116 related articles for article (PubMed ID: 38468391)
1. Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools.
Rossi M; Belotti G; Mainardi L; Baroni G; Cerveri P
Comput Assist Surg (Abingdon); 2024 Dec; 29(1):2327981. PubMed ID: 38468391
[TBL] [Abstract][Full Text] [Related]
2. Streaking artifact reduction for CBCT-based synthetic CT generation in adaptive radiotherapy.
Gao L; Xie K; Sun J; Lin T; Sui J; Yang G; Ni X
Med Phys; 2023 Feb; 50(2):879-893. PubMed ID: 36183234
[TBL] [Abstract][Full Text] [Related]
3. Feasibility of CycleGAN enhanced low dose CBCT imaging for prostate radiotherapy dose calculation.
Chan Y; Li M; Parodi K; Belka C; Landry G; Kurz C
Phys Med Biol; 2023 May; 68(10):. PubMed ID: 37054740
[TBL] [Abstract][Full Text] [Related]
4. Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy.
Liang X; Chen L; Nguyen D; Zhou Z; Gu X; Yang M; Wang J; Jiang S
Phys Med Biol; 2019 Jun; 64(12):125002. PubMed ID: 31108465
[TBL] [Abstract][Full Text] [Related]
5. CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation.
Kurz C; Maspero M; Savenije MHF; Landry G; Kamp F; Pinto M; Li M; Parodi K; Belka C; van den Berg CAT
Phys Med Biol; 2019 Nov; 64(22):225004. PubMed ID: 31610527
[TBL] [Abstract][Full Text] [Related]
6. Image-based shading correction for narrow-FOV truncated pelvic CBCT with deep convolutional neural networks and transfer learning.
Rossi M; Belotti G; Paganelli C; Pella A; Barcellini A; Cerveri P; Baroni G
Med Phys; 2021 Nov; 48(11):7112-7126. PubMed ID: 34636429
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.
Barateau A; De Crevoisier R; Largent A; Mylona E; Perichon N; Castelli J; Chajon E; Acosta O; Simon A; Nunes JC; Lafond C
Med Phys; 2020 Oct; 47(10):4683-4693. PubMed ID: 32654160
[TBL] [Abstract][Full Text] [Related]
9. Empirical scatter correction: CBCT scatter artifact reduction without prior information.
Trapp P; Maier J; Susenburger M; Sawall S; Kachelrieß M
Med Phys; 2022 Jul; 49(7):4566-4584. PubMed ID: 35390181
[TBL] [Abstract][Full Text] [Related]
10. Measurement-based range evaluation for quality assurance of CBCT-based dose calculations in adaptive proton therapy.
Neppl S; Kurz C; Köpl D; Yohannes I; Schneider M; Bondesson D; Rabe M; Belka C; Dietrich O; Landry G; Parodi K; Kamp F
Med Phys; 2021 Aug; 48(8):4148-4159. PubMed ID: 34032301
[TBL] [Abstract][Full Text] [Related]
11. CBCT-based synthetic CT generated using CycleGAN with HU correction for adaptive radiotherapy of nasopharyngeal carcinoma.
Jihong C; Kerun Q; Kaiqiang C; Xiuchun Z; Yimin Z; Penggang B
Sci Rep; 2023 Apr; 13(1):6624. PubMed ID: 37095147
[TBL] [Abstract][Full Text] [Related]
12. Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients.
Zhang Y; Ding SG; Gong XC; Yuan XX; Lin JF; Chen Q; Li JG
Technol Cancer Res Treat; 2022; 21():15330338221085358. PubMed ID: 35262422
[No Abstract] [Full Text] [Related]
13. Feasibility of bone marrow edema detection using dual-energy cone-beam computed tomography.
Liu SZ; Herbst M; Schaefer J; Weber T; Vogt S; Ritschl L; Kappler S; Kawcak CE; Stewart HL; Siewerdsen JH; Zbijewski W
Med Phys; 2024 Mar; 51(3):1653-1673. PubMed ID: 38323878
[TBL] [Abstract][Full Text] [Related]
14. A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies.
Liu Y; Chen X; Zhu J; Yang B; Wei R; Xiong R; Quan H; Liu Y; Dai J; Men K
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354124
[No Abstract] [Full Text] [Related]
15. Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.
Lalonde A; Winey B; Verburg J; Paganetti H; Sharp GC
Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 32580174
[TBL] [Abstract][Full Text] [Related]
16. Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation.
Landry G; Nijhuis R; Dedes G; Handrack J; Thieke C; Janssens G; Orban de Xivry J; Reiner M; Kamp F; Wilkens JJ; Paganelli C; Riboldi M; Baroni G; Ganswindt U; Belka C; Parodi K
Med Phys; 2015 Mar; 42(3):1354-66. PubMed ID: 25735290
[TBL] [Abstract][Full Text] [Related]
17. Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy.
Wang H; Liu X; Kong L; Huang Y; Chen H; Ma X; Duan Y; Shao Y; Feng A; Shen Z; Gu H; Kong Q; Xu Z; Zhou Y
Strahlenther Onkol; 2023 May; 199(5):485-497. PubMed ID: 36688953
[TBL] [Abstract][Full Text] [Related]
18. CBCT-Based synthetic CT image generation using conditional denoising diffusion probabilistic model.
Peng J; Qiu RLJ; Wynne JF; Chang CW; Pan S; Wang T; Roper J; Liu T; Patel PR; Yu DS; Yang X
Med Phys; 2024 Mar; 51(3):1847-1859. PubMed ID: 37646491
[TBL] [Abstract][Full Text] [Related]
19. Cone-beam CT-derived relative stopping power map generation via deep learning for proton radiotherapy.
Harms J; Lei Y; Wang T; McDonald M; Ghavidel B; Stokes W; Curran WJ; Zhou J; Liu T; Yang X
Med Phys; 2020 Sep; 47(9):4416-4427. PubMed ID: 32579710
[TBL] [Abstract][Full Text] [Related]
20. Validation of a deformable image registration technique for cone beam CT-based dose verification.
Moteabbed M; Sharp GC; Wang Y; Trofimov A; Efstathiou JA; Lu HM
Med Phys; 2015 Jan; 42(1):196-205. PubMed ID: 25563260
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
