199 related articles for article (PubMed ID: 36739358)
1. Radiomic phenotyping of the lung parenchyma in a lung cancer screening cohort.
Haghighi B; Horng H; Noël PB; Cohen EA; Pantalone L; Vachani A; Rendle KA; Wainwright J; Saia C; Shinohara RT; Barbosa EM; Kontos D
Sci Rep; 2023 Feb; 13(1):2040. PubMed ID: 36739358
[TBL] [Abstract][Full Text] [Related]
2. Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.
Emaminejad N; Wahi-Anwar MW; Kim GHJ; Hsu W; Brown M; McNitt-Gray M
Med Phys; 2021 Jun; 48(6):2906-2919. PubMed ID: 33706419
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
Choe J; Lee SM; Do KH; Lee G; Lee JG; Lee SM; Seo JB
Radiology; 2019 Aug; 292(2):365-373. PubMed ID: 31210613
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. [The influence of CT acquisition and reconstruction parameters on the stability of radiomic features of pure ground-glass nodules].
Yang SX; Wu N; Zhang L; Li M
Zhonghua Zhong Liu Za Zhi; 2022 Sep; 44(9):981-986. PubMed ID: 36164701
[No Abstract] [Full Text] [Related]
6. Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.
Tunali I; Hall LO; Napel S; Cherezov D; Guvenis A; Gillies RJ; Schabath MB
Med Phys; 2019 Nov; 46(11):5075-5085. PubMed ID: 31494946
[TBL] [Abstract][Full Text] [Related]
7. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
8. Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types.
Denzler S; Vuong D; Bogowicz M; Pavic M; Frauenfelder T; Thierstein S; Eboulet EI; Maurer B; Schniering J; Gabryś HS; Schmitt-Opitz I; Pless M; Foerster R; Guckenberger M; Tanadini-Lang S
Br J Radiol; 2021 Apr; 94(1120):20200947. PubMed ID: 33544646
[TBL] [Abstract][Full Text] [Related]
9. A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation.
Lin FY; Chang YC; Huang HY; Li CC; Chen YC; Chen CM
Eur Radiol; 2022 Jun; 32(6):3767-3777. PubMed ID: 35020016
[TBL] [Abstract][Full Text] [Related]
10. Repeatability of
Pfaehler E; Beukinga RJ; de Jong JR; Slart RHJA; Slump CH; Dierckx RAJO; Boellaard R
Med Phys; 2019 Feb; 46(2):665-678. PubMed ID: 30506687
[TBL] [Abstract][Full Text] [Related]
11. Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings.
Meyer M; Ronald J; Vernuccio F; Nelson RC; Ramirez-Giraldo JC; Solomon J; Patel BN; Samei E; Marin D
Radiology; 2019 Dec; 293(3):583-591. PubMed ID: 31573400
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation.
Yamashita R; Perrin T; Chakraborty J; Chou JF; Horvat N; Koszalka MA; Midya A; Gonen M; Allen P; Jarnagin WR; Simpson AL; Do RKG
Eur Radiol; 2020 Jan; 30(1):195-205. PubMed ID: 31392481
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy.
Singh A; Horng H; Roshkovan L; Weeks JK; Hershman M; Noël P; Luna JM; Cohen EA; Pantalone L; Shinohara RT; Bauml JM; Thompson JC; Aggarwal C; Carpenter EL; Katz SI; Kontos D
Sci Rep; 2022 Jun; 12(1):9993. PubMed ID: 35705618
[TBL] [Abstract][Full Text] [Related]
17. Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.
Mackin D; Ger R; Gay S; Dodge C; Zhang L; Yang J; Jones AK; Court L
Invest Radiol; 2019 May; 54(5):288-295. PubMed ID: 30570504
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules.
Liu J; Xu H; Qing H; Li Y; Yang X; He C; Ren J; Zhou P
Front Oncol; 2020; 10():634298. PubMed ID: 33604303
[TBL] [Abstract][Full Text] [Related]
19. Reproducibility of radiomics for deciphering tumor phenotype with imaging.
Zhao B; Tan Y; Tsai WY; Qi J; Xie C; Lu L; Schwartz LH
Sci Rep; 2016 Mar; 6():23428. PubMed ID: 27009765
[TBL] [Abstract][Full Text] [Related]
20. Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: impact of tumor segmentation variability.
Qiu Q; Duan J; Duan Z; Meng X; Ma C; Zhu J; Lu J; Liu T; Yin Y
Quant Imaging Med Surg; 2019 Mar; 9(3):453-464. PubMed ID: 31032192
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]