691 related articles for article (PubMed ID: 25025374)
1. 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]
2. Volumetric CT-based segmentation of NSCLC using 3D-Slicer.
Velazquez ER; Parmar C; Jermoumi M; Mak RH; van Baardwijk A; Fennessy FM; Lewis JH; De Ruysscher D; Kikinis R; Lambin P; Aerts HJ
Sci Rep; 2013 Dec; 3():3529. PubMed ID: 24346241
[TBL] [Abstract][Full Text] [Related]
3. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.
Owens CA; Peterson CB; Tang C; Koay EJ; Yu W; Mackin DS; Li J; Salehpour MR; Fuentes DT; Court LE; Yang J
PLoS One; 2018; 13(10):e0205003. PubMed ID: 30286184
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation.
Yip SSF; Parmar C; Blezek D; Estepar RSJ; Pieper S; Kim J; Aerts HJWL
PLoS One; 2017; 12(6):e0178944. PubMed ID: 28594880
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Stability and Reproducibility of Radiomic Features Based Various Segmentation Technique on MR Images of Hepatocellular Carcinoma (HCC).
Haniff NSM; Abdul Karim MK; Osman NH; Saripan MI; Che Isa IN; Ibahim MJ
Diagnostics (Basel); 2021 Aug; 11(9):. PubMed ID: 34573915
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.
Awad J; Owrangi A; Villemaire L; O'Riordan E; Parraga G; Fenster A
Med Phys; 2012 Feb; 39(2):851-65. PubMed ID: 22320795
[TBL] [Abstract][Full Text] [Related]
10. Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images.
Duan J; Qiu Q; Zhu J; Shang D; Dou X; Sun T; Yin Y; Meng X
Front Oncol; 2022; 12():881931. PubMed ID: 35494061
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.
Leijenaar RT; Carvalho S; Velazquez ER; van Elmpt WJ; Parmar C; Hoekstra OS; Hoekstra CJ; Boellaard R; Dekker AL; Gillies RJ; Aerts HJ; Lambin P
Acta Oncol; 2013 Oct; 52(7):1391-7. PubMed ID: 24047337
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability.
Granzier RWY; Verbakel NMH; Ibrahim A; van Timmeren JE; van Nijnatten TJA; Leijenaar RTH; Lobbes MBI; Smidt ML; Woodruff HC
Sci Rep; 2020 Aug; 10(1):14163. PubMed ID: 32843663
[TBL] [Abstract][Full Text] [Related]
15. A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
Hareendranathan AR; Mabee M; Punithakumar K; Noga M; Jaremko JL
Int J Comput Assist Radiol Surg; 2016 Jan; 11(1):31-42. PubMed ID: 26092660
[TBL] [Abstract][Full Text] [Related]
16. A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling.
Shahedi M; Halicek M; Guo R; Zhang G; Schuster DM; Fei B
Med Phys; 2018 Jun; 45(6):2527-2541. PubMed ID: 29611216
[TBL] [Abstract][Full Text] [Related]
17. Radiomics feature reproducibility under inter-rater variability in segmentations of CT images.
Haarburger C; Müller-Franzes G; Weninger L; Kuhl C; Truhn D; Merhof D
Sci Rep; 2020 Jul; 10(1):12688. PubMed ID: 32728098
[TBL] [Abstract][Full Text] [Related]
18. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes.
van Baardwijk A; Bosmans G; Boersma L; Buijsen J; Wanders S; Hochstenbag M; van Suylen RJ; Dekker A; Dehing-Oberije C; Houben R; Bentzen SM; van Kroonenburgh M; Lambin P; De Ruysscher D
Int J Radiat Oncol Biol Phys; 2007 Jul; 68(3):771-8. PubMed ID: 17398018
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software.
Wang L; Tan J; Ge Y; Tao X; Cui Z; Fei Z; Lu J; Zhang H; Pan Z
Acta Radiol; 2021 Mar; 62(3):291-301. PubMed ID: 32517533
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
