BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36285604)

  • 1. Detection of Cerebral Microbleeds in MR Images Using a Single-Stage Triplanar Ensemble Detection Network (TPE-Det).
    Lee H; Kim JH; Lee S; Jung KJ; Kim WR; Noh Y; Kim EY; Kang KM; Sohn CH; Lee DY; Al-Masni MA; Kim DH
    J Magn Reson Imaging; 2023 Jul; 58(1):272-283. PubMed ID: 36285604
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach.
    Al-Masni MA; Kim WR; Kim EY; Noh Y; Kim DH
    Neuroimage Clin; 2020; 28():102464. PubMed ID: 33395960
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection.
    Al-Masni MA; Kim WR; Kim EY; Noh Y; Kim DH
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1055-1058. PubMed ID: 33018167
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated detection of cerebral microbleeds via segmentation in susceptibility-weighted images of patients with traumatic brain injury.
    Koschmieder K; Paul MM; van den Heuvel TLA; van der Eerden AW; van Ginneken B; Manniesing R
    Neuroimage Clin; 2022; 35():103027. PubMed ID: 35597029
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
    Qi Dou ; Hao Chen ; Lequan Yu ; Lei Zhao ; Jing Qin ; Defeng Wang ; Mok VC; Lin Shi ; Pheng-Ann Heng
    IEEE Trans Med Imaging; 2016 May; 35(5):1182-1195. PubMed ID: 26886975
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.
    Liu S; Utriainen D; Chai C; Chen Y; Wang L; Sethi SK; Xia S; Haacke EM
    Neuroimage; 2019 Sep; 198():271-282. PubMed ID: 31121296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI.
    Rashid T; Abdulkadir A; Nasrallah IM; Ware JB; Liu H; Spincemaille P; Romero JR; Bryan RN; Heckbert SR; Habes M
    Sci Rep; 2021 Jul; 11(1):14124. PubMed ID: 34238951
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance.
    Myung MJ; Lee KM; Kim HG; Oh J; Lee JY; Shin I; Kim EJ; Lee JS
    J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105886. PubMed ID: 34175642
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved cerebral microbleeds detection using their magnetic signature on T2*-phase-contrast: A comparison study in a clinical setting.
    Kaaouana T; Bertrand A; Ouamer F; Law-Ye B; Pyatigorskaya N; Bouyahia A; Thiery N; Dufouil C; Delmaire C; Dormont D; de Rochefort L; Chupin M
    Neuroimage Clin; 2017; 15():274-283. PubMed ID: 28560152
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI.
    Genc O; Morrison MA; Villanueva-Meyer JE; Burns B; Hess CP; Banerjee S; Lupo JM
    J Magn Reson Imaging; 2023 Oct; 58(4):1200-1210. PubMed ID: 36733222
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network.
    Suwalska A; Wang Y; Yuan Z; Jiang Y; Zhu D; Chen J; Cui M; Chen X; Suo C; Polanska J
    Comput Biol Med; 2022 Dec; 151(Pt A):106233. PubMed ID: 36370581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Risk factors of radiotherapy-induced cerebral microbleeds and serial analysis of their size compared with white matter changes: A 7T MRI study in 113 adult patients with brain tumors.
    Morrison MA; Hess CP; Clarke JL; Butowski N; Chang SM; Molinaro AM; Lupo JM
    J Magn Reson Imaging; 2019 Sep; 50(3):868-877. PubMed ID: 30663150
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The use of susceptibility-weighted imaging to detect cerebral microbleeds after lacunar infarction.
    Shao L; Wang M; Ge XH; Huang HD; Gao L; Qin JC
    Eur Rev Med Pharmacol Sci; 2017 Jul; 21(13):3105-3112. PubMed ID: 28742195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated detection of cerebral microbleeds in patients with Traumatic Brain Injury.
    van den Heuvel TL; van der Eerden AW; Manniesing R; Ghafoorian M; Tan T; Andriessen TM; Vande Vyvere T; van den Hauwe L; Ter Haar Romeny BM; Goraj BM; Platel B
    Neuroimage Clin; 2016; 12():241-51. PubMed ID: 27489772
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of ESWAN, SWI-SPGR, and 2D T2*-weighted GRE sequence for depicting cerebral microbleeds.
    Guo LF; Wang G; Zhu XY; Liu C; Cui L
    Clin Neuroradiol; 2013 Jun; 23(2):121-7. PubMed ID: 23212660
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of cerebral microbleeds by susceptibility-weighted imaging at 3T in patients with end-stage organ failure.
    Sparacia G; Cannella R; Lo Re V; Gambino A; Mamone G; Miraglia R
    Radiol Med; 2018 Jun; 123(6):441-448. PubMed ID: 29455423
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.
    Chen Y; Villanueva-Meyer JE; Morrison MA; Lupo JM
    J Digit Imaging; 2019 Oct; 32(5):766-772. PubMed ID: 30511280
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images.
    Ateeq T; Faheem ZB; Ghoneimy M; Ali J; Li Y; Baz A
    Biochem Cell Biol; 2023 Dec; 101(6):562-573. PubMed ID: 37639730
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Susceptibility-weighted imaging is more reliable than T2*-weighted gradient-recalled echo MRI for detecting microbleeds.
    Cheng AL; Batool S; McCreary CR; Lauzon ML; Frayne R; Goyal M; Smith EE
    Stroke; 2013 Oct; 44(10):2782-6. PubMed ID: 23920014
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging.
    Fazlollahi A; Meriaudeau F; Giancardo L; Villemagne VL; Rowe CC; Yates P; Salvado O; Bourgeat P;
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 3():269-76. PubMed ID: 26560677
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.