101 related articles for article (PubMed ID: 35731096)
1. Diagnostic Performance in Low- and High-Contrast Tasks of an Image-Based Denoising Algorithm Applied to Radiation Dose-Reduced Multiphase Abdominal CT Examinations.
Inoue A; Voss BA; Lee NJ; Takahashi H; Kozaka K; Heiken JP; Ehman EC; Vasconcelos R; Fidler JL; Lee YS; Mileto A; Johnson MP; Baer-Beck M; Weber NM; Michalak GJ; Halaweish A; Carter RE; McCollough CH; Fletcher JG
AJR Am J Roentgenol; 2023 Jan; 220(1):73-85. PubMed ID: 35731096
[No Abstract] [Full Text] [Related]
2. Improving the detection of hypo-vascular liver metastases in multiphase contrast-enhanced CT with slice thickness less than 5 mm using DenseNet.
Yang CC; Lin KW
Radiography (Lond); 2024 May; 30(3):759-769. PubMed ID: 38458104
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients.
Schwartz FR; Clark DP; Rigiroli F; Kalisz K; Wildman-Tobriner B; Thomas S; Wilson J; Badea CT; Marin D
Eur Radiol; 2023 Oct; 33(10):7056-7065. PubMed ID: 37083742
[TBL] [Abstract][Full Text] [Related]
4. Dose-efficiency quantification of computed tomography systems using a model-observer.
Göppel M; Anton M; Gala HLH; Giussani A; Trinkl S; Renger B; Brix G
Med Phys; 2023 Dec; 50(12):7594-7605. PubMed ID: 37183490
[TBL] [Abstract][Full Text] [Related]
5. Reducing the risk of hallucinations with interpretable deep learning models for low-dose CT denoising: comparative performance analysis.
Patwari M; Gutjahr R; Marcus R; Thali Y; Calvarons AF; Raupach R; Maier A
Phys Med Biol; 2023 Oct; 68(19):. PubMed ID: 37733068
[No Abstract] [Full Text] [Related]
6. Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.
Gong H; Fletcher JG; Heiken JP; Wells ML; Leng S; McCollough CH; Yu L
Med Phys; 2022 Jan; 49(1):70-83. PubMed ID: 34792800
[TBL] [Abstract][Full Text] [Related]
7. Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data.
Sandfort V; Willemink MJ; Codari M; Mastrodicasa D; Fleischmann D
Radiol Artif Intell; 2024 Mar; 6(2):e230153. PubMed ID: 38416035
[TBL] [Abstract][Full Text] [Related]
8. Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss.
Yang Q; Yan P; Zhang Y; Yu H; Shi Y; Mou X; Kalra MK; Zhang Y; Sun L; Wang G
IEEE Trans Med Imaging; 2018 Jun; 37(6):1348-1357. PubMed ID: 29870364
[TBL] [Abstract][Full Text] [Related]
9. Subjective and objective image quality of low-dose CT images processed using a self-supervised denoising algorithm.
Kimura Y; Suyama TQ; Shimamura Y; Suzuki J; Watanabe M; Igei H; Otera Y; Kaneko T; Suzukawa M; Matsui H; Kudo H
Radiol Phys Technol; 2024 Feb; ():. PubMed ID: 38413510
[TBL] [Abstract][Full Text] [Related]
10. Image Quality and Diagnostic Performance of Low-Dose Liver CT with Deep Learning Reconstruction versus Standard-Dose CT.
Lee DH; Lee JM; Lee CH; Afat S; Othman A
Radiol Artif Intell; 2024 Mar; 6(2):e230192. PubMed ID: 38231025
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic Performance of Whole-Body Ultra-Low-Dose CT for Detection of Mechanical Ventriculoperitoneal Shunt Complications: A Retrospective Analysis.
Afat S; Pjontek R; Nikoubashman O; Kunz WG; Brockmann MA; Ridwan H; Wiesmann M; Clusmann H; Othman AE; Hamou HA
AJNR Am J Neuroradiol; 2022 Nov; 43(11):1597-1602. PubMed ID: 36229165
[TBL] [Abstract][Full Text] [Related]
12. Renal protection CT protocol using low-dose and low-concentration iodine contrast medium in at-risk patients of HCC and with chronic kidney disease: a randomized controlled non-inferiority trial.
Yoon JH; Park JY; Lee SM; Lee ES; Kim JH; Lee JM
Cancer Imaging; 2023 Oct; 23(1):100. PubMed ID: 37858212
[TBL] [Abstract][Full Text] [Related]
13. Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model.
Mück J; Reiter E; Klingert W; Bertolani E; Schenk M; Nikolaou K; Afat S; Brendlin AS
Eur J Radiol; 2024 Feb; 171():111267. PubMed ID: 38169217
[TBL] [Abstract][Full Text] [Related]
14. Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching.
Ko Y; Song S; Baek J; Shim H
Med Phys; 2024 Mar; ():. PubMed ID: 38478305
[TBL] [Abstract][Full Text] [Related]
15. Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.
McCollough CH; Chen GH; Kalender W; Leng S; Samei E; Taguchi K; Wang G; Yu L; Pettigrew RI
Radiology; 2012 Aug; 264(2):567-80. PubMed ID: 22692035
[TBL] [Abstract][Full Text] [Related]
16. Application of an advanced noise reduction algorithm for imaging of hands in rheumatic diseases: evaluation of image quality compared to standard-dose images.
Ziegeler K; Siepmann S; Hermann S; Beck A; Lembcke A; Hamm B; Hermann KGA
Rheumatol Int; 2020 Jun; 40(6):893-899. PubMed ID: 32240350
[TBL] [Abstract][Full Text] [Related]
17. Transformer With Double Enhancement for Low-Dose CT Denoising.
Li H; Yang X; Yang S; Wang D; Jeon G
IEEE J Biomed Health Inform; 2023 Oct; 27(10):4660-4671. PubMed ID: 36279348
[TBL] [Abstract][Full Text] [Related]
18. Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings.
Meyer M; Ronald J; Vernuccio F; Nelson RC; Ramirez-Giraldo JC; Solomon J; Patel BN; Samei E; Marin D
Radiology; 2019 Dec; 293(3):583-591. PubMed ID: 31573400
[TBL] [Abstract][Full Text] [Related]
19. Pediatric evaluations for deep learning CT denoising.
Nelson BJ; Kc P; Badal A; Jiang L; Masters SC; Zeng R
Med Phys; 2024 Feb; 51(2):978-990. PubMed ID: 38127330
[TBL] [Abstract][Full Text] [Related]
20. Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.
You Y; Zhong S; Zhang G; Wen Y; Guo D; Li W; Li Z
J Imaging Inform Med; 2024 Mar; ():. PubMed ID: 38502435
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
