161 related articles for article (PubMed ID: 34201012)
1. Stability of Radiomic Features across Different Region of Interest Sizes-A CT and MR Phantom Study.
Jensen LJ; Kim D; Elgeti T; Steffen IG; Hamm B; Nagel SN
Tomography; 2021 Jun; 7(2):238-252. PubMed ID: 34201012
[TBL] [Abstract][Full Text] [Related]
2. Stability of Liver Radiomics across Different 3D ROI Sizes-An MRI In Vivo Study.
Jensen LJ; Kim D; Elgeti T; Steffen IG; Hamm B; Nagel SN
Tomography; 2021 Dec; 7(4):866-876. PubMed ID: 34941645
[TBL] [Abstract][Full Text] [Related]
3. Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study.
Jensen LJ; Kim D; Elgeti T; Steffen IG; Schaafs LA; Hamm B; Nagel SN
Eur Radiol Exp; 2022 Sep; 6(1):43. PubMed ID: 36104519
[TBL] [Abstract][Full Text] [Related]
4. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.
Shafiq-Ul-Hassan M; Zhang GG; Latifi K; Ullah G; Hunt DC; Balagurunathan Y; Abdalah MA; Schabath MB; Goldgof DG; Mackin D; Court LE; Gillies RJ; Moros EG
Med Phys; 2017 Mar; 44(3):1050-1062. PubMed ID: 28112418
[TBL] [Abstract][Full Text] [Related]
5. Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging: A Phantom Study.
Baeßler B; Weiss K; Pinto Dos Santos D
Invest Radiol; 2019 Apr; 54(4):221-228. PubMed ID: 30433891
[TBL] [Abstract][Full Text] [Related]
6. Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner.
Bologna M; Tenconi C; Corino VDA; Annunziata G; Orlandi E; Calareso G; Pignoli E; Valdagni R; Mainardi LT; Rancati T
Med Phys; 2023 Feb; 50(2):750-762. PubMed ID: 36310346
[TBL] [Abstract][Full Text] [Related]
7. The role of parametric feature maps to correct different volume of interest sizes: an in vivo liver MRI study.
Jensen LJ; Kim D; Elgeti T; Steffen IG; Schaafs LA; Hamm B; Nagel SN
Eur Radiol Exp; 2023 Sep; 7(1):48. PubMed ID: 37670193
[TBL] [Abstract][Full Text] [Related]
8. A multicenter study on radiomic features from T
Bianchini L; Santinha J; Loução N; Figueiredo M; Botta F; Origgi D; Cremonesi M; Cassano E; Papanikolaou N; Lascialfari A
Magn Reson Med; 2021 Mar; 85(3):1713-1726. PubMed ID: 32970859
[TBL] [Abstract][Full Text] [Related]
9. Impact of rescanning and repositioning on radiomic features employing a multi-object phantom in magnetic resonance imaging.
Bernatz S; Zhdanovich Y; Ackermann J; Koch I; Wild PJ; Dos Santos DP; Vogl TJ; Kaltenbach B; Rosbach N
Sci Rep; 2021 Jul; 11(1):14248. PubMed ID: 34244594
[TBL] [Abstract][Full Text] [Related]
10. Statistical Analysis on Impact of Image Preprocessing of CT Texture Patterns and Its CT Radiomic Feature Stability: A Phantom Study.
Palani D; Ganesh KM; Karunagaran L; Govindaraj K; Shanmugam S
Asian Pac J Cancer Prev; 2023 Jun; 24(6):2061-2072. PubMed ID: 37378937
[TBL] [Abstract][Full Text] [Related]
11. A multi-modality physical phantom for mimicking tumor heterogeneity patterns in PET/CT and PET/MRI.
Valladares A; Beyer T; Papp L; Salomon E; Rausch I
Med Phys; 2022 Sep; 49(9):5819-5829. PubMed ID: 35838056
[TBL] [Abstract][Full Text] [Related]
12. How can we combat multicenter variability in MR radiomics? Validation of a correction procedure.
Orlhac F; Lecler A; Savatovski J; Goya-Outi J; Nioche C; Charbonneau F; Ayache N; Frouin F; Duron L; Buvat I
Eur Radiol; 2021 Apr; 31(4):2272-2280. PubMed ID: 32975661
[TBL] [Abstract][Full Text] [Related]
13. Robustness and reproducibility of radiomics in T2 weighted images from magnetic resonance image guided linear accelerator in a phantom study.
Sun M; Baiyasi A; Liu X; Shi X; Li X; Zhu J; Yin Y; Hu J; Li Z; Li B
Phys Med; 2022 Apr; 96():130-139. PubMed ID: 35287100
[TBL] [Abstract][Full Text] [Related]
14. Impact of Parallel Acquisition Technology on the Robustness of Magnetic Resonance Imaging Radiomic Features.
Hu K; Deng W; Li N; Cai Q; Yuan Z; Li L; Liu Y
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):906-913. PubMed ID: 35675690
[TBL] [Abstract][Full Text] [Related]
15. PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis.
Bianchini L; Botta F; Origgi D; Rizzo S; Mariani M; Summers P; García-Polo P; Cremonesi M; Lascialfari A
Phys Med; 2020 Mar; 71():71-81. PubMed ID: 32092688
[TBL] [Abstract][Full Text] [Related]
16. Comparison of turbo inversion recovery magnitude (TIRM) with T2-weighted turbo spin-echo and T1-weighted spin-echo MR imaging in the early diagnosis of acute osteomyelitis in children.
Hauer MP; Uhl M; Allmann KH; Laubenberger J; Zimmerhackl LB; Langer M
Pediatr Radiol; 1998 Nov; 28(11):846-50. PubMed ID: 9799315
[TBL] [Abstract][Full Text] [Related]
17. Quantitative assessment of acquisition imaging parameters on MRI radiomics features: a prospective anthropomorphic phantom study using a 3D-T2W-TSE sequence for MR-guided-radiotherapy.
Yuan J; Xue C; Lo G; Wong OL; Zhou Y; Yu SK; Cheung KY
Quant Imaging Med Surg; 2021 May; 11(5):1870-1887. PubMed ID: 33936971
[TBL] [Abstract][Full Text] [Related]
18. Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study.
Larue RTHM; van Timmeren JE; de Jong EEC; Feliciani G; Leijenaar RTH; Schreurs WMJ; Sosef MN; Raat FHPJ; van der Zande FHR; Das M; van Elmpt W; Lambin P
Acta Oncol; 2017 Nov; 56(11):1544-1553. PubMed ID: 28885084
[TBL] [Abstract][Full Text] [Related]
19. Multicenter evaluation of MRI-based radiomic features: A phantom study.
Rai R; Holloway LC; Brink C; Field M; Christiansen RL; Sun Y; Barton MB; Liney GP
Med Phys; 2020 Jul; 47(7):3054-3063. PubMed ID: 32277703
[TBL] [Abstract][Full Text] [Related]
20. T2w-MRI signal normalization affects radiomics features reproducibility.
Scalco E; Belfatto A; Mastropietro A; Rancati T; Avuzzi B; Messina A; Valdagni R; Rizzo G
Med Phys; 2020 Apr; 47(4):1680-1691. PubMed ID: 31971614
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]