These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 28948196)

  • 1. Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems.
    Mendel KR; Li H; Lan L; Cahill CM; Rael V; Abe H; Giger ML
    J Med Imaging (Bellingham); 2018 Jan; 5(1):011002. PubMed ID: 28948196
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.
    Robinson K; Li H; Lan L; Schacht D; Giger M
    Med Phys; 2019 May; 46(5):2145-2156. PubMed ID: 30802972
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices.
    Keller BM; Oustimov A; Wang Y; Chen J; Acciavatti RJ; Zheng Y; Ray S; Gee JC; Maidment AD; Kontos D
    J Med Imaging (Bellingham); 2015 Apr; 2(2):024501. PubMed ID: 26158105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mammographic density measurements are not affected by mammography system.
    Damases CN; Brennan PC; McEntee MF
    J Med Imaging (Bellingham); 2015 Jan; 2(1):015501. PubMed ID: 26158085
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.
    Li H; Giger ML; Huynh BQ; Antropova NO
    J Med Imaging (Bellingham); 2017 Oct; 4(4):041304. PubMed ID: 28924576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.
    Zheng Y; Keller BM; Ray S; Wang Y; Conant EF; Gee JC; Kontos D
    Med Phys; 2015 Jul; 42(7):4149-60. PubMed ID: 26133615
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location.
    Li H; Giger ML; Huo Z; Olopade OI; Lan L; Weber BL; Bonta I
    Med Phys; 2004 Mar; 31(3):549-55. PubMed ID: 15070253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.
    Lafata K; Cai J; Wang C; Hong J; Kelsey CR; Yin FF
    Phys Med Biol; 2018 Nov; 63(22):225003. PubMed ID: 30272571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.
    Shafiq-Ul-Hassan M; Zhang GG; Latifi K; Ullah G; Hunt DC; Balagurunathan Y; Abdalah MA; Schabath MB; Goldgof DG; Mackin D; Court LE; Gillies RJ; Moros EG
    Med Phys; 2017 Mar; 44(3):1050-1062. PubMed ID: 28112418
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma.
    Goya-Outi J; Orlhac F; Calmon R; Alentorn A; Nioche C; Philippe C; Puget S; Boddaert N; Buvat I; Grill J; Frouin V; Frouin F
    Phys Med Biol; 2018 May; 63(10):105003. PubMed ID: 29633962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust Radiomic Feature Selection in Digital Mammography: Understanding the Effect of Imaging Acquisition Physics Using Phantom and Clinical Data Analysis.
    Acciavatti RJ; Cohen EA; Maghsoudi OH; Gastounioti A; Pantalone L; Hsieh MK; Conant EF; Scott CG; Winham SJ; Kerlikowske K; Vachon C; Maidment ADA; Kontos D
    Proc SPIE Int Soc Opt Eng; 2020 Feb; 11314():. PubMed ID: 37982014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features.
    Kalpathy-Cramer J; Mamomov A; Zhao B; Lu L; Cherezov D; Napel S; Echegaray S; Rubin D; McNitt-Gray M; Lo P; Sieren JC; Uthoff J; Dilger SK; Driscoll B; Yeung I; Hadjiiski L; Cha K; Balagurunathan Y; Gillies R; Goldgof D
    Tomography; 2016 Dec; 2(4):430-437. PubMed ID: 28149958
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Radiomic feature-based Nipple Detection Algorithm on Digital Mammography.
    Jiang J; Zhang Y; Lu Y; Guo Y; Chen H
    Med Phys; 2019 Oct; 46(10):4381-4391. PubMed ID: 31242321
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.
    Shafiq-Ul-Hassan M; Zhang GG; Hunt DC; Latifi K; Ullah G; Gillies RJ; Moros EG
    J Med Imaging (Bellingham); 2018 Jan; 5(1):011013. PubMed ID: 29285518
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interpreting comprehensive two-dimensional gas chromatography using peak topography maps with application to petroleum forensics.
    Ghasemi Damavandi H; Sen Gupta A; Nelson RK; Reddy CM
    Chem Cent J; 2016; 10():75. PubMed ID: 27994639
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Serial T2-Weighted Magnetic Resonance Images Acquired on a 1.5 Tesla Magnetic Resonance Linear Accelerator Reveal Radiomic Feature Variation in Organs at Risk: An Exploratory Analysis of Novel Metrics of Tissue Response in Prostate Cancer.
    Lorenz JW; Schott D; Rein L; Mostafaei F; Noid G; Lawton C; Bedi M; Li XA; Schultz CJ; Paulson E; Hall WA
    Cureus; 2019 Apr; 11(4):e4510. PubMed ID: 31259119
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.
    Li H; Giger ML; Olopade OI; Margolis A; Lan L; Chinander MR
    Acad Radiol; 2005 Jul; 12(7):863-73. PubMed ID: 16039540
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variation in algorithm implementation across radiomics software.
    Foy JJ; Robinson KR; Li H; Giger ML; Al-Hallaq H; Armato SG
    J Med Imaging (Bellingham); 2018 Oct; 5(4):044505. PubMed ID: 30840747
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.