Automated isocenter optimization approach for treatment planning for gyroscopic radiosurgery

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Medical Physics 50 (8): 5212-5221 (2023)

Event: Veröffentlichung

(where): Hamburg

(who): Technische Universität Hamburg. Universitätsbibliothek

(when): 2023

Creator: Stapper, Carolin
Gerlach, Stefan
Hofmann, Theresa
Fürweger, Christoph
Schlaefer, Alexander

DOI: 10.15480/882.8865

URN: urn:nbn:de:101:1-2023122010452531401698

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Stapper, Carolin
Gerlach, Stefan
Hofmann, Theresa
Fürweger, Christoph
Schlaefer, Alexander
Technische Universität Hamburg. Universitätsbibliothek

Time of origin

2023

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Hochschulschrift

Computer assisted planning for robotic radiosurgery

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

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

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

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

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Automated isocenter optimization approach for treatment planning for gyroscopic radiosurgery

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Other Objects (12)

Computer assisted planning for robotic radiosurgery

Robotic systems in radiotherapy and radiosurgery

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Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

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

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

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

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

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

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

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

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

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