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1-10 of 123 results for Deep learning image reconstruction

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Select article: Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience

Open access

Research article

First published 2021-4

Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience

Tormund Njølstad, Anselm Schulz, Johannes C Godt [...]

Acta Radiologica Open

Select article: Super-resolution image reconstruction from sparsity regularization and deep residual-learned priors

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Research article

First published 2023-03-15

Super-resolution image reconstruction from sparsity regularization and deep residual-learned priors

Xinyi Zhong, Ningning Liang, Ailong Cai [...]

Journal of X-Ray Science and Technology

Select article: Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis

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Research article

First published 2022-9

Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis

Aurélien Delabie, Roger Bouzerar, Raphaël Pichois [...]

Acta Radiologica

Select article: Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study

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Research article

First published 2024-05-28

Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study

Haoyan Li, Zhentao Li, Shuaiyi Gao [...]

Journal of X-Ray Science and Technology

Select article: Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: A comparison with intensity filter

Open access

Research article

First published 2021-9

Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: A comparison with intensity filter

Ryo Ogawa, Tomoyuki Kido, Masashi Nakamura [...]

Acta Radiologica Open

Select article: Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis

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Research article

First published 2022-01-22

Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis

Jihang Sun, Haoyan Li, Haiyun Li [...]

Journal of X-Ray Science and Technology

Select article: Assessment of multi-modal magnetic resonance imaging for glioma based on a deep learning reconstruction approach with the denoising method

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Research article

First published 2024-10

Assessment of multi-modal magnetic resonance imaging for glioma based on a deep learning reconstruction approach with the denoising method

Jun Sun, Siyao Xu, Yiding Guo [...]

Acta Radiologica

Select article: A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen

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Research article

First published 2021-07-27

A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen

Ya-Ning Wang, Yu Du, Gao-Feng Shi [...]

Journal of X-Ray Science and Technology

Select article: Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography

Open access

Research article

First published 2022-04-15

Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography

Yifan Bie, Shuo Yang, Xingchao Li [...]

Journal of X-Ray Science and Technology

Select article: Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study

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Research article

First published 2023-03-15

Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study

Pil-Hyun Jeon, Chang-Lae Lee

Journal of X-Ray Science and Technology

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