298 related articles for article (PubMed ID: 31272093)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma.
Ingrisch M; Schneider MJ; Nörenberg D; Negrao de Figueiredo G; Maier-Hein K; Suchorska B; Schüller U; Albert N; Brückmann H; Reiser M; Tonn JC; Ertl-Wagner B
Invest Radiol; 2017 Jun; 52(6):360-366. PubMed ID: 28079702
[TBL] [Abstract][Full Text] [Related]
7. Regression based overall survival prediction of glioblastoma multiforme patients using a single discovery cohort of multi-institutional multi-channel MR images.
Sanghani P; Ang BT; King NKK; Ren H
Med Biol Eng Comput; 2019 Aug; 57(8):1683-1691. PubMed ID: 31104273
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.
Lu Y; Patel M; Natarajan K; Ughratdar I; Sanghera P; Jena R; Watts C; Sawlani V
Magn Reson Imaging; 2020 Dec; 74():161-170. PubMed ID: 32980505
[TBL] [Abstract][Full Text] [Related]
9. Influence of image preprocessing on the segmentation-based reproducibility of radiomic features:
Koçak B; Yüzkan S; Mutlu S; Karagülle M; Kala A; Kadıoğlu M; Solak S; Sunman Ş; Temiz ZH; Ganiyusufoğlu AK
Diagn Interv Radiol; 2024 May; 30(3):152-162. PubMed ID: 38073244
[TBL] [Abstract][Full Text] [Related]
10. Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics.
Hajianfar G; Haddadi Avval A; Hosseini SA; Nazari M; Oveisi M; Shiri I; Zaidi H
Radiol Med; 2023 Dec; 128(12):1521-1534. PubMed ID: 37751102
[TBL] [Abstract][Full Text] [Related]
11. Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low-grade versus high-grade gliomas with machine learning.
Ubaldi L; Saponaro S; Giuliano A; Talamonti C; Retico A
Phys Med; 2023 Mar; 107():102538. PubMed ID: 36796177
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
Chaddad A; Sabri S; Niazi T; Abdulkarim B
Med Biol Eng Comput; 2018 Dec; 56(12):2287-2300. PubMed ID: 29915951
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.
Kadoya N; Tanaka S; Kajikawa T; Tanabe S; Abe K; Nakajima Y; Yamamoto T; Takahashi N; Takeda K; Dobashi S; Takeda K; Nakane K; Jingu K
Med Phys; 2020 Jun; 47(5):2197-2205. PubMed ID: 32096876
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.
Chaddad A; Desrosiers C; Toews M
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4035-4038. PubMed ID: 28325002
[TBL] [Abstract][Full Text] [Related]
18. Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features.
Li Y; Ammari S; Balleyguier C; Lassau N; Chouzenoux E
Cancers (Basel); 2021 Jun; 13(12):. PubMed ID: 34203896
[TBL] [Abstract][Full Text] [Related]
19. The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
Xu Y; He X; Li Y; Pang P; Shu Z; Gong X
J Magn Reson Imaging; 2021 Aug; 54(2):571-583. PubMed ID: 33559302
[TBL] [Abstract][Full Text] [Related]
20. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]