BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 34688551)

  • 1. A muggles guide to deep learning wizardry.
    Currie G
    Radiography (Lond); 2022 Feb; 28(1):240-248. PubMed ID: 34688551
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning.
    Currie G; Rohren E
    Semin Nucl Med; 2021 Mar; 51(2):102-111. PubMed ID: 33509366
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine.
    Currie GM
    J Nucl Med Technol; 2019 Sep; 47(3):217-222. PubMed ID: 31401616
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.
    Currie G
    J Nucl Med Technol; 2019 Dec; 47(4):273-281. PubMed ID: 31401617
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.
    Manimegalai P; Suresh Kumar R; Valsalan P; Dhanagopal R; Vasanth Raj PT; Christhudass J
    Scanning; 2022; 2022():9640177. PubMed ID: 35924105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers.
    Davis A; Billick K; Horton K; Jankowski M; Knoll P; Marshall JE; Paloma A; Palma R; Adams DB
    J Am Soc Echocardiogr; 2020 Sep; 33(9):1061-1066. PubMed ID: 32536431
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Applications of Artificial Intelligence in Cardiology. The Future is Already Here.
    Dorado-Díaz PI; Sampedro-Gómez J; Vicente-Palacios V; Sánchez PL
    Rev Esp Cardiol (Engl Ed); 2019 Dec; 72(12):1065-1075. PubMed ID: 31611150
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
    Currie G; Hawk KE; Rohren E; Vial A; Klein R
    J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
    [TBL] [Abstract][Full Text] [Related]  

  • 9. AI applications to medical images: From machine learning to deep learning.
    Castiglioni I; Rundo L; Codari M; Di Leo G; Salvatore C; Interlenghi M; Gallivanone F; Cozzi A; D'Amico NC; Sardanelli F
    Phys Med; 2021 Mar; 83():9-24. PubMed ID: 33662856
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The transformational potential of molecular radiomics.
    Currie G; Hawk KE; Rohren E
    J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):77-88. PubMed ID: 36238997
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary.
    Srisuwananukorn A; Salama ME; Pearson AT
    Haematologica; 2023 Aug; 108(8):1993-2010. PubMed ID: 36700396
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Australian perspectives on artificial intelligence in medical imaging.
    Currie G; Nelson T; Hewis J; Chandler A; Spuur K; Nabasenja C; Thomas C; Wheat J
    J Med Radiat Sci; 2022 Sep; 69(3):282-292. PubMed ID: 35429129
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence and medical imaging 2018: French Radiology Community white paper.
    ; ;
    Diagn Interv Imaging; 2018 Nov; 99(11):727-742. PubMed ID: 30470627
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
    Moassefi M; Rouzrokh P; Conte GM; Vahdati S; Fu T; Tahmasebi A; Younis M; Farahani K; Gentili A; Kline T; Kitamura FC; Huo Y; Kuanar S; Younis K; Erickson BJ; Faghani S
    J Digit Imaging; 2023 Oct; 36(5):2306-2312. PubMed ID: 37407841
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning in breast radiology: current progress and future directions.
    Ou WC; Polat D; Dogan BE
    Eur Radiol; 2021 Jul; 31(7):4872-4885. PubMed ID: 33449174
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The present and future of deep learning in radiology.
    Saba L; Biswas M; Kuppili V; Cuadrado Godia E; Suri HS; Edla DR; Omerzu T; Laird JR; Khanna NN; Mavrogeni S; Protogerou A; Sfikakis PP; Viswanathan V; Kitas GD; Nicolaides A; Gupta A; Suri JS
    Eur J Radiol; 2019 May; 114():14-24. PubMed ID: 31005165
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial Intelligence in Nuclear Medicine.
    Nensa F; Demircioglu A; Rischpler C
    J Nucl Med; 2019 Sep; 60(Suppl 2):29S-37S. PubMed ID: 31481587
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence in medical imaging of the liver.
    Zhou LQ; Wang JY; Yu SY; Wu GG; Wei Q; Deng YB; Wu XL; Cui XW; Dietrich CF
    World J Gastroenterol; 2019 Feb; 25(6):672-682. PubMed ID: 30783371
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The overview of the deep learning integrated into the medical imaging of liver: a review.
    Xiang K; Jiang B; Shang D
    Hepatol Int; 2021 Aug; 15(4):868-880. PubMed ID: 34264509
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning for Cardiovascular Imaging: A Review.
    Wehbe RM; Katsaggelos AK; Hammond KJ; Hong H; Ahmad FS; Ouyang D; Shah SJ; McCarthy PM; Thomas JD
    JAMA Cardiol; 2023 Nov; 8(11):1089-1098. PubMed ID: 37728933
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.