Proximity-based haptic feedback for collaborative robotic needle insertion

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13235 LNCS: 301-309 (2022)

Event: Veröffentlichung

(where): Hamburg

(who): Universitätsbibliothek der Technischen Universität Hamburg

(when): 2022

Creator: Mieling, Till Robin
Stapper, Carolin
Gerlach, Stefan
Neidhardt, Maximilian
Latus, Sarah
Gromniak, Martin
Breitfeld, Philipp
Schlaefer, Alexander

DOI: 10.15480/882.4539

URN: urn:nbn:de:gbv:830-882.0194476

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:36 AM CEST

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Associated

Mieling, Till Robin
Stapper, Carolin
Gerlach, Stefan
Neidhardt, Maximilian
Latus, Sarah
Gromniak, Martin
Breitfeld, Philipp
Schlaefer, Alexander
Universitätsbibliothek der Technischen Universität Hamburg

Time of origin

2022

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Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

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A novel optical needle probe for deep learning-based tissue elasticity characterization

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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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Enhancing haptic feedback of subsurfaces during needle insertion

Hochschulschrift

Computer assisted planning for robotic radiosurgery

Needle placement accuracy in CT-guided robotic post mortem biopsy

Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

Needle tip force estimation by deep learning from raw spectral OCT data

A novel optical needle probe for deep learning-based tissue elasticity characterization

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

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

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

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

GANs for generation of synthetic ultrasound images from small datasets

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Proximity-based haptic feedback for collaborative robotic needle insertion

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Other Objects (12)

Enhancing haptic feedback of subsurfaces during needle insertion

Computer assisted planning for robotic radiosurgery

Needle placement accuracy in CT-guided robotic post mortem biopsy

Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

Needle tip force estimation by deep learning from raw spectral OCT data

Needle tip force estimation by deep learning from raw spectral OCT data

A novel optical needle probe for deep learning-based tissue elasticity characterization

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

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

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

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

GANs for generation of synthetic ultrasound images from small datasets

Enhancing haptic feedback of subsurfaces during needle insertion

Computer assisted planning for robotic radiosurgery

Needle placement accuracy in CT-guided robotic post mortem biopsy

Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

Needle tip force estimation by deep learning from raw spectral OCT data

Needle tip force estimation by deep learning from raw spectral OCT data

A novel optical needle probe for deep learning-based tissue elasticity characterization

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

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

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

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

GANs for generation of synthetic ultrasound images from small datasets

Enhancing haptic feedback of subsurfaces during needle insertion

Computer assisted planning for robotic radiosurgery

Needle placement accuracy in CT-guided robotic post mortem biopsy

Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

Needle tip force estimation by deep learning from raw spectral OCT data

Needle tip force estimation by deep learning from raw spectral OCT data

A novel optical needle probe for deep learning-based tissue elasticity characterization

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

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

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

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

GANs for generation of synthetic ultrasound images from small datasets

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