Medical applications with disentanglements: First MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 :proceedings
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 r...
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| Weitere Verfasser: | , , , , , |
| Dokumenttyp: | Article (Journal) Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
[2023]
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| Schriftenreihe: | Lecture notes in computer science
13823 |
| In: |
Lecture notes in computer science (13823)
|
| Volumes / Articles: | Show Volumes / Articles. |
| Schlagworte: | |
| Online-Zugang: | Verlag, Cover: http://www.dietmardreier.de/annot/4B56696D677C7C39363236323039367C7C434F50.jpg?sq=1 Inhaltsverzeichnis: https://www.gbv.de/dms/tib-ub-hannover/1833347498.pdf |
| Verfasserangaben: | Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek (eds.) |
MARC
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| 245 | 1 | 0 | |a Medical applications with disentanglements |b First MICCAI Workshop, MAD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 :proceedings |c Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek (eds.) |
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| 505 | 8 | |a 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 beta-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 | |a 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 | ||
| 650 | 4 | |a Bildverarbeitung | |
| 650 | 4 | |a COMPUTERS / Artificial Intelligence | |
| 650 | 4 | |a COMPUTERS / Computer Graphics / General | |
| 650 | 4 | |a COMPUTERS / Computer Vision & Pattern Recognition | |
| 650 | 4 | |a COMPUTERS / Data Processing / General | |
| 650 | 4 | |a COMPUTERS / Networking / General | |
| 650 | 4 | |a COMPUTERS / Social Aspects / Human-Computer Interaction | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Computeranwendungen in Industrie und Technologie | |
| 650 | 4 | |a Image processing | |
| 650 | 4 | |a Maschinelles Sehen, Bildverstehen | |
| 650 | 4 | |a Medical bioinformatics | |
| 650 | 4 | |a Medizinische Informatik | |
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| 711 | 2 | |a International Conference on Medical Image Computing and Computer Assisted Intervention |n 25. |d 2022 |c Singapur; Online |j Sonstige Person, Familie und Körperschaft |0 (DE-588)1270750445 |0 (DE-627)1819519597 |4 oth | |
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