180 related articles for article (PubMed ID: 38132224)
1. A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in
Pasini G; Russo G; Mantarro C; Bini F; Richiusa S; Morgante L; Comelli A; Russo GI; Sabini MG; Cosentino S; Marinozzi F; Ippolito M; Stefano A
Diagnostics (Basel); 2023 Dec; 13(24):. PubMed ID: 38132224
[TBL] [Abstract][Full Text] [Related]
2. Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?
Pasini G; Stefano A; Russo G; Comelli A; Marinozzi F; Bini F
Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980475
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
5. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
[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. Robustness of magnetic resonance imaging and positron emission tomography radiomic features in prostate cancer: Impact on recurrence prediction after radiation therapy.
Dutta A; Chan J; Haworth A; Dubowitz DJ; Kneebone A; Reynolds HM
Phys Imaging Radiat Oncol; 2024 Jan; 29():100530. PubMed ID: 38275002
[TBL] [Abstract][Full Text] [Related]
8. Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI.
Khanfari H; Mehranfar S; Cheki M; Mohammadi Sadr M; Moniri S; Heydarheydari S; Rezaeijo SM
BMC Med Imaging; 2023 Nov; 23(1):195. PubMed ID: 37993801
[TBL] [Abstract][Full Text] [Related]
9. A subregion-based positron emission tomography/computed tomography (PET/CT) radiomics model for the classification of non-small cell lung cancer histopathological subtypes.
Shen H; Chen L; Liu K; Zhao K; Li J; Yu L; Ye H; Zhu W
Quant Imaging Med Surg; 2021 Jul; 11(7):2918-2932. PubMed ID: 34249623
[TBL] [Abstract][Full Text] [Related]
10. Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging.
Granata V; Fusco R; Brunese MC; Di Mauro A; Avallone A; Ottaiano A; Izzo F; Normanno N; Petrillo A
Radiol Med; 2024 Mar; 129(3):420-428. PubMed ID: 38308061
[TBL] [Abstract][Full Text] [Related]
11. The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods.
Hosseini SA; Shiri I; Ghaffarian P; Hajianfar G; Avval AH; Seyfi M; Servaes S; Rosa-Neto P; Zaidi H; Ay MR
Ann Nucl Med; 2024 Apr; ():. PubMed ID: 38575814
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment.
Granata V; Fusco R; Brunese MC; Ferrara G; Tatangelo F; Ottaiano A; Avallone A; Miele V; Normanno N; Izzo F; Petrillo A
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248029
[TBL] [Abstract][Full Text] [Related]
13. Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma.
Park JE; Ham S; Kim HS; Park SY; Yun J; Lee H; Choi SH; Kim N
Eur Radiol; 2021 May; 31(5):3127-3137. PubMed ID: 33128598
[TBL] [Abstract][Full Text] [Related]
14. CT-based radiomics in predicting pathological response in non-small cell lung cancer patients receiving neoadjuvant immunotherapy.
Lin Q; Wu HJ; Song QS; Tang YK
Front Oncol; 2022; 12():937277. PubMed ID: 36267975
[TBL] [Abstract][Full Text] [Related]
15. Reliability of MRI radiomics features in MR-guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within-subject agreement.
Xue C; Yuan J; Poon DM; Zhou Y; Yang B; Yu SK; Cheung YK
Med Phys; 2021 Nov; 48(11):6976-6986. PubMed ID: 34562286
[TBL] [Abstract][Full Text] [Related]
16. Radiomics Analysis of Brain [
Alongi P; Laudicella R; Panasiti F; Stefano A; Comelli A; Giaccone P; Arnone A; Minutoli F; Quartuccio N; Cupidi C; Arnone G; Piccoli T; Grimaldi LME; Baldari S; Russo G
Diagnostics (Basel); 2022 Apr; 12(4):. PubMed ID: 35453981
[TBL] [Abstract][Full Text] [Related]
17. Identification of reproducible radiomic features from on-board volumetric images: A multi-institutional phantom study.
Adachi T; Nakamura M; Iramina H; Matsumoto K; Ishihara Y; Tachibana H; Kurokawa S; Cho S; Tanaka K; Fukumoto K; Nishiyama T; Kito S; Mizowaki T
Med Phys; 2023 Sep; 50(9):5585-5596. PubMed ID: 36932977
[TBL] [Abstract][Full Text] [Related]
18. Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.
Russo G; Stefano A; Alongi P; Comelli A; Catalfamo B; Mantarro C; Longo C; Altieri R; Certo F; Cosentino S; Sabini MG; Richiusa S; Barbagallo GMV; Ippolito M
Curr Oncol; 2021 Dec; 28(6):5318-5331. PubMed ID: 34940083
[TBL] [Abstract][Full Text] [Related]
19. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
