3-031-25046-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

祖先

ELUC

Medicare

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanationss, demonstrating its capacity to anonymize medical images while preserving explanatory evidence and a reasonable level of intelligibility. Finally, we demonstrate that the model is inherently capable of generating counterfactual explanations.

羞辱

Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders augmentation. We show how this framework provides a natural, data-driven approach to probabilistic, instance-specific spatial augmentation. Further, we observe that U-Nets trained on data augmented using this framework compare favorably with U-Nets trained using standard spatial augmentation methods.

争论

bibliophile

0302-9743 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 wi