264 related articles for article (PubMed ID: 29036879)
1. Enhancement of digital radiography image quality using a convolutional neural network.
Sun Y; Li L; Cong P; Wang Z; Guo X
J Xray Sci Technol; 2017; 25(6):857-868. PubMed ID: 29036879
[TBL] [Abstract][Full Text] [Related]
2. Digital radiography image denoising using a generative adversarial network.
Sun Y; Liu X; Cong P; Li L; Zhao Z
J Xray Sci Technol; 2018; 26(4):523-534. PubMed ID: 29889095
[TBL] [Abstract][Full Text] [Related]
3. Effects of radiographic techniques on the low-contrast detail detectability performance of digital radiography systems.
Alsleem H; U P; Mong KS; Davidson R
Radiol Technol; 2014; 85(6):614-22. PubMed ID: 25002641
[TBL] [Abstract][Full Text] [Related]
4. Quantification of the effect of system and object parameters on edge enhancement in phase-contrast radiography.
Donnelly EF; Price RR; Pickens DR
Med Phys; 2003 Nov; 30(11):2888-96. PubMed ID: 14655935
[TBL] [Abstract][Full Text] [Related]
5. Imaging properties of digital magnification radiography.
Boyce SJ; Samei E
Med Phys; 2006 Apr; 33(4):984-96. PubMed ID: 16696475
[TBL] [Abstract][Full Text] [Related]
6. A framework for optimising the radiographic technique in digital X-ray imaging.
Samei E; Dobbins JT; Lo JY; Tornai MP
Radiat Prot Dosimetry; 2005; 114(1-3):220-9. PubMed ID: 15933112
[TBL] [Abstract][Full Text] [Related]
7. A method for modifying the image quality parameters of digital radiographic images.
Saunders RS; Samei E
Med Phys; 2003 Nov; 30(11):3006-17. PubMed ID: 14655948
[TBL] [Abstract][Full Text] [Related]
8. Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks.
Chi J; Zhang Y; Yu X; Wang Y; Wu C
Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31366173
[TBL] [Abstract][Full Text] [Related]
9. A hybrid convolutional neural network for super-resolution reconstruction of MR images.
Zheng Y; Zhen B; Chen A; Qi F; Hao X; Qiu B
Med Phys; 2020 Jul; 47(7):3013-3022. PubMed ID: 32201956
[TBL] [Abstract][Full Text] [Related]
10. Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.
Li W; Cao P; Zhao D; Wang J
Comput Math Methods Med; 2016; 2016():6215085. PubMed ID: 28070212
[TBL] [Abstract][Full Text] [Related]
11. A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.
Zhao T; McNitt-Gray M; Ruan D
Med Phys; 2019 Sep; 46(9):3941-3950. PubMed ID: 31220358
[TBL] [Abstract][Full Text] [Related]
12. Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.
Umehara K; Ota J; Ishida T
J Digit Imaging; 2018 Aug; 31(4):441-450. PubMed ID: 29047035
[TBL] [Abstract][Full Text] [Related]
13. Deep architecture neural network-based real-time image processing for image-guided radiotherapy.
Mori S
Phys Med; 2017 Aug; 40():79-87. PubMed ID: 28743618
[TBL] [Abstract][Full Text] [Related]
14. Study on construction of a medical x-ray direct digital radiography system and hybrid preprocessing methods.
Ren Y; Wu S; Wang M; Cen Z
Comput Math Methods Med; 2014; 2014():495729. PubMed ID: 25013452
[TBL] [Abstract][Full Text] [Related]
15. Nodule detection in digital chest radiography: effect of system noise.
Håkansson M; Båth M; Börjesson S; Kheddache S; Johnsson AA; Månsson LG
Radiat Prot Dosimetry; 2005; 114(1-3):97-101. PubMed ID: 15933088
[TBL] [Abstract][Full Text] [Related]
16. Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.
Pachoud M; Lepori D; Valley JF; Verdun FR
Radiat Prot Dosimetry; 2005; 114(1-3):380-2. PubMed ID: 15933141
[TBL] [Abstract][Full Text] [Related]
17. Region-based wavelet coding methods for digital mammography.
Penedo M; Pearlman WA; Tahoces PG; Souto M; Vidal JJ
IEEE Trans Med Imaging; 2003 Oct; 22(10):1288-96. PubMed ID: 14552582
[TBL] [Abstract][Full Text] [Related]
18. A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.
Kang E; Min J; Ye JC
Med Phys; 2017 Oct; 44(10):e360-e375. PubMed ID: 29027238
[TBL] [Abstract][Full Text] [Related]
19. Comparison of clinical and physical measures of image quality in chest and pelvis computed radiography at different tube voltages.
Sandborg M; Tingberg A; Ullman G; Dance DR; Alm Carlsson G
Med Phys; 2006 Nov; 33(11):4169-75. PubMed ID: 17153395
[TBL] [Abstract][Full Text] [Related]
20. Does a combination of dose modulation with fast gantry rotation time limit CT image quality?
Israel GM; Herlihy S; Rubinowitz AN; Cornfeld D; Brink J
AJR Am J Roentgenol; 2008 Jul; 191(1):140-4. PubMed ID: 18562737
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]