186 related articles for article (PubMed ID: 35014900)
1. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.
Jensen CT; Gupta S; Saleh MM; Liu X; Wong VK; Salem U; Qiao W; Samei E; Wagner-Bartak NA
Radiology; 2022 Apr; 303(1):90-98. PubMed ID: 35014900
[TBL] [Abstract][Full Text] [Related]
2. Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.
Li S; Yuan L; Lu T; Yang X; Ren W; Wang L; Zhao J; Deng J; Liu X; Xue C; Sun Q; Zhang W; Zhou J
Eur J Radiol; 2023 Nov; 168():111128. PubMed ID: 37816301
[TBL] [Abstract][Full Text] [Related]
3. Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
Lyu P; Liu N; Harrawood B; Solomon J; Wang H; Chen Y; Rigiroli F; Ding Y; Schwartz FR; Jiang H; Lowry C; Wang L; Samei E; Gao J; Marin D
Eur Radiol; 2023 Mar; 33(3):1629-1640. PubMed ID: 36323984
[TBL] [Abstract][Full Text] [Related]
4. Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy.
Lyu P; Li Z; Chen Y; Wang H; Liu N; Liu J; Zhan P; Liu X; Shang B; Wang L; Gao J
Eur Radiol; 2024 Jan; 34(1):28-38. PubMed ID: 37532899
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.
Jiang B; Li N; Shi X; Zhang S; Li J; de Bock GH; Vliegenthart R; Xie X
Radiology; 2022 Apr; 303(1):202-212. PubMed ID: 35040674
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction.
Jensen CT; Wong VK; Wagner-Bartak NA; Liu X; Padmanabhan Nair Sobha R; Sun J; Likhari GS; Gupta S
Eur J Radiol; 2023 Nov; 168():111121. PubMed ID: 37806195
[TBL] [Abstract][Full Text] [Related]
7. Low-dose liver CT: image quality and diagnostic accuracy of deep learning image reconstruction algorithm.
Caruso D; De Santis D; Del Gaudio A; Guido G; Zerunian M; Polici M; Valanzuolo D; Pugliese D; Persechino R; Cremona A; Barbato L; Caloisi A; Iannicelli E; Laghi A
Eur Radiol; 2024 Apr; 34(4):2384-2393. PubMed ID: 37688618
[TBL] [Abstract][Full Text] [Related]
8. Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.
Zhong J; Wang L; Shen H; Li J; Lu W; Shi X; Xing Y; Hu Y; Ge X; Ding D; Yan F; Du L; Yao W; Zhang H
Eur Radiol; 2023 Aug; 33(8):5331-5343. PubMed ID: 36976337
[TBL] [Abstract][Full Text] [Related]
9. Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
Noda Y; Kaga T; Kawai N; Miyoshi T; Kawada H; Hyodo F; Kambadakone A; Matsuo M
Br J Radiol; 2021 May; 94(1121):20201329. PubMed ID: 33571010
[TBL] [Abstract][Full Text] [Related]
10. A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions.
Cao L; Liu X; Li J; Qu T; Chen L; Cheng Y; Hu J; Sun J; Guo J
Br J Radiol; 2021 Feb; 94(1118):20201086. PubMed ID: 33242256
[TBL] [Abstract][Full Text] [Related]
11. Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study.
Park HJ; Choi SY; Lee JE; Lim S; Lee MH; Yi BH; Cha JG; Min JH; Lee B; Jung Y
Eur Radiol; 2022 Jun; 32(6):3974-3984. PubMed ID: 35064803
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.
Delabie A; Bouzerar R; Pichois R; Desdoit X; Vial J; Renard C
Acta Radiol; 2022 Sep; 63(9):1283-1292. PubMed ID: 34365803
[TBL] [Abstract][Full Text] [Related]
13. Detectability of Small Low-Attenuation Lesions With Deep Learning CT Image Reconstruction: A 24-Reader Phantom Study.
Toia GV; Zamora DA; Singleton M; Liu A; Tan E; Leng S; Shuman WP; Kanal KM; Mileto A
AJR Am J Roentgenol; 2023 Feb; 220(2):283-295. PubMed ID: 36129222
[No Abstract] [Full Text] [Related]
14. Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study.
Racine D; Becce F; Viry A; Monnin P; Thomsen B; Verdun FR; Rotzinger DC
Phys Med; 2020 Aug; 76():28-37. PubMed ID: 32574999
[TBL] [Abstract][Full Text] [Related]
15. Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.
Wang H; Yue S; Liu N; Chen Y; Zhan P; Liu X; Shang B; Wang L; Li Z; Gao J; Lyu P
Eur Radiol; 2024 Mar; 34(3):1614-1623. PubMed ID: 37650972
[TBL] [Abstract][Full Text] [Related]
16. Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.
Greffier J; Hamard A; Pereira F; Barrau C; Pasquier H; Beregi JP; Frandon J
Eur Radiol; 2020 Jul; 30(7):3951-3959. PubMed ID: 32100091
[TBL] [Abstract][Full Text] [Related]
17. Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction.
Ferri F; Bouzerar R; Auquier M; Vial J; Renard C
Eur J Radiol; 2022 Jul; 152():110338. PubMed ID: 35533559
[TBL] [Abstract][Full Text] [Related]
18. Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm.
Solomon J; Marin D; Roy Choudhury K; Patel B; Samei E
Radiology; 2017 Sep; 284(3):777-787. PubMed ID: 28170300
[TBL] [Abstract][Full Text] [Related]
19. Improving spatial resolution and diagnostic confidence with thinner slice and deep learning image reconstruction in contrast-enhanced abdominal CT.
Cao L; Liu X; Qu T; Cheng Y; Li J; Li Y; Chen L; Niu X; Tian Q; Guo J
Eur Radiol; 2023 Mar; 33(3):1603-1611. PubMed ID: 36190531
[TBL] [Abstract][Full Text] [Related]
20. An Evaluation Analysis for Computed Tomography Image Quality of Primary Liver Cancer Lesions Based on Deep Learning Image Reconstruction.
Sun Y; Sun DZ; Han CL
Curr Med Imaging; 2024; 20():1-6. PubMed ID: 38389358
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]