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 *

660 related articles for article (PubMed ID: 28872634)

  • 1. Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.
    Bakas S; Akbari H; Sotiras A; Bilello M; Rozycki M; Kirby JS; Freymann JB; Farahani K; Davatzikos C
    Sci Data; 2017 Sep; 4():170117. PubMed ID: 28872634
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
    Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.
    Li Y; Liu X; Qian Z; Sun Z; Xu K; Wang K; Fan X; Zhang Z; Li S; Wang Y; Jiang T
    Eur Radiol; 2018 Jul; 28(7):2960-2968. PubMed ID: 29404769
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Magnetic resonance imaging-based radiomic features for extrapolating infiltration levels of immune cells in lower-grade gliomas.
    Zhang X; Liu S; Zhao X; Shi X; Li J; Guo J; Niedermann G; Luo R; Zhang X
    Strahlenther Onkol; 2020 Oct; 196(10):913-921. PubMed ID: 32025804
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.
    Pati S; Verma R; Akbari H; Bilello M; Hill VB; Sako C; Correa R; Beig N; Venet L; Thakur S; Serai P; Ha SM; Blake GD; Shinohara RT; Tiwari P; Bakas S
    Med Phys; 2020 Dec; 47(12):6039-6052. PubMed ID: 33118182
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
    Beig N; Bera K; Prasanna P; Antunes J; Correa R; Singh S; Saeed Bamashmos A; Ismail M; Braman N; Verma R; Hill VB; Statsevych V; Ahluwalia MS; Varadan V; Madabhushi A; Tiwari P
    Clin Cancer Res; 2020 Apr; 26(8):1866-1876. PubMed ID: 32079590
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
    Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
    Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
    Thakur S; Doshi J; Pati S; Rathore S; Sako C; Bilello M; Ha SM; Shukla G; Flanders A; Kotrotsou A; Milchenko M; Liem S; Alexander GS; Lombardo J; Palmer JD; LaMontagne P; Nazeri A; Talbar S; Kulkarni U; Marcus D; Colen R; Davatzikos C; Erus G; Bakas S
    Neuroimage; 2020 Oct; 220():117081. PubMed ID: 32603860
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models.
    Zinn PO; Singh SK; Kotrotsou A; Hassan I; Thomas G; Luedi MM; Elakkad A; Elshafeey N; Idris T; Mosley J; Gumin J; Fuller GN; de Groot JF; Baladandayuthapani V; Sulman EP; Kumar AJ; Sawaya R; Lang FF; Piwnica-Worms D; Colen RR
    Clin Cancer Res; 2018 Dec; 24(24):6288-6299. PubMed ID: 30054278
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics in gliomas: A promising assistance 
for glioma clinical research.
    Leng Y; Wang X; Liao W; Cao Y
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 43(4):354-359. PubMed ID: 29774870
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiogenomics correlation between MR imaging features and mRNA-based subtypes in lower-grade glioma.
    Liu Z; Zhang J
    BMC Neurol; 2020 Jun; 20(1):259. PubMed ID: 32600353
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.
    Qian Z; Li Y; Sun Z; Fan X; Xu K; Wang K; Li S; Zhang Z; Jiang T; Liu X; Wang Y
    Aging (Albany NY); 2018 Oct; 10(10):2884-2899. PubMed ID: 30362964
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value.
    Lin P; Peng YT; Gao RZ; Wei Y; Li XJ; Huang SN; Fang YY; Wei ZX; Huang ZG; Yang H; Chen G
    J Cancer Res Clin Oncol; 2020 May; 146(5):1253-1262. PubMed ID: 32065261
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging.
    Li Y; Liang Y; Sun Z; Xu K; Fan X; Li S; Zhang Z; Jiang T; Liu X; Wang Y
    Neuroradiology; 2019 Nov; 61(11):1229-1237. PubMed ID: 31218383
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Glioma grading using structural magnetic resonance imaging and molecular data.
    Reza SMS; Samad MD; Shboul ZA; Jones KA; Iftekharuddin KM
    J Med Imaging (Bellingham); 2019 Apr; 6(2):024501. PubMed ID: 31037246
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative integration of radiomic and genomic data improves survival prediction of low-grade glioma patients.
    Ma C; Yao Z; Zhang Q; Zou X
    Math Biosci Eng; 2020 Dec; 18(1):727-744. PubMed ID: 33525116
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
    Ertosun MG; Rubin DL
    AMIA Annu Symp Proc; 2015; 2015():1899-908. PubMed ID: 26958289
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiogenomics of Gliomas.
    Badve C; Kanekar S
    Radiol Clin North Am; 2021 May; 59(3):441-455. PubMed ID: 33926688
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics features based on T2-weighted fluid-attenuated inversion recovery MRI predict the expression levels of
    Wang Z; Tang X; Wu J; Zhang Z; He K; Wu D; Chen S; Xiao X
    Future Oncol; 2022 Mar; 18(7):807-819. PubMed ID: 34783576
    [No Abstract]   [Full Text] [Related]  

  • 20. Automatic glioma segmentation based on adaptive superpixel.
    Wu Y; Zhao Z; Wu W; Lin Y; Wang M
    BMC Med Imaging; 2019 Aug; 19(1):73. PubMed ID: 31443642
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.