BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

270 related articles for article (PubMed ID: 31207930)

  • 1. Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging.
    Shaver MM; Kohanteb PA; Chiou C; Bardis MD; Chantaduly C; Bota D; Filippi CG; Weinberg B; Grinband J; Chow DS; Chang PD
    Cancers (Basel); 2019 Jun; 11(6):. PubMed ID: 31207930
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Clinical Applications of Artificial Intelligence, Machine Learning, and Deep Learning in the Imaging of Gliomas: A Systematic Review.
    Alhasan AS
    Cureus; 2021 Nov; 13(11):e19580. PubMed ID: 34926051
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.
    Nie D; Lu J; Zhang H; Adeli E; Wang J; Yu Z; Liu L; Wang Q; Wu J; Shen D
    Sci Rep; 2019 Jan; 9(1):1103. PubMed ID: 30705340
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Can artificial intelligence overtake human intelligence on the bumpy road towards glioma therapy?
    Daisy PS; Anitha TS
    Med Oncol; 2021 Apr; 38(5):53. PubMed ID: 33811540
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning AI Applications in the Imaging of Glioma.
    Zlochower A; Chow DS; Chang P; Khatri D; Boockvar JA; Filippi CG
    Top Magn Reson Imaging; 2020 Apr; 29(2):115-0. PubMed ID: 32271288
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Current applications of deep-learning in neuro-oncological MRI.
    Zegers CML; Posch J; Traverso A; Eekers D; Postma AA; Backes W; Dekker A; van Elmpt W
    Phys Med; 2021 Mar; 83():161-173. PubMed ID: 33780701
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging.
    Abdel Razek AAK; Alksas A; Shehata M; AbdelKhalek A; Abdel Baky K; El-Baz A; Helmy E
    Insights Imaging; 2021 Oct; 12(1):152. PubMed ID: 34676470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges.
    Xu J; Meng Y; Qiu K; Topatana W; Li S; Wei C; Chen T; Chen M; Ding Z; Niu G
    Front Oncol; 2022; 12():892056. PubMed ID: 35965542
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities.
    Merkaj S; Bahar RC; Zeevi T; Lin M; Ikuta I; Bousabarah K; Cassinelli Petersen GI; Staib L; Payabvash S; Mongan JT; Cha S; Aboian MS
    Cancers (Basel); 2022 May; 14(11):. PubMed ID: 35681603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. State of the Art: Machine Learning Applications in Glioma Imaging.
    Lotan E; Jain R; Razavian N; Fatterpekar GM; Lui YW
    AJR Am J Roentgenol; 2019 Jan; 212(1):26-37. PubMed ID: 30332296
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.
    Ranjith G; Parvathy R; Vikas V; Chandrasekharan K; Nair S
    Neuroradiol J; 2015 Apr; 28(2):106-11. PubMed ID: 25923676
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
    Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma.
    Luo J; Pan M; Mo K; Mao Y; Zou D
    Semin Cancer Biol; 2023 Jun; 91():110-123. PubMed ID: 36907387
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning-Based Radiomics in Neuro-Oncology.
    Ehret F; Kaul D; Clusmann H; Delev D; Kernbach JM
    Acta Neurochir Suppl; 2022; 134():139-151. PubMed ID: 34862538
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.
    Citak-Er F; Firat Z; Kovanlikaya I; Ture U; Ozturk-Isik E
    Comput Biol Med; 2018 Aug; 99():154-160. PubMed ID: 29933126
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Advancements in Oncology with Artificial Intelligence-A Review Article.
    Vobugari N; Raja V; Sethi U; Gandhi K; Raja K; Surani SR
    Cancers (Basel); 2022 Mar; 14(5):. PubMed ID: 35267657
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain Tumor Imaging: Applications of Artificial Intelligence.
    Afridi M; Jain A; Aboian M; Payabvash S
    Semin Ultrasound CT MR; 2022 Apr; 43(2):153-169. PubMed ID: 35339256
    [TBL] [Abstract][Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

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

    [Next]    [New Search]
    of 14.