BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 38319168)

  • 1. The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
    Whybra P; Zwanenburg A; Andrearczyk V; Schaer R; Apte AP; Ayotte A; Baheti B; Bakas S; Bettinelli A; Boellaard R; Boldrini L; Buvat I; Cook GJR; Dietsche F; Dinapoli N; Gabryś HS; Goh V; Guckenberger M; Hatt M; Hosseinzadeh M; Iyer A; Lenkowicz J; Loutfi MAL; Löck S; Marturano F; Morin O; Nioche C; Orlhac F; Pati S; Rahmim A; Rezaeijo SM; Rookyard CG; Salmanpour MR; Schindele A; Shiri I; Spezi E; Tanadini-Lang S; Tixier F; Upadhaya T; Valentini V; van Griethuysen JJM; Yousefirizi F; Zaidi H; Müller H; Vallières M; Depeursinge A
    Radiology; 2024 Feb; 310(2):e231319. PubMed ID: 38319168
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
    Zwanenburg A; Vallières M; Abdalah MA; Aerts HJWL; Andrearczyk V; Apte A; Ashrafinia S; Bakas S; Beukinga RJ; Boellaard R; Bogowicz M; Boldrini L; Buvat I; Cook GJR; Davatzikos C; Depeursinge A; Desseroit MC; Dinapoli N; Dinh CV; Echegaray S; El Naqa I; Fedorov AY; Gatta R; Gillies RJ; Goh V; Götz M; Guckenberger M; Ha SM; Hatt M; Isensee F; Lambin P; Leger S; Leijenaar RTH; Lenkowicz J; Lippert F; Losnegård A; Maier-Hein KH; Morin O; Müller H; Napel S; Nioche C; Orlhac F; Pati S; Pfaehler EAG; Rahmim A; Rao AUK; Scherer J; Siddique MM; Sijtsema NM; Socarras Fernandez J; Spezi E; Steenbakkers RJHM; Tanadini-Lang S; Thorwarth D; Troost EGC; Upadhaya T; Valentini V; van Dijk LV; van Griethuysen J; van Velden FHP; Whybra P; Richter C; Löck S
    Radiology; 2020 May; 295(2):328-338. PubMed ID: 32154773
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.
    Lee H; Chang W; Kim HY; Sung P; Cho J; Lee YJ; Kim YH
    Eur Radiol; 2024 Mar; 34(3):2036-2047. PubMed ID: 37656175
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Radiomics software comparison using digital phantom and patient data: IBSI-compliance does not guarantee concordance of feature values.
    Paquier Z; Chao SL; Acquisto A; Fenton C; Guiot T; Dhont J; Levillain H; Gulyban A; Bali MA; Reynaert N
    Biomed Phys Eng Express; 2022 Sep; 8(6):. PubMed ID: 36049399
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The impact of phantom design and material-dependence on repeatability and reproducibility of CT-based radiomics features.
    Li Y; Reyhan M; Zhang Y; Wang X; Zhou J; Zhang Y; Yue NJ; Nie K
    Med Phys; 2022 Mar; 49(3):1648-1659. PubMed ID: 35103332
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom Study.
    Lee SB; Cho YJ; Hong Y; Jeong D; Lee J; Kim SH; Lee S; Choi YH
    Invest Radiol; 2022 May; 57(5):308-317. PubMed ID: 34839305
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Visual Interpretation of Radiomics Features in Filtered Computed Tomography Images during the Portal Phase of Acute Pancreatitis.
    He W; Tang M; Jiang X; Xiao B; Wei J; Zhao Y; Zhu Y; Chen X
    Discov Med; 2024 Apr; 36(183):730-738. PubMed ID: 38665022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
    Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
    J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study.
    Michallek F; Genske U; Niehues SM; Hamm B; Jahnke P
    Eur Radiol; 2022 Jul; 32(7):4587-4595. PubMed ID: 35174400
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers.
    Bagher-Ebadian H; Siddiqui F; Liu C; Movsas B; Chetty IJ
    Med Phys; 2017 May; 44(5):1755-1770. PubMed ID: 28261818
    [TBL] [Abstract][Full Text] [Related]  

  • 14. In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional Study.
    Wennmann M; Bauer F; Klein A; Chmelik J; Grözinger M; Rotkopf LT; Neher P; Gnirs R; Kurz FT; Nonnenmacher T; Sauer S; Weinhold N; Goldschmidt H; Kleesiek J; Bonekamp D; Weber TF; Delorme S; Maier-Hein K; Schlemmer HP; Götz M
    Invest Radiol; 2023 Apr; 58(4):253-264. PubMed ID: 36165988
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer.
    Korte JC; Cardenas C; Hardcastle N; Kron T; Wang J; Bahig H; Elgohari B; Ger R; Court L; Fuller CD; Ng SP
    Sci Rep; 2021 Sep; 11(1):17633. PubMed ID: 34480036
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. The influence of cardiac motion on radiomics features: radiomics features of non-enhanced CMR cine images greatly vary through the cardiac cycle.
    Alis D; Yergin M; Asmakutlu O; Topel C; Karaarslan E
    Eur Radiol; 2021 May; 31(5):2706-2715. PubMed ID: 33051731
    [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. Technical Note: ROdiomiX: A validated software for radiomics analysis of medical images in radiation oncology.
    Bagher-Ebadian H; Chetty IJ
    Med Phys; 2021 Jan; 48(1):354-365. PubMed ID: 33169367
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.