These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 38125517)

  • 1. Deep learning-assisted IoMT framework for cerebral microbleed detection.
    Ali Z; Naz S; Yasmin S; Bukhari M; Kim M
    Heliyon; 2023 Dec; 9(12):e22879. PubMed ID: 38125517
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping.
    Xia P; Hui ES; Chua BJ; Huang F; Wang Z; Zhang H; Yu H; Lau KK; Mak HKF; Cao P
    J Magn Reson Imaging; 2024 Sep; 60(3):1165-1175. PubMed ID: 38149750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning.
    Morrison MA; Payabvash S; Chen Y; Avadiappan S; Shah M; Zou X; Hess CP; Lupo JM
    Neuroimage Clin; 2018; 20():498-505. PubMed ID: 30140608
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
    Sundaresan V; Arthofer C; Zamboni G; Murchison AG; Dineen RA; Rothwell PM; Auer DP; Wang C; Miller KL; Tendler BC; Alfaro-Almagro F; Sotiropoulos SN; Sprigg N; Griffanti L; Jenkinson M
    Front Neuroinform; 2023; 17():1204186. PubMed ID: 37492242
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic detection of cerebral microbleeds using susceptibility weighted imaging and artificial intelligence.
    Luo Y; Gao K; Fawaz M; Wu B; Zhong Y; Zhou Y; Haacke EM; Dai Y; Liu S
    Quant Imaging Med Surg; 2024 Mar; 14(3):2640-2654. PubMed ID: 38545040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare.
    Manickam P; Mariappan SA; Murugesan SM; Hansda S; Kaushik A; Shinde R; Thipperudraswamy SP
    Biosensors (Basel); 2022 Jul; 12(8):. PubMed ID: 35892459
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Risk of Symptomatic Intracerebral Hemorrhage After Intravenous Thrombolysis in Patients With Acute Ischemic Stroke and High Cerebral Microbleed Burden: A Meta-analysis.
    Tsivgoulis G; Zand R; Katsanos AH; Turc G; Nolte CH; Jung S; Cordonnier C; Fiebach JB; Scheitz JF; Klinger-Gratz PP; Oppenheim C; Goyal N; Safouris A; Mattle HP; Alexandrov AW; Schellinger PD; Alexandrov AV
    JAMA Neurol; 2016 Jun; 73(6):675-83. PubMed ID: 27088650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An IoMT-Based Melanoma Lesion Segmentation Using Conditional Generative Adversarial Networks.
    Ali Z; Naz S; Zaffar H; Choi J; Kim Y
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050607
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Experience-Driven and Federated Intelligent Threat-Defense Framework in IoMT.
    Tahir B; Jolfaei A; Tariq M
    IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37018715
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diagnosis of cerebral microbleed via VGG and extreme learning machine trained by Gaussian map bat algorithm.
    Lu S; Xia K; Wang SH
    J Ambient Intell Humaniz Comput; 2023 May; 14(5):5395-5406. PubMed ID: 37223108
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative assessment and correlation analysis of cerebral microbleed distribution and leukoaraiosis in stroke outpatients.
    Yang Q; Yang Y; Li C; Li J; Liu X; Wang A; Zhao J; Wang M; Zeng X; Fan D
    Neurol Res; 2015 May; 37(5):403-9. PubMed ID: 25875577
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Construction of a Medical Micro-Object Cascade Network for Automated Segmentation of Cerebral Microbleeds in Susceptibility Weighted Imaging.
    Wei Z; Chen X; Huang J; Wang Z; Yao T; Gao C; Wang H; Li P; Ye W; Li Y; Yao N; Zhang R; Tang N; Wang F; Hu J; Yi D; Wu Y
    Front Bioeng Biotechnol; 2022; 10():937314. PubMed ID: 35935490
    [No Abstract]   [Full Text] [Related]  

  • 18. Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review.
    Irkham I; Ibrahim AU; Nwekwo CW; Al-Turjman F; Hartati YW
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36617023
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Cerebral Microbleed Automatic Detection System Based on the "Deep Learning".
    Fan P; Shan W; Yang H; Zheng Y; Wu Z; Chan SW; Wang Q; Gao P; Liu Y; He K; Sui B
    Front Med (Lausanne); 2022; 9():807443. PubMed ID: 35402427
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.