These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
116 related articles for article (PubMed ID: 38696130)
1. Multicenter PET image harmonization using generative adversarial networks. Haberl D; Spielvogel CP; Jiang Z; Orlhac F; Iommi D; Carrió I; Buvat I; Haug AR; Papp L Eur J Nucl Med Mol Imaging; 2024 Jul; 51(9):2532-2546. PubMed ID: 38696130 [TBL] [Abstract][Full Text] [Related]
2. The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods. Hosseini SA; Shiri I; Ghaffarian P; Hajianfar G; Avval AH; Seyfi M; Servaes S; Rosa-Neto P; Zaidi H; Ay MR Ann Nucl Med; 2024 Jul; 38(7):493-507. PubMed ID: 38575814 [TBL] [Abstract][Full Text] [Related]
3. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms. Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217 [TBL] [Abstract][Full Text] [Related]
4. 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 Oct; 38(10):775-788. PubMed ID: 38842629 [TBL] [Abstract][Full Text] [Related]
5. Generation of Ghafari A; Sheikhzadeh P; Seyyedi N; Abbasi M; Farzenefar S; Yousefirizi F; Ay MR; Rahmim A Phys Med Biol; 2022 Oct; 67(21):. PubMed ID: 36162408 [No Abstract] [Full Text] [Related]
6. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data. Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Multicentric development and evaluation of [ Lucia F; Louis T; Cousin F; Bourbonne V; Visvikis D; Mievis C; Jansen N; Duysinx B; Le Pennec R; Nebbache M; Rehn M; Hamya M; Geier M; Salaun PY; Schick U; Hatt M; Coucke P; Hustinx R; Lovinfosse P Eur J Nucl Med Mol Imaging; 2024 Mar; 51(4):1097-1108. PubMed ID: 37987783 [TBL] [Abstract][Full Text] [Related]
9. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images. Tong N; Gou S; Yang S; Cao M; Sheng K Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188 [TBL] [Abstract][Full Text] [Related]
10. Generation of synthetic PET/MR fusion images from MR images using a combination of generative adversarial networks and conditional denoising diffusion probabilistic models based on simultaneous 18F-FDG PET/MR image data of pyogenic spondylodiscitis. Jung E; Kong E; Yu D; Yang H; Chicontwe P; Park SH; Jeon I Spine J; 2024 Aug; 24(8):1467-1477. PubMed ID: 38615932 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Impact of Haider SP; Zeevi T; Sharaf K; Gross M; Mahajan A; Kann BH; Judson BL; Prasad ML; Burtness B; Aboian M; Canis M; Reichel CA; Baumeister P; Payabvash S J Nucl Med; 2024 May; 65(5):803-809. PubMed ID: 38514087 [TBL] [Abstract][Full Text] [Related]
13. Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection. Liu M; Zhu AH; Maiti P; Thomopoulos SI; Gadewar S; Chai Y; Kim H; Jahanshad N; Hum Brain Mapp; 2023 Oct; 44(14):4875-4892. PubMed ID: 37471702 [TBL] [Abstract][Full Text] [Related]
14. Utilizing deep learning techniques to improve image quality and noise reduction in preclinical low-dose PET images in the sinogram domain. Manoj Doss KK; Chen JC Med Phys; 2024 Jan; 51(1):209-223. PubMed ID: 37966121 [TBL] [Abstract][Full Text] [Related]
15. Statistical harmonization can improve the development of a multicenter CT-based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers. Masson I; Da-Ano R; Lucia F; Doré M; Castelli J; Goislard de Monsabert C; Ramée JF; Sellami S; Visvikis D; Hatt M; Schick U Med Phys; 2021 Jul; 48(7):4099-4109. PubMed ID: 34008178 [TBL] [Abstract][Full Text] [Related]
16. Radiomic Profiling of Head and Neck Cancer: Feliciani G; Fioroni F; Grassi E; Bertolini M; Rosca A; Timon G; Galaverni M; Iotti C; Versari A; Iori M; Ciammella P Contrast Media Mol Imaging; 2018; 2018():3574310. PubMed ID: 30363632 [TBL] [Abstract][Full Text] [Related]
17. Deep learning-based harmonization of trabecular bone microstructures between high- and low-resolution CT imaging. Guha I; Nadeem SA; Zhang X; DiCamillo PA; Levy SM; Wang G; Saha PK Med Phys; 2024 Jun; 51(6):4258-4270. PubMed ID: 38415781 [TBL] [Abstract][Full Text] [Related]
18. Value of [ Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039 [TBL] [Abstract][Full Text] [Related]
19. Plausibility and redundancy analysis to select FDG-PET textural features in non-small cell lung cancer. Pfaehler E; Mesotten L; Zhovannik I; Pieplenbosch S; Thomeer M; Vanhove K; Adriaensens P; Boellaard R Med Phys; 2021 Mar; 48(3):1226-1238. PubMed ID: 33368399 [TBL] [Abstract][Full Text] [Related]
20. FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN). Bazangani F; Richard FJP; Ghattas B; Guedj E; Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746422 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]