BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 36033433)

  • 1. An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics.
    Xu C; Peng Y; Zhu W; Chen Z; Li J; Tan W; Zhang Z; Chen X
    Front Oncol; 2022; 12():969907. PubMed ID: 36033433
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas.
    Wang J; Zheng X; Zhang J; Xue H; Wang L; Jing R; Chen S; Che F; Heng X; Li G; Xue F
    Eur Radiol; 2021 Apr; 31(4):1785-1794. PubMed ID: 33409797
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas.
    Liu Z; Wang Y; Liu X; Du Y; Tang Z; Wang K; Wei J; Dong D; Zang Y; Dai J; Jiang T; Tian J
    Neuroimage Clin; 2018; 19():271-278. PubMed ID: 30035021
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.
    Naser MA; Deen MJ
    Comput Biol Med; 2020 Jun; 121():103758. PubMed ID: 32568668
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma.
    Chen H; Lin F; Zhang J; Lv X; Zhou J; Li ZC; Chen Y
    Front Oncol; 2021; 11():734433. PubMed ID: 34671557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.
    Choi YS; Bae S; Chang JH; Kang SG; Kim SH; Kim J; Rim TH; Choi SH; Jain R; Lee SK
    Neuro Oncol; 2021 Feb; 23(2):304-313. PubMed ID: 32706862
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas.
    Park CJ; Han K; Kim H; Ahn SS; Choi YS; Park YW; Chang JH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Dec; 30(12):6464-6474. PubMed ID: 32740813
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
    Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
    Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.
    Spuhler KD; Ding J; Liu C; Sun J; Serrano-Sosa M; Moriarty M; Huang C
    Magn Reson Med; 2019 Aug; 82(2):786-795. PubMed ID: 30957936
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading.
    Pei L; Jones KA; Shboul ZA; Chen JY; Iftekharuddin KM
    Front Oncol; 2021; 11():668694. PubMed ID: 34277415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fully Automated MR Based Virtual Biopsy of Cerebral Gliomas.
    Haubold J; Hosch R; Parmar V; Glas M; Guberina N; Catalano OA; Pierscianek D; Wrede K; Deuschl C; Forsting M; Nensa F; Flaschel N; Umutlu L
    Cancers (Basel); 2021 Dec; 13(24):. PubMed ID: 34944806
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
    Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
    Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K; Cidan W; Qi Y; Wang X
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma.
    Li Z; Wang Y; Yu J; Guo Y; Cao W
    Sci Rep; 2017 Jul; 7(1):5467. PubMed ID: 28710497
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The combination of radiomics features and VASARI standard to predict glioma grade.
    You W; Mao Y; Jiao X; Wang D; Liu J; Lei P; Liao W
    Front Oncol; 2023; 13():1083216. PubMed ID: 37035137
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.
    Ding J; Zhao R; Qiu Q; Chen J; Duan J; Cao X; Yin Y
    Quant Imaging Med Surg; 2022 Feb; 12(2):1517-1528. PubMed ID: 35111644
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.