315 related articles for article (PubMed ID: 31131906)
1. Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI-radiomic features.
Tixier F; Um H; Young RJ; Veeraraghavan H
Med Phys; 2019 Aug; 46(8):3582-3591. PubMed ID: 31131906
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI.
Zhao W; Hu Z; Kazerooni AF; Körzdörfer G; Nittka M; Davatzikos C; Viswanath SE; Wang X; Badve C; Ma D
Invest Radiol; 2024 May; 59(5):359-371. PubMed ID: 37812483
[TBL] [Abstract][Full Text] [Related]
4. Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.
Lee M; Woo B; Kuo MD; Jamshidi N; Kim JH
Korean J Radiol; 2017; 18(3):498-509. PubMed ID: 28458602
[TBL] [Abstract][Full Text] [Related]
5. Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets.
Um H; Tixier F; Bermudez D; Deasy JO; Young RJ; Veeraraghavan H
Phys Med Biol; 2019 Aug; 64(16):165011. PubMed ID: 31272093
[TBL] [Abstract][Full Text] [Related]
6. Influence of Image Processing on Radiomic Features From Magnetic Resonance Imaging.
Wichtmann BD; Harder FN; Weiss K; Schönberg SO; Attenberger UI; Alkadhi H; Pinto Dos Santos D; Baeßler B
Invest Radiol; 2023 Mar; 58(3):199-208. PubMed ID: 36070524
[TBL] [Abstract][Full Text] [Related]
7. Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma.
Moradmand H; Aghamiri SMR; Ghaderi R
J Appl Clin Med Phys; 2020 Jan; 21(1):179-190. PubMed ID: 31880401
[TBL] [Abstract][Full Text] [Related]
8. Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test-retest and image registration analyses.
Shiri I; Hajianfar G; Sohrabi A; Abdollahi H; P Shayesteh S; Geramifar P; Zaidi H; Oveisi M; Rahmim A
Med Phys; 2020 Sep; 47(9):4265-4280. PubMed ID: 32615647
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Normative Baseline for Radiomics in Brain MRI: Evaluating the Robustness, Regional Variations, and Reproducibility on FLAIR Images.
Pandey U; Saini J; Kumar M; Gupta R; Ingalhalikar M
J Magn Reson Imaging; 2021 Feb; 53(2):394-407. PubMed ID: 32864820
[TBL] [Abstract][Full Text] [Related]
11. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
[TBL] [Abstract][Full Text] [Related]
12. Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.
Pati S; Verma R; Akbari H; Bilello M; Hill VB; Sako C; Correa R; Beig N; Venet L; Thakur S; Serai P; Ha SM; Blake GD; Shinohara RT; Tiwari P; Bakas S
Med Phys; 2020 Dec; 47(12):6039-6052. PubMed ID: 33118182
[TBL] [Abstract][Full Text] [Related]
13. Robustness of radiomics to variations in segmentation methods in multimodal brain MRI.
Poirot MG; Caan MWA; Ruhe HG; Bjørnerud A; Groote I; Reneman L; Marquering HA
Sci Rep; 2022 Oct; 12(1):16712. PubMed ID: 36202934
[TBL] [Abstract][Full Text] [Related]
14. Robustness of Radiomic Features in [
Lu L; Lv W; Jiang J; Ma J; Feng Q; Rahmim A; Chen W
Mol Imaging Biol; 2016 Dec; 18(6):935-945. PubMed ID: 27324369
[TBL] [Abstract][Full Text] [Related]
15. Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI-radiomics of the brain.
Bologna M; Corino V; Mainardi L
Med Phys; 2019 Nov; 46(11):5116-5123. PubMed ID: 31539450
[TBL] [Abstract][Full Text] [Related]
16. Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging.
Roy S; Whitehead TD; Quirk JD; Salter A; Ademuyiwa FO; Li S; An H; Shoghi KI
EBioMedicine; 2020 Sep; 59():102963. PubMed ID: 32891051
[TBL] [Abstract][Full Text] [Related]
17. Robustness of [
Palomino-Fernández D; Seiffert AP; Gómez-Grande A; Jiménez López-Guarch C; Moreno G; Bueno H; Gómez EJ; Sánchez-González P
Comput Methods Programs Biomed; 2024 Feb; 244():107981. PubMed ID: 38154326
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Robustness of Radiomic Features: Two-Dimensional versus Three-Dimensional MRI-Based Feature Reproducibility in Lipomatous Soft-Tissue Tumors.
Sudjai N; Siriwanarangsun P; Lektrakul N; Saiviroonporn P; Maungsomboon S; Phimolsarnti R; Asavamongkolkul A; Chandhanayingyong C
Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673068
[TBL] [Abstract][Full Text] [Related]
20. Robust Radiomics feature quantification using semiautomatic volumetric segmentation.
Parmar C; Rios Velazquez E; Leijenaar R; Jermoumi M; Carvalho S; Mak RH; Mitra S; Shankar BU; Kikinis R; Haibe-Kains B; Lambin P; Aerts HJ
PLoS One; 2014; 9(7):e102107. PubMed ID: 25025374
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]