David R. Haynor

Affiliations: 
University of Washington, Seattle, Seattle, WA 
Area:
Biomedical Engineering, Computer Science
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"David Haynor"
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Publications

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McInnis CP, Haynor DR, Francis CE. (2016) Horner syndrome in fibromuscular dysplasia without carotid dissection. Canadian Journal of Ophthalmology. Journal Canadien D'Ophtalmologie. 51: e53-5
Williams ED, Stebbins MJ, Cavanagh PR, et al. (2015) The design and validation of a magnetic resonance imaging-compatible device for obtaining mechanical properties of plantar soft tissue via gated acquisition. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine. 229: 732-42
Avery DH, Zarkowski P, Krashin D, et al. (2015) Transcranial magnetic stimulation in the treatment of chronic widespread pain: a randomized controlled study. The Journal of Ect. 31: 57-66
Tungaraza RL, Mehta SH, Haynor DR, et al. (2015) Anatomically Informed Metrics for Connectivity-Based Cortical Parcellation from Diffusion MRI Ieee Journal of Biomedical and Health Informatics. 19: 1375-1383
Glocker B, Zikic D, Haynor DR. (2014) Robust registration of longitudinal spine CT. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 251-8
Pierce LA, Hunter WC, Haynor DR, et al. (2014) Multiplexing strategies for monolithic crystal PET detector modules. Physics in Medicine and Biology. 59: 5347-60
Wajdik C, Claypoole KH, Fawaz W, et al. (2014) No change in neuropsychological functioning after receiving repetitive transcranial magnetic stimulation treatment for major depression Journal of Ect. 30: 320-324
Iaquinto JM, Tsai R, Haynor DR, et al. (2014) Marker-based validation of a biplane fluoroscopy system for quantifying foot kinematics. Medical Engineering & Physics. 36: 391-6
Levitt MR, Morton RP, Haynor DR, et al. (2014) Angiographic perfusion imaging: real-time assessment of endovascular treatment for cerebral vasospasm. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging. 24: 387-92
Glocker B, Zikic D, Konukoglu E, et al. (2013) Vertebrae localization in pathological spine CT via dense classification from sparse annotations. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 262-70
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