119 related articles for article (PubMed ID: 34940729)
1. Optical to Planar X-ray Mouse Image Mapping in Preclinical Nuclear Medicine Using Conditional Adversarial Networks.
Fysikopoulos E; Rouchota M; Eleftheriadis V; Gatsiou CA; Pilatis I; Sarpaki S; Loudos G; Kostopoulos S; Glotsos D
J Imaging; 2021 Dec; 7(12):. PubMed ID: 34940729
[TBL] [Abstract][Full Text] [Related]
2. Pix2pix Conditional Generative Adversarial Networks for Scheimpflug Camera Color-Coded Corneal Tomography Image Generation.
Abdelmotaal H; Abdou AA; Omar AF; El-Sebaity DM; Abdelazeem K
Transl Vis Sci Technol; 2021 Jun; 10(7):21. PubMed ID: 34132759
[TBL] [Abstract][Full Text] [Related]
3. Generation of Conventional
Choi HJ; Seo M; Kim A; Park SH
Medicina (Kaunas); 2023 Jul; 59(7):. PubMed ID: 37512092
[No Abstract] [Full Text] [Related]
4. pix2xray: converting RGB images into X-rays using generative adversarial networks.
Haiderbhai M; Ledesma S; Lee SC; Seibold M; Fürnstahl P; Navab N; Fallavollita P
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):973-980. PubMed ID: 32342258
[TBL] [Abstract][Full Text] [Related]
5. Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks.
Haiderbhai M; Ledesma S; Navab N; Fallavollita P
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1588-1591. PubMed ID: 33018297
[TBL] [Abstract][Full Text] [Related]
6. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
Johnson PM; Drangova M
Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
[TBL] [Abstract][Full Text] [Related]
7. Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data.
Jafaritadi M; Teuho J; Lehtonen E; Klén R; Saraste A; Levin CS
Ann Nucl Med; 2024 Jun; ():. PubMed ID: 38842629
[TBL] [Abstract][Full Text] [Related]
8. Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion Imaging.
Torkaman M; Yang J; Shi L; Wang R; Miller EJ; Sinusas AJ; Liu C; Gullberg GT; Seo Y
Proc SPIE Int Soc Opt Eng; 2021 Feb; 11600():. PubMed ID: 33727759
[TBL] [Abstract][Full Text] [Related]
9. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
Shi Z; Li H; Cao Q; Wang Z; Cheng M
Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
[TBL] [Abstract][Full Text] [Related]
10. Virtual organelle self-coding for fluorescence imaging via adversarial learning.
Nguyen T; Bui V; Thai A; Lam V; Raub C; Chang LC; Nehmetallah G
J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32996300
[TBL] [Abstract][Full Text] [Related]
11. An adversarial machine learning framework and biomechanical model-guided approach for computing 3D lung tissue elasticity from end-expiration 3DCT.
Santhanam AP; Stiehl B; Lauria M; Hasse K; Barjaktarevic I; Goldin J; Low DA
Med Phys; 2021 Feb; 48(2):667-675. PubMed ID: 32449519
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis.
Gomi T; Kijima Y; Kobayashi T; Koibuchi Y
Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204582
[TBL] [Abstract][Full Text] [Related]
13. Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.
Haubold J; Hosch R; Umutlu L; Wetter A; Haubold P; Radbruch A; Forsting M; Nensa F; Koitka S
Eur Radiol; 2021 Aug; 31(8):6087-6095. PubMed ID: 33630160
[TBL] [Abstract][Full Text] [Related]
14. Automatic Contrast Generation from Contrastless Computed Tomography.
Domingues R; Nunes F; Mancio J; Fontes-Carvalho R; Coimbra M; Pedrosa J; Renna F
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083590
[TBL] [Abstract][Full Text] [Related]
15. Conditional generative adversarial networks to generate pseudo low monoenergetic CT image from a single-tube voltage CT scanner.
Funama Y; Oda S; Kidoh M; Nagayama Y; Goto M; Sakabe D; Nakaura T
Phys Med; 2021 Mar; 83():46-51. PubMed ID: 33706150
[TBL] [Abstract][Full Text] [Related]
16. Improving CBCT quality to CT level using deep learning with generative adversarial network.
Zhang Y; Yue N; Su MY; Liu B; Ding Y; Zhou Y; Wang H; Kuang Y; Nie K
Med Phys; 2021 Jun; 48(6):2816-2826. PubMed ID: 33259647
[TBL] [Abstract][Full Text] [Related]
17. Quality improvement of adaptive optics retinal images using conditional adversarial networks.
Li W; Liu G; He Y; Wang J; Kong W; Shi G
Biomed Opt Express; 2020 Feb; 11(2):831-849. PubMed ID: 32133226
[TBL] [Abstract][Full Text] [Related]
18. Exploration of Semantic Label Decomposition and Dataset Size in Semantic Indoor Scenes Synthesis via Optimized Residual Generative Adversarial Networks.
Ibrahem H; Salem A; Kang HS
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366007
[TBL] [Abstract][Full Text] [Related]
19. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
Wang Y; Yu B; Wang L; Zu C; Lalush DS; Lin W; Wu X; Zhou J; Shen D; Zhou L
Neuroimage; 2018 Jul; 174():550-562. PubMed ID: 29571715
[TBL] [Abstract][Full Text] [Related]
20. Reconstruction of multicontrast MR images through deep learning.
Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
