BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 35591941)

  • 1. Multiparametric Magnetic Resonance Imaging Information Fusion Using Graph Convolutional Network for Glioma Grading.
    Guo P; Li L; Li C; Huang W; Zhao G; Wang S; Wang M; Lin Y
    J Healthc Eng; 2022; 2022():7315665. PubMed ID: 35591941
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
    Pan J; Lin H; Dong Y; Wang Y; Ji Y
    Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks.
    Ge C; Gu IY; Jakola AS; Yang J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5894-5897. PubMed ID: 30441677
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
    Gao Z; Lu Z; Wang J; Ying S; Shi J
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3163-3173. PubMed ID: 35196251
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Noninvasively Evaluating the Grading of Glioma by Multiparametric Magnetic Resonance Imaging.
    Zhang L; Yang LQ; Wen L; Lv SQ; Hu JH; Li QR; Xu JP; Xu RF; Zhang D
    Acad Radiol; 2021 May; 28(5):e137-e146. PubMed ID: 32417035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
    Cheng J; Liu J; Yue H; Bai H; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):1084-1095. PubMed ID: 33104503
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.
    Chen H; Ban D; Qi XS; Pan X; Qiang Y; Yang Q
    Med Phys; 2021 Nov; 48(11):7360-7371. PubMed ID: 34101842
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
    Cheng J; Gao M; Liu J; Yue H; Kuang H; Liu J; Wang J
    IEEE J Biomed Health Inform; 2022 Feb; 26(2):673-684. PubMed ID: 34236971
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs.
    Hsu WW; Guo JM; Pei L; Chiang LA; Li YF; Hsiao JC; Colen R; Liu P
    Sci Rep; 2022 Apr; 12(1):6111. PubMed ID: 35414643
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
    Mzoughi H; Njeh I; Wali A; Slima MB; BenHamida A; Mhiri C; Mahfoudhe KB
    J Digit Imaging; 2020 Aug; 33(4):903-915. PubMed ID: 32440926
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improved Glioma Grading Using Deep Convolutional Neural Networks.
    Gutta S; Acharya J; Shiroishi MS; Hwang D; Nayak KS
    AJNR Am J Neuroradiol; 2021 Jan; 42(2):233-239. PubMed ID: 33303522
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A computer-aided grading of glioma tumor using deep residual networks fusion.
    Tripathi PC; Bag S
    Comput Methods Programs Biomed; 2022 Mar; 215():106597. PubMed ID: 34974232
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [An artificial neural network model for glioma grading using image information].
    Mao Y; Liao W; Cao D; Zhao L; Wu X; Kong L; Zhou G; Zhao Y; Wang D
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2018 Dec; 43(12):1315-1322. PubMed ID: 30643047
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A hybrid feature selection-based approach for brain tumor detection and automatic segmentation on multiparametric magnetic resonance images.
    Chen H; Ban D; Qi XS; Pan X; Qiang Y; Yang Q
    Med Phys; 2021 Nov; 48(11):6614-6626. PubMed ID: 34089524
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hierarchical-order multimodal interaction fusion network for grading gliomas.
    He M; Han K; Zhang Y; Chen W
    Phys Med Biol; 2021 Nov; 66(21):. PubMed ID: 34663762
    [No Abstract]   [Full Text] [Related]  

  • 20. Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework.
    Mehta P; Antonelli M; Ahmed HU; Emberton M; Punwani S; Ourselin S
    Med Image Anal; 2021 Oct; 73():102153. PubMed ID: 34246848
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.