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Clinical and phantom validation of a deep learning based denoising ...


Clinical and phantom validation of a deep learning based denoising ...

Our aim is to determine the limits of a deep learning based denoising algorithm (SubtlePET) applied to statistically reduced PET raw data from 3 different last ...

Clinical and phantom validation of a deep learning based denoising ...

Based on our results, SubtlePET is adapted in clinical practice for half-time or half-dose acquisitions based on European recommended ...

Clinical and phantom validation of a deep learning based denoising ...

Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the ...

Clinical and phantom validation of a deep learning based denoising ...

[Show full abstract] accuracy of small lung nodules, in addition to visual image quality, using deep learning based denoising methods for oncological PET ...

Clinical and phantom validation of a deep learning based denoising ...

PET/CT image quality is directly influenced by the F-18-FDG injected activity. The higher the injected activity, the less noise in the reconstructed images ...

Additional file 1 of Clinical and phantom validation of a deep ...

Additional file 1 of Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in ...

Radiology AI Research and Publications - Subtle Medical

... reduction in 18F FDG PET acquisition time in digital PET/CT. EJNMMI Physics, 2022. Read · Clinical and phantom validation of a deep learning based denoising ...

Validation of a Denoising Method Using Deep Learning–Based ...

Indeed, new deep learning–based denoising algorithms have become accessible in clinical ... reduction for brain MR imaging: tests on phantoms ...

Deep Learning-Based Denoising of CEST MR Data: A Feasibility ...

... phantoms in refining and validating such neural ... In our study, generating the 10,000 phantoms without multiprocessing on a standard clinical ...

Validation of a Denoising Method Using Deep Learning–Based ...

Indeed, new deep learning–based denoising algorithms have become accessible in clinical ... reduction for brain MR imaging: tests on phantoms ...

Artificial intelligence-based PET denoising could allow a two-fold ...

... clinical routine application. Article 11 March 2024. Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG ...

Benchmarking deep learning‐based low‐dose CT image denoising ...

... phantom measurements may not be representative of the performance on clinical data. 3 FLAWS OF CURRENT EVALUATION PROTOCOLS. In this section ...

Validation of the lesion quantification of a learning-based PET ...

... Clinical evaluation on image quality of a deep learning-based denoising ... phantom study. Hui Liu, J Nucl Med, 2020. Artificial Intelligence, Radiomics, and ...

(PDF) Deep Learning-Based Denoising of CEST MR Data

PDF | Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) provides a novel method for analyzing biomolecule ...

[PDF] Whole-body PET image denoising for reduced acquisition time

Clinical and phantom validation of a deep learning based denoising algorithm ... 2022. TLDR. Deep learning based denoising algorithm SubtlePET is adapted in ...

Performance of a deep learning‐based CT image denoising method ...

The Medical Physics publishes papers helping health professionals perform their responsibilities more effectively and efficiently.

Deep Learning Based Noise Reduction for Brain MR Imaging

Two neuroradiologists assessed the image quality of the three types of images. In the clinical study, we evaluated the denoising effect of dDLR in brain images ...

Comparison of CT noise reduction performances with deep learning ...

Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising ... phantom and 26 clinical cases with more than ...

Deep Learning Image Reconstruction for CT: Technical Principles ...

The clinical introduction of deep learning reconstruction (DLR) algorithms over the past 5 years has demonstrated the potential of DLR to ...

Deep learning-based PET image denoising and reconstruction

In this review, we focus on positron emission tomography (PET) imaging using deep learning in the field of medical imaging [15,16,17,18,19,20,21 ...