152 related articles for article (PubMed ID: 38294307)
21. Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study.
Zhong J; Xia Y; Chen Y; Li J; Lu W; Shi X; Feng J; Yan F; Yao W; Zhang H
Eur Radiol; 2023 Feb; 33(2):812-824. PubMed ID: 36197579
[TBL] [Abstract][Full Text] [Related]
22. Generating High-Resolution Synthetic CT from Lung MRI with Ultrashort Echo Times: Initial Evaluation in Cystic Fibrosis.
Longuefosse A; Raoult J; Benlala I; Denis de Senneville B; Benkert T; Macey J; Bui S; Berger P; Ferretti G; Gaubert JY; Liberge R; Hutt A; Morel B; Laurent F; Baldacci F; Dournes G
Radiology; 2023 Jul; 308(1):e230052. PubMed ID: 37404152
[TBL] [Abstract][Full Text] [Related]
23. Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity.
Prayer F; Watzenböck ML; Heidinger BH; Rainer J; Schmidbauer V; Prosch H; Ulm B; Rubesova E; Prayer D; Kasprian G
Eur Radiol; 2023 Jun; 33(6):4205-4213. PubMed ID: 36604329
[TBL] [Abstract][Full Text] [Related]
24. Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment planning?
Liu X; Khalvati F; Namdar K; Fischer S; Lewis S; Taouli B; Haider MA; Jhaveri KS
Eur Radiol; 2021 Jan; 31(1):244-255. PubMed ID: 32749585
[TBL] [Abstract][Full Text] [Related]
25. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
26. Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.
Cui E; Li Z; Ma C; Li Q; Lei Y; Lan Y; Yu J; Zhou Z; Li R; Long W; Lin F
Eur Radiol; 2020 May; 30(5):2912-2921. PubMed ID: 32002635
[TBL] [Abstract][Full Text] [Related]
27. Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types.
Denzler S; Vuong D; Bogowicz M; Pavic M; Frauenfelder T; Thierstein S; Eboulet EI; Maurer B; Schniering J; Gabryś HS; Schmitt-Opitz I; Pless M; Foerster R; Guckenberger M; Tanadini-Lang S
Br J Radiol; 2021 Apr; 94(1120):20200947. PubMed ID: 33544646
[TBL] [Abstract][Full Text] [Related]
28. Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation.
Cheong EN; Park JE; Park SY; Jung SC; Kim HS
Eur Radiol; 2024 Mar; 34(3):2008-2023. PubMed ID: 37665391
[TBL] [Abstract][Full Text] [Related]
29. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
[TBL] [Abstract][Full Text] [Related]
30. Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases.
Taghavi M; Trebeschi S; Simões R; Meek DB; Beckers RCJ; Lambregts DMJ; Verhoef C; Houwers JB; van der Heide UA; Beets-Tan RGH; Maas M
Abdom Radiol (NY); 2021 Jan; 46(1):249-256. PubMed ID: 32583138
[TBL] [Abstract][Full Text] [Related]
31. Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.
Dong X; Dan X; Yawen A; Haibo X; Huan L; Mengqi T; Linglong C; Zhao R
Thorac Cancer; 2020 Sep; 11(9):2650-2659. PubMed ID: 32767522
[TBL] [Abstract][Full Text] [Related]
32. Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.
Kocak B; Ates E; Durmaz ES; Ulusan MB; Kilickesmez O
Eur Radiol; 2019 Sep; 29(9):4765-4775. PubMed ID: 30747300
[TBL] [Abstract][Full Text] [Related]
33. Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study.
Chen J; Wee L; Dekker A; Bermejo I
Med Phys; 2023 Jul; 50(7):4220-4233. PubMed ID: 37102270
[TBL] [Abstract][Full Text] [Related]
34. Quantitative MRI-based radiomics analysis identifies blood flow feature associated to overall survival for rectal cancer patients.
Knuth F; Tohidinezhad F; Winter RM; Bakke KM; Negård A; Holmedal SH; Ree AH; Meltzer S; Traverso A; Redalen KR
Sci Rep; 2024 Jan; 14(1):258. PubMed ID: 38167665
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
[TBL] [Abstract][Full Text] [Related]
37. Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image.
Zhu L; Wang F; Chen X; Dong Q; Xia N; Chen J; Li Z; Zhu C
BMC Med Imaging; 2023 Jul; 23(1):94. PubMed ID: 37460944
[TBL] [Abstract][Full Text] [Related]
38. Investigation of the Inter- and Intrascanner Reproducibility and Repeatability of Radiomics Features in T1-Weighted Brain MRI.
Mitchell-Hay RN; Ahearn TS; Murray AD; Waiter GD
J Magn Reson Imaging; 2022 Nov; 56(5):1559-1568. PubMed ID: 35396777
[TBL] [Abstract][Full Text] [Related]
39. Differentiating Central Lung Tumors from Atelectasis with Contrast-Enhanced CT-Based Radiomics Features.
Chai R; Wang Q; Qin P; Zeng J; Ren J; Zhang R; Chu L; Zhang X; Guan Y
Biomed Res Int; 2021; 2021():5522452. PubMed ID: 34820455
[TBL] [Abstract][Full Text] [Related]
40. Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer.
Wong J; Baine M; Wisnoskie S; Bennion N; Zheng D; Yu L; Dalal V; Hollingsworth MA; Lin C; Zheng D
Sci Rep; 2021 Aug; 11(1):16328. PubMed ID: 34381070
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
