174 related articles for article (PubMed ID: 37386097)
1. Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Kalantar R; Hindocha S; Hunter B; Sharma B; Khan N; Koh DM; Ahmed M; Aboagye EO; Lee RW; Blackledge MD
Sci Rep; 2023 Jun; 13(1):10568. PubMed ID: 37386097
[TBL] [Abstract][Full Text] [Related]
2. Improving reproducibility and performance of radiomics in low-dose CT using cycle GANs.
Chen J; Wee L; Dekker A; Bermejo I
J Appl Clin Med Phys; 2022 Oct; 23(10):e13739. PubMed ID: 35906893
[TBL] [Abstract][Full Text] [Related]
3. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
Ali H; Shah Z
JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
[TBL] [Abstract][Full Text] [Related]
4. GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
Zhu Q; Ye H; Sun L; Li Z; Wang R; Shi F; Shen D; Zhang D
BMC Med Imaging; 2021 Oct; 21(1):154. PubMed ID: 34674660
[TBL] [Abstract][Full Text] [Related]
5. CT-Based Pelvic T
Kalantar R; Messiou C; Winfield JM; Renn A; Latifoltojar A; Downey K; Sohaib A; Lalondrelle S; Koh DM; Blackledge MD
Front Oncol; 2021; 11():665807. PubMed ID: 34395244
[TBL] [Abstract][Full Text] [Related]
6. Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.
Liang Z; Huang JX; Antani S
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559994
[TBL] [Abstract][Full Text] [Related]
7. SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease.
Veturi YA; Woof W; Lazebnik T; Moghul I; Woodward-Court P; Wagner SK; Cabral de Guimarães TA; Daich Varela M; Liefers B; Patel PJ; Beck S; Webster AR; Mahroo O; Keane PA; Michaelides M; Balaskas K; Pontikos N
Ophthalmol Sci; 2023 Jun; 3(2):100258. PubMed ID: 36685715
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders.
Zheng C; Xie X; Zhou K; Chen B; Chen J; Ye H; Li W; Qiao T; Gao S; Yang J; Liu J
Transl Vis Sci Technol; 2020 May; 9(2):29. PubMed ID: 32832202
[TBL] [Abstract][Full Text] [Related]
10. Generative models improve radiomics performance in different tasks and different datasets: An experimental study.
Chen J; Bermejo I; Dekker A; Wee L
Phys Med; 2022 Jun; 98():11-17. PubMed ID: 35468494
[TBL] [Abstract][Full Text] [Related]
11. CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images.
Menon S; Mangalagiri J; Galita J; Morris M; Saboury B; Yesha Y; Yesha Y; Nguyen P; Gangopadhyay A; Chapman D
J Digit Imaging; 2023 Aug; 36(4):1376-1389. PubMed ID: 37069451
[TBL] [Abstract][Full Text] [Related]
12. Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration.
Wang Z; Lim G; Ng WY; Tan TE; Lim J; Lim SH; Foo V; Lim J; Sinisterra LG; Zheng F; Liu N; Tan GSW; Cheng CY; Cheung GCM; Wong TY; Ting DSW
Front Med (Lausanne); 2023; 10():1184892. PubMed ID: 37425325
[TBL] [Abstract][Full Text] [Related]
13. Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image.
Kim G; Baek J
Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37722388
[No Abstract] [Full Text] [Related]
14. Deep learning for whole-body medical image generation.
Schaefferkoetter J; Yan J; Moon S; Chan R; Ortega C; Metser U; Berlin A; Veit-Haibach P
Eur J Nucl Med Mol Imaging; 2021 Nov; 48(12):3817-3826. PubMed ID: 34021779
[TBL] [Abstract][Full Text] [Related]
15. MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks.
Lei Y; Harms J; Wang T; Liu Y; Shu HK; Jani AB; Curran WJ; Mao H; Liu T; Yang X
Med Phys; 2019 Aug; 46(8):3565-3581. PubMed ID: 31112304
[TBL] [Abstract][Full Text] [Related]
16. Combining physics-based models with deep learning image synthesis and uncertainty in intraoperative cone-beam CT of the brain.
Zhang X; Sisniega A; Zbijewski WB; Lee J; Jones CK; Wu P; Han R; Uneri A; Vagdargi P; Helm PA; Luciano M; Anderson WS; Siewerdsen JH
Med Phys; 2023 May; 50(5):2607-2624. PubMed ID: 36906915
[TBL] [Abstract][Full Text] [Related]
17. Generative Adversarial Networks: A Primer for Radiologists.
Wolterink JM; Mukhopadhyay A; Leiner T; Vogl TJ; Bucher AM; Išgum I
Radiographics; 2021; 41(3):840-857. PubMed ID: 33891522
[TBL] [Abstract][Full Text] [Related]
18. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks.
Chen JS; Coyner AS; Chan RVP; Hartnett ME; Moshfeghi DM; Owen LA; Kalpathy-Cramer J; Chiang MF; Campbell JP
Ophthalmol Sci; 2021 Dec; 1(4):100079. PubMed ID: 36246951
[TBL] [Abstract][Full Text] [Related]
19. Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation.
Gulakala R; Markert B; Stoffel M
Comput Methods Programs Biomed; 2023 Feb; 229():107262. PubMed ID: 36463675
[TBL] [Abstract][Full Text] [Related]
20. Generative adversarial network based data augmentation for CNN based detection of Covid-19.
Gulakala R; Markert B; Stoffel M
Sci Rep; 2022 Nov; 12(1):19186. PubMed ID: 36357530
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]