269 related articles for article (PubMed ID: 36559994)
1. 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]
2. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
[TBL] [Abstract][Full Text] [Related]
3. Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images.
Cao P; Derhaag J; Coonen E; Brunner H; Acharya G; Salumets A; Zamani Esteki M
Hum Reprod; 2024 Jun; 39(6):1197-1207. PubMed ID: 38600621
[TBL] [Abstract][Full Text] [Related]
4. A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation.
Xue Y; Zhang Y; Neri F
Int J Neural Syst; 2023 May; 33(5):2350026. PubMed ID: 37016799
[TBL] [Abstract][Full Text] [Related]
5. Synthesis of pseudo-CT images from pelvic MRI images based on an MD-CycleGAN model for radiotherapy.
Sun H; Xi Q; Fan R; Sun J; Xie K; Ni X; Yang J
Phys Med Biol; 2022 Jan; 67(3):. PubMed ID: 34879356
[No Abstract] [Full Text] [Related]
6. 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]
7. Improvement of megavoltage computed tomography image quality for adaptive helical tomotherapy using cycleGAN-based image synthesis with small datasets.
Lee D; Jeong SW; Kim SJ; Cho H; Park W; Han Y
Med Phys; 2021 Oct; 48(10):5593-5610. PubMed ID: 34418109
[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. Transformer CycleGAN with uncertainty estimation for CBCT based synthetic CT in adaptive radiotherapy.
Rusanov B; Hassan GM; Reynolds M; Sabet M; Rowshanfarzad P; Bucknell N; Gill S; Dass J; Ebert M
Phys Med Biol; 2024 Jan; 69(3):. PubMed ID: 38198726
[No Abstract] [Full Text] [Related]
10. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
11. Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout.
Lee KW; Chin RKY
Bioengineering (Basel); 2022 Nov; 9(11):. PubMed ID: 36421099
[TBL] [Abstract][Full Text] [Related]
12. dm-GAN: Distributed multi-latent code inversion enhanced GAN for fast and accurate breast X-ray image automatic generation.
Jiao J; Xiao X; Li Z
Math Biosci Eng; 2023 Oct; 20(11):19485-19503. PubMed ID: 38052611
[TBL] [Abstract][Full Text] [Related]
13. Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning.
Peng Y; Chen S; Qin A; Chen M; Gao X; Liu Y; Miao J; Gu H; Zhao C; Deng X; Qi Z
Radiother Oncol; 2020 Sep; 150():217-224. PubMed ID: 32622781
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. CycleGAN with Dynamic Criterion for Malaria Blood Cell Image Synthetization.
Liang Z; Huang JX
AMIA Jt Summits Transl Sci Proc; 2022; 2022():323-330. PubMed ID: 35854731
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Cone-beam CT image quality improvement using Cycle-Deblur consistent adversarial networks (Cycle-Deblur GAN) for chest CT imaging in breast cancer patients.
Tien HJ; Yang HC; Shueng PW; Chen JC
Sci Rep; 2021 Jan; 11(1):1133. PubMed ID: 33441936
[TBL] [Abstract][Full Text] [Related]
19. Double U-Net CycleGAN for 3D MR to CT image synthesis.
Sun B; Jia S; Jiang X; Jia F
Int J Comput Assist Radiol Surg; 2023 Jan; 18(1):149-156. PubMed ID: 35984606
[TBL] [Abstract][Full Text] [Related]
20. Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis.
Yan C; Lin J; Li H; Xu J; Zhang T; Chen H; Woodruff HC; Wu G; Zhang S; Xu Y; Lambin P
Korean J Radiol; 2021 Jun; 22(6):983-993. PubMed ID: 33739634
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
