BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 35185092)

  • 1. [Development of the DSA Method for Coronary Angiography Using Deep Learning Techniques].
    Yamamoto M; Okura Y
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2022; 78(2):129-139. PubMed ID: 35185092
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of digital subtraction angiography for coronary artery.
    Yamamoto M; Okura Y; Ishihara M; Kagemoto M; Harada K; Ishida T
    J Digit Imaging; 2009 Jun; 22(3):319-25. PubMed ID: 18351421
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Virtual digital subtraction angiography using multizone patch-based U-Net.
    Kimura R; Teramoto A; Ohno T; Saito K; Fujita H
    Phys Eng Sci Med; 2020 Dec; 43(4):1305-1315. PubMed ID: 33026591
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning-based digital subtraction angiography image generation.
    Gao Y; Song Y; Yin X; Wu W; Zhang L; Chen Y; Shi W
    Int J Comput Assist Radiol Surg; 2019 Oct; 14(10):1775-1784. PubMed ID: 31367806
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Digital Subtraction Angiography Image Features under the Deep Learning Algorithm in Cardiovascular Interventional Treatment and Nursing for Vascular Restenosis.
    Zhao Y; Zeng Q; Li J; Jiang X
    Comput Math Methods Med; 2022; 2022():5876132. PubMed ID: 35082913
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Maskless 2-Dimensional Digital Subtraction Angiography Generation Model for Abdominal Vasculature using Deep Learning.
    Yonezawa H; Ueda D; Yamamoto A; Kageyama K; Walston SL; Nota T; Murai K; Ogawa S; Sohgawa E; Jogo A; Kabata D; Miki Y
    J Vasc Interv Radiol; 2022 Jul; 33(7):845-851.e8. PubMed ID: 35311665
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning Subtraction Angiography: Improved Generalizability with Transfer Learning.
    Crabb BT; Hamrick F; Richards T; Eiswirth P; Noo F; Hsiao A; Fine GC
    J Vasc Interv Radiol; 2023 Mar; 34(3):409-419.e2. PubMed ID: 36529442
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.
    Han D; Liu J; Sun Z; Cui Y; He Y; Yang Z
    Comput Methods Programs Biomed; 2020 Nov; 196():105651. PubMed ID: 32712571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts.
    Ueda D; Katayama Y; Yamamoto A; Ichinose T; Arima H; Watanabe Y; Walston SL; Tatekawa H; Takita H; Honjo T; Shimazaki A; Kabata D; Ichida T; Goto T; Miki Y
    Radiology; 2021 Jun; 299(3):675-681. PubMed ID: 33787336
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [A new method of eliminating motion artifacts in DSA].
    Ren M; Wang Q; Yang X; Zhu M
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Oct; 27(5):1120-7. PubMed ID: 21089683
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative coronary angiography using image recovery techniques for background estimation in unsubtracted images.
    Wong JT; Kamyar F; Molloi S
    Med Phys; 2007 Oct; 34(10):4003-15. PubMed ID: 17985646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Training of a deep learning based digital subtraction angiography method using synthetic data.
    Duan L; Eulig E; Knaup M; Adamus R; Lell M; Kachelrieß M
    Med Phys; 2024 Feb; ():. PubMed ID: 38353632
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nonlinear geometric warping of the mask image: a new method for reducing misregistration artifacts in digital subtraction angiography.
    Hayashi N; Sakai T; Kitagawa M; Inagaki R; Sadato N; Ishii Y; Nishimoto Y; Tanaka M; Fukushima T; Komuro H; Ogura H; Kobayashi H; Kubota T
    Cardiovasc Intervent Radiol; 1998; 21(2):138-41. PubMed ID: 9502681
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Vessel extraction in X-ray angiograms using deep learning.
    Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Ward K; Jafari MH; Felfeliyan B; Nallamothu B; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():643-646. PubMed ID: 28268410
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Initial exploration of coronary stent image subtraction using dual-layer spectral CT.
    Qin L; Gu S; Chen C; Zhang H; Zhu Z; Chen X; Han Q; Yan F; Yang W
    Eur Radiol; 2019 Aug; 29(8):4239-4248. PubMed ID: 30666447
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MR angiography with three-dimensional MR digital subtraction angiography.
    Frayne R; Grist TM; Korosec FR; Willig DS; Swan JS; Turski PA; Mistretta CA
    Top Magn Reson Imaging; 1996 Dec; 8(6):366-88. PubMed ID: 9402678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.
    Meng Y; Du Z; Zhao C; Dong M; Pienta D; Tang J; Zhou W
    Technol Health Care; 2023; 31(6):2303-2317. PubMed ID: 37545276
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system.
    Hariharan SG; Kaethner C; Strobel N; Kowarschik M; DiNitto J; Albarqouni S; Fahrig R; Navab N
    Int J Comput Assist Radiol Surg; 2019 Jul; 14(7):1117-1126. PubMed ID: 30977093
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.
    Gao Z; Wang L; Soroushmehr R; Wood A; Gryak J; Nallamothu B; Najarian K
    BMC Med Imaging; 2022 Jan; 22(1):10. PubMed ID: 35045816
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fully automated intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network.
    Jin H; Geng J; Yin Y; Hu M; Yang G; Xiang S; Zhai X; Ji Z; Fan X; Hu P; He C; Qin L; Zhang H
    J Neurointerv Surg; 2020 Oct; 12(10):1023-1027. PubMed ID: 32471827
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.