Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-020-07566-2
Abstract: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR), hybrid iterative reconstruction (hybrid-IR), or model-based IR (MBIR) in comparison with standard-dose (SD) U-HRCT images reconstructed with… read more here.
Keywords: reduction; radiation dose; dlr; hrct ... See more keywords
Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT
Sign Up to like & getrecommendations! Published in 2025 at "European Radiology"
DOI: 10.1007/s00330-025-11596-z
Abstract: Deep learning reconstruction (DLR) has shown promising image denoising ability, but its radiation dose reduction potential remains unknown. The objective of this study was to investigate the diagnostic performance of DLR compared to iterative reconstruction… read more here.
Keywords: detection; dose; standard dose; liver lesions ... See more keywords
Advantages of deep learning reconstruction algorithm in ultra-high-resolution CT for the diagnosis of pancreatic cystic neoplasm
Sign Up to like & getrecommendations! Published in 2025 at "Japanese Journal of Radiology"
DOI: 10.1007/s11604-025-01804-7
Abstract: This study aimed to evaluate the image quality and clinical utility of a deep learning reconstruction (DLR) algorithm in ultra-high-resolution computed tomography (UHR-CT) for the diagnosis of pancreatic cystic neoplasms (PCNs). This retrospective study included… read more here.
Keywords: deep learning; diagnosis; image; learning reconstruction ... See more keywords
Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.
Sign Up to like & getrecommendations! Published in 2022 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2022.110280
Abstract: PURPOSE This clinical and phantom study aimed to evaluate the impact of deep learning-based reconstruction (DLR) on image quality and its radiation dose optimization capability for multiphase hepatic CT relative to hybrid iterative reconstruction (HIR).… read more here.
Keywords: multiphase hepatic; dlr; image; phantom study ... See more keywords
DLR-supported overcurrent line protection for blackout prevention
Sign Up to like & getrecommendations! Published in 2018 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2017.10.009
Abstract: Abstract Analysis of recent blackouts over the past decade has indicated overloads as being responsible for initiation and development of most large area failures. The overload occurrences have also been found to correspond especially with… read more here.
Keywords: protection; relay; dlr; line ... See more keywords
A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/4034404
Abstract: The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients' data were used in this… read more here.
Keywords: dlr; esophageal cancer; survival; deep learning ... See more keywords
MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction
Sign Up to like & getrecommendations! Published in 2025 at "Acta Radiologica"
DOI: 10.1177/02841851251355844
Abstract: Background Higher-resolution magnetic resonance imaging sequences are needed for the early detection of pancreatic cancer. Purpose To compare the quality of our novel T2-weighted, high-contrast, thin-slice imaging sequence, with an improved spatial resolution and deep… read more here.
Keywords: tse dlr; haste; t1w imaging; dlr ... See more keywords
Investigating the genetic imprint of long body length, high lean meat rate, high fertility and long gestation period in Danish Landrace pigs
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DOI: 10.1186/s12864-025-12092-w
Abstract: After long-term artificial selection and lineage mixing, the Danish Landrace pig (DLR), has developed characteristics such as a long body length, high lean meat rate, rapid growth rate, high litter size, and a longer gestation… read more here.
Keywords: dlr pigs; lean meat; body length; dlr ... See more keywords
Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion
Sign Up to like & getrecommendations! Published in 2024 at "Insights into Imaging"
DOI: 10.1186/s13244-024-01686-9
Abstract: To investigate whether reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) with deep learning reconstruction (DLR) can improve the accuracy of evaluating muscle invasion using VI-RADS. Eighty-six bladder cancer participants who were evaluated by conventional full field-of-view… read more here.
Keywords: dwi; rfov dwi; field view; dlr ... See more keywords
Association between the presence of distolingual root in mandibular first molars and the presence of C-shaped mandibular second molars: a CBCT study in a Taiwanese population.
Sign Up to like & getrecommendations! Published in 2020 at "Quintessence international"
DOI: 10.3290/j.qi.a45266
Abstract: OBJECTIVES The purpose of this study was to assess the prevalence of C-shaped canals in permanent mandibular second molars (SMs) and to determine whether its appearance was associated with the presence of distolingual root (DLR)… read more here.
Keywords: dlr; presence; root; anatomy ... See more keywords
Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT
Sign Up to like & getrecommendations! Published in 2022 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2021.0466
Abstract: Objective To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms. Materials and Methods Post-contrast abdominopelvic CT scans obtained from 120… read more here.
Keywords: dlr; pediatric abdominopelvic; algorithm; reconstruction ... See more keywords