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 *

214 related articles for article (PubMed ID: 24099977)

  • 1. Automated MRI segmentation for individualized modeling of current flow in the human head.
    Huang Y; Dmochowski JP; Su Y; Datta A; Rorden C; Parra LC
    J Neural Eng; 2013 Dec; 10(6):066004. PubMed ID: 24099977
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An automated method for high-definition transcranial direct current stimulation modeling.
    Huang Y; Su Y; Rorden C; Dmochowski J; Datta A; Parra LC
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5376-9. PubMed ID: 23367144
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Realistic volumetric-approach to simulate transcranial electric stimulation-ROAST-a fully automated open-source pipeline.
    Huang Y; Datta A; Bikson M; Parra LC
    J Neural Eng; 2019 Jul; 16(5):056006. PubMed ID: 31071686
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully automated whole-head segmentation with improved smoothness and continuity, with theory reviewed.
    Huang Y; Parra LC
    PLoS One; 2015; 10(5):e0125477. PubMed ID: 25992793
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
    Nielsen JD; Madsen KH; Puonti O; Siebner HR; Bauer C; Madsen CG; Saturnino GB; Thielscher A
    Neuroimage; 2018 Jul; 174():587-598. PubMed ID: 29518567
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.
    Puonti O; Van Leemput K; Saturnino GB; Siebner HR; Madsen KH; Thielscher A
    Neuroimage; 2020 Oct; 219():117044. PubMed ID: 32534963
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The New York Head-A precise standardized volume conductor model for EEG source localization and tES targeting.
    Huang Y; Parra LC; Haufe S
    Neuroimage; 2016 Oct; 140():150-62. PubMed ID: 26706450
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI.
    Ferradal SL; Eggebrecht AT; Hassanpour M; Snyder AZ; Culver JP
    Neuroimage; 2014 Jan; 85 Pt 1(0 1):117-26. PubMed ID: 23578579
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES.
    Rashed EA; Gomez-Tames J; Hirata A
    Phys Med Biol; 2021 Mar; 66(6):064002. PubMed ID: 33524957
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model.
    Lew S; Wolters CH; Anwander A; Makeig S; MacLeod RS
    Hum Brain Mapp; 2009 Sep; 30(9):2862-78. PubMed ID: 19117275
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Approximate average head models for EEG source imaging.
    Valdés-Hernández PA; von Ellenrieder N; Ojeda-Gonzalez A; Kochen S; Alemán-Gómez Y; Muravchik C; Valdés-Sosa PA
    J Neurosci Methods; 2009 Dec; 185(1):125-32. PubMed ID: 19747944
    [TBL] [Abstract][Full Text] [Related]  

  • 12. T1 magnetic resonance imaging head segmentation for diffuse optical tomography and electroencephalography.
    Perdue KL; Diamond SG
    J Biomed Opt; 2014 Feb; 19(2):026011. PubMed ID: 24531143
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Segmentation of skull and scalp in 3-D human MRI using mathematical morphology.
    Dogdas B; Shattuck DW; Leahy RM
    Hum Brain Mapp; 2005 Dec; 26(4):273-85. PubMed ID: 15966000
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated detection and labeling of high-density EEG electrodes from structural MR images.
    Marino M; Liu Q; Brem S; Wenderoth N; Mantini D
    J Neural Eng; 2016 Oct; 13(5):056003. PubMed ID: 27484621
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.
    Vrooman HA; Cocosco CA; van der Lijn F; Stokking R; Ikram MA; Vernooij MW; Breteler MM; Niessen WJ
    Neuroimage; 2007 Aug; 37(1):71-81. PubMed ID: 17572111
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation of T1 MR scans for reconstruction of resistive head models.
    Heinonen T; Eskola H; Dastidar P; Laarne P; Malmivuo J
    Comput Methods Programs Biomed; 1997 Nov; 54(3):173-81. PubMed ID: 9421663
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE-HD cohort.
    Alexander B; Georgiou-Karistianis N; Beare R; Ahveninen LM; Lorenzetti V; Stout JC; Glikmann-Johnston Y
    Hum Brain Mapp; 2020 May; 41(7):1875-1888. PubMed ID: 32034838
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurate source imaging based on high resolution scalp electroencephalography and individualized finite difference head models in epilepsy pre-surgical workup.
    Feng R; Hu J; Wu J; Lang L; Ma C; Sun B; Gu X; Pan L
    Seizure; 2018 Jul; 59():126-131. PubMed ID: 29843085
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.
    Gi Y; Oh G; Jo Y; Lim H; Ko Y; Hong J; Lee E; Park S; Kwak T; Kim S; Yoon M
    Med Phys; 2024 Mar; 51(3):2230-2238. PubMed ID: 37956307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semi-automated generation of individual computational models of the human head and torso from MR images.
    Kalloch B; Bode J; Kozlov M; Pampel A; Hlawitschka M; Sehm B; Villringer A; Möller HE; Bazin PL
    Magn Reson Med; 2019 Mar; 81(3):2090-2105. PubMed ID: 30230021
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.