177 related articles for article (PubMed ID: 33568735)
1. Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.
Le EPV; Rundo L; Tarkin JM; Evans NR; Chowdhury MM; Coughlin PA; Pavey H; Wall C; Zaccagna F; Gallagher FA; Huang Y; Sriranjan R; Le A; Weir-McCall JR; Roberts M; Gilbert FJ; Warburton EA; Schönlieb CB; Sala E; Rudd JHF
Sci Rep; 2021 Feb; 11(1):3499. PubMed ID: 33568735
[TBL] [Abstract][Full Text] [Related]
2. Robustness and classification capabilities of MRI radiomic features in identifying carotid plaque vulnerability.
Meddings Z; Rundo L; Sadat U; Zhao X; Teng Z; Graves MJ
Br J Radiol; 2024 May; 97(1158):1118-1124. PubMed ID: 38711198
[TBL] [Abstract][Full Text] [Related]
3. The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.
Shiri I; Rahmim A; Ghaffarian P; Geramifar P; Abdollahi H; Bitarafan-Rajabi A
Eur Radiol; 2017 Nov; 27(11):4498-4509. PubMed ID: 28567548
[TBL] [Abstract][Full Text] [Related]
4. Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.
Kolossváry M; Karády J; Kikuchi Y; Ivanov A; Schlett CL; Lu MT; Foldyna B; Merkely B; Aerts HJ; Hoffmann U; Maurovich-Horvat P
Radiology; 2019 Oct; 293(1):89-96. PubMed ID: 31385755
[TBL] [Abstract][Full Text] [Related]
5. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
6. Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
Mukherjee S; Korfiatis P; Patnam NG; Trivedi KH; Karbhari A; Suman G; Fletcher JG; Goenka AH
Abdom Radiol (NY); 2024 Mar; 49(3):964-974. PubMed ID: 38175255
[TBL] [Abstract][Full Text] [Related]
7. Identification of pathology-confirmed vulnerable atherosclerotic lesions by coronary computed tomography angiography using radiomics analysis.
Li XN; Yin WH; Sun Y; Kang H; Luo J; Chen K; Hou ZH; Gao Y; Ren XS; Yu YT; An YQ; Zhang Y; Wang HY; Lu B
Eur Radiol; 2022 Jun; 32(6):4003-4013. PubMed ID: 35171348
[TBL] [Abstract][Full Text] [Related]
8. CT angiography-based radiomics as a tool for carotid plaque characterization: a pilot study.
Cilla S; Macchia G; Lenkowicz J; Tran EH; Pierro A; Petrella L; Fanelli M; Sardu C; Re A; Boldrini L; Indovina L; De Filippo CM; Caradonna E; Deodato F; Massetti M; Valentini V; Modugno P
Radiol Med; 2022 Jul; 127(7):743-753. PubMed ID: 35680773
[TBL] [Abstract][Full Text] [Related]
9. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography.
Wang LJ; Zhai PQ; Xue LL; Shi CY; Zhang Q; Zhang H
J Stroke Cerebrovasc Dis; 2023 Aug; 32(8):107209. PubMed ID: 37290153
[TBL] [Abstract][Full Text] [Related]
12. Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography.
Lin A; Kolossváry M; Cadet S; McElhinney P; Goeller M; Han D; Yuvaraj J; Nerlekar N; Slomka PJ; Marwan M; Nicholls SJ; Achenbach S; Maurovich-Horvat P; Wong DTL; Dey D
JACC Cardiovasc Imaging; 2022 May; 15(5):859-871. PubMed ID: 35512957
[TBL] [Abstract][Full Text] [Related]
13. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
14. Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics.
Xia H; Yuan L; Zhao W; Zhang C; Zhao L; Hou J; Luan Y; Bi Y; Feng Y
Front Neurol; 2023; 14():1105616. PubMed ID: 36846119
[TBL] [Abstract][Full Text] [Related]
15. Radiomics based on
Ou X; Zhang J; Wang J; Pang F; Wang Y; Wei X; Ma X
Cancer Med; 2020 Jan; 9(2):496-506. PubMed ID: 31769230
[TBL] [Abstract][Full Text] [Related]
16. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
[TBL] [Abstract][Full Text] [Related]
17. Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography Angiography.
Dong Z; Zhou C; Li H; Shi J; Liu J; Liu Q; Su X; Zhang F; Cheng X; Lu G
Cerebrovasc Dis; 2022; 51(5):647-654. PubMed ID: 35259744
[TBL] [Abstract][Full Text] [Related]
18. CT texture analysis of vertebrobasilar artery calcification to identify culprit plaques.
Liu B; Xue C; Lu H; Wang C; Duan S; Yang H
Front Neurol; 2024; 15():1381370. PubMed ID: 38803646
[TBL] [Abstract][Full Text] [Related]
19. Radiomics Signatures of Carotid Plaque on Computed Tomography Angiography : An Approach to Identify Symptomatic Plaques.
Shi J; Sun Y; Hou J; Li X; Fan J; Zhang L; Zhang R; You H; Wang Z; Zhang A; Zhang J; Jin Q; Zhao L; Yang B
Clin Neuroradiol; 2023 Dec; 33(4):931-941. PubMed ID: 37195452
[TBL] [Abstract][Full Text] [Related]
20. Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features.
de Farias EC; di Noia C; Han C; Sala E; Castelli M; Rundo L
Sci Rep; 2021 Nov; 11(1):21361. PubMed ID: 34725417
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
