BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

432 related articles for article (PubMed ID: 33778721)

  • 1. Precision Digital Oncology: Emerging Role of Radiomics-based Biomarkers and Artificial Intelligence for Advanced Imaging and Characterization of Brain Tumors.
    Forghani R
    Radiol Imaging Cancer; 2020 Jul; 2(4):e190047. PubMed ID: 33778721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Emerging Applications of Artificial Intelligence in Neuro-Oncology.
    Rudie JD; Rauschecker AM; Bryan RN; Davatzikos C; Mohan S
    Radiology; 2019 Mar; 290(3):607-618. PubMed ID: 30667332
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nuclear medicine radiomics in precision medicine: why we can't do without artificial intelligence.
    Noortman WA; Vriens D; Grootjans W; Tao Q; de Geus-Oei LF; Van Velden FH
    Q J Nucl Med Mol Imaging; 2020 Sep; 64(3):278-290. PubMed ID: 32397702
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence and radiomics in pediatric molecular imaging.
    Wagner MW; Bilbily A; Beheshti M; Shammas A; Vali R
    Methods; 2021 Apr; 188():37-43. PubMed ID: 32544594
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Image-based biomarkers for solid tumor quantification.
    Savadjiev P; Chong J; Dohan A; Agnus V; Forghani R; Reinhold C; Gallix B
    Eur Radiol; 2019 Oct; 29(10):5431-5440. PubMed ID: 30963275
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine.
    Tunali I; Gillies RJ; Schabath MB
    Cold Spring Harb Perspect Med; 2021 Aug; 11(8):. PubMed ID: 33431509
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics in Oncology: A Practical Guide.
    Shur JD; Doran SJ; Kumar S; Ap Dafydd D; Downey K; O'Connor JPB; Papanikolaou N; Messiou C; Koh DM; Orton MR
    Radiographics; 2021 Oct; 41(6):1717-1732. PubMed ID: 34597235
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Potential and limitations of radiomics in neuro-oncology.
    Taha B; Boley D; Sun J; Chen C
    J Clin Neurosci; 2021 Aug; 90():206-211. PubMed ID: 34275550
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics: an Introductory Guide to What It May Foretell.
    Nougaret S; Tibermacine H; Tardieu M; Sala E
    Curr Oncol Rep; 2019 Jun; 21(8):70. PubMed ID: 31240403
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics: a quantitative imaging biomarker in precision oncology.
    Jha AK; Mithun S; Purandare NC; Kumar R; Rangarajan V; Wee L; Dekker A
    Nucl Med Commun; 2022 May; 43(5):483-493. PubMed ID: 35131965
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective.
    Zhu M; Li S; Kuang Y; Hill VB; Heimberger AB; Zhai L; Zhai S
    Front Oncol; 2022; 12():924245. PubMed ID: 35982952
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
    Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
    J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
    Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
    Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Future artificial intelligence tools and perspectives in medicine.
    Chaddad A; Katib Y; Hassan L
    Curr Opin Urol; 2021 Jul; 31(4):371-377. PubMed ID: 33927099
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence- image learning and its applications in neurooncology: a review.
    Javed M; Bajwa MH; Bakhshi SK
    J Pak Med Assoc; 2024 Apr; 74(4 (Supple-4)):S158-S160. PubMed ID: 38712425
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.
    Kang CY; Duarte SE; Kim HS; Kim E; Park J; Lee AD; Kim Y; Kim L; Cho S; Oh Y; Gim G; Park I; Lee D; Abazeed M; Velichko YS; Chae YK
    Oncologist; 2022 Jun; 27(6):e471-e483. PubMed ID: 35348765
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.
    Liu Z; Wang S; Dong D; Wei J; Fang C; Zhou X; Sun K; Li L; Li B; Wang M; Tian J
    Theranostics; 2019; 9(5):1303-1322. PubMed ID: 30867832
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics in neuro-oncology: Basics, workflow, and applications.
    Lohmann P; Galldiks N; Kocher M; Heinzel A; Filss CP; Stegmayr C; Mottaghy FM; Fink GR; Jon Shah N; Langen KJ
    Methods; 2021 Apr; 188():112-121. PubMed ID: 32522530
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applications of artificial intelligence in neuro-oncology.
    Aneja S; Chang E; Omuro A
    Curr Opin Neurol; 2019 Dec; 32(6):850-856. PubMed ID: 31609739
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.