Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus ; day:21 ; month:7 ; year:2023 ; pages:1-9
International journal of computer assisted radiology and surgery ; (21.7.2023), 1-9

Creator: Bhattacharya, Debayan
Behrendt, Finn
Becker, Benjamin Tobias
Beyersdorff, Dirk
Petersen, Elina
Petersen, Marvin
Cheng, Bastian
Eggert, Dennis
Betz, Christian
Hoffmann, Anna Sophie
Schlaefer, Alexander

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11548-023-02990-3

URN: urn:nbn:de:101:1-2023102516483805477341

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

Last update: 14.08.2025, 10:44 AM CEST

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Associated

Bhattacharya, Debayan
Behrendt, Finn
Becker, Benjamin Tobias
Beyersdorff, Dirk
Petersen, Elina
Petersen, Marvin
Cheng, Bastian
Eggert, Dennis
Betz, Christian
Hoffmann, Anna Sophie
Schlaefer, Alexander
SpringerLink (Online service)

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Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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

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Robotic Systems in Radiotherapy and Radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

Hochschulschrift

Computer assisted planning for robotic radiosurgery

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

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Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus

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Other Objects (12)

Computer assisted planning for robotic radiosurgery

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

Computer assisted planning for robotic radiosurgery

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

Computer assisted planning for robotic radiosurgery

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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

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

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

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

Robotic systems in radiotherapy and radiosurgery

Robotic Systems in Radiotherapy and Radiosurgery

GANs for generation of synthetic ultrasound images from small datasets

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

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