Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma ; volume:14 ; number:1 ; day:25 ; month:10 ; year:2024 ; pages:1-12 ; date:12.2024
Scientific reports ; 14, Heft 1 (25.10.2024), 1-12, 12.2024

Classification: Ingenieurwissenschaften und Maschinenbau

Creator: Lee, Junhyeok
Jung, Woojin
Yang, Seungwook
Park, Jung Hyun
Hwang, Inpyeong
Chung, Jin Wook
Choi, Seung Hong
Choi, Kyu Sung

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-76592-7

URN: urn:nbn:de:101:1-2501311029316.138372866631

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

Last update: 15.08.2025, 7:30 AM CEST

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Lee, Junhyeok
Jung, Woojin
Yang, Seungwook
Park, Jung Hyun
Hwang, Inpyeong
Chung, Jin Wook
Choi, Seung Hong
Choi, Kyu Sung
SpringerLink (Online service)

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Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

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Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

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Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

Learning-based low-rank denoising

Single image super-resolution with denoising diffusion GANS

Structure-aware image denoising, super-resolution, and enhancement methods

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Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

Learning-based low-rank denoising

Single image super-resolution with denoising diffusion GANS

Structure-aware image denoising, super-resolution, and enhancement methods

A survey on deep learning-based Monte Carlo denoising

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Deep learning-based multi-frequency denoising for myocardial perfusion SPECT

IMD-Net: A deep learning-based icosahedral mesh denoising network

Deep learning-based super-resolution in coherent imaging systems

Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

Learning-based and quality preserving super-resolution of noisy images

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Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

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Other Objects (12)

Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

Learning-based low-rank denoising

Single image super-resolution with denoising diffusion GANS

Structure-aware image denoising, super-resolution, and enhancement methods

A survey on deep learning-based Monte Carlo denoising

Comparison of deep learning-based denoising methods in cardiac SPECT

Deep learning-based PET image denoising and reconstruction: a review

Deep learning-based multi-frequency denoising for myocardial perfusion SPECT

IMD-Net: A deep learning-based icosahedral mesh denoising network

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Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

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Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

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Single image super-resolution with denoising diffusion GANS

Structure-aware image denoising, super-resolution, and enhancement methods

A survey on deep learning-based Monte Carlo denoising

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IMD-Net: A deep learning-based icosahedral mesh denoising network

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Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

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Author Correction: Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

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Single image super-resolution with denoising diffusion GANS

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Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

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