SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1861-6429

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing ; volume:15 ; number:9 ; day:18 ; month:6 ; year:2020 ; pages:1427-1436 ; date:9.2020
International journal of computer assisted radiology and surgery ; 15, Heft 9 (18.6.2020), 1427-1436, 9.2020

Creator: Holstein, Lennart
Schlaefer, Alexander

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11548-020-02203-1

URN: urn:nbn:de:101:1-2020100417163321958675

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Holstein, Lennart
Schlaefer, Alexander
SpringerLink (Online service)

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Speckle, Johann

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Speckle, Paul

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SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

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Other Objects (12)

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Computer assisted planning for robotic radiosurgery

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Generalization of spatio-temporal deep learning for vision-based force estimation

Robotic Systems in Radiotherapy and Radiosurgery

Robotic systems in radiotherapy and radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Speckle, Johann

Speckle, Paul

Speckle, Ignaz

Ignaz Speckle

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Computer assisted planning for robotic radiosurgery

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Generalization of spatio-temporal deep learning for vision-based force estimation

Robotic Systems in Radiotherapy and Radiosurgery

Robotic systems in radiotherapy and radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Speckle, Johann

Speckle, Paul

Speckle, Ignaz

Ignaz Speckle

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Computer assisted planning for robotic radiosurgery

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

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Robotic systems in radiotherapy and radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Speckle, Johann

Speckle, Paul

Speckle, Ignaz

Ignaz Speckle

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