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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Dong Q, Luo G, Haynor D, et al. (2020) DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation. Journal of Digital Imaging
Brunnquell CL, Hoff MN, Balu N, et al. (2020) Making Magnets More Attractive: Physics and Engineering Contributions to Patient Comfort in MRI. Topics in Magnetic Resonance Imaging : Tmri
Nguyen XV, Oztek MA, Nelakurti DD, et al. (2020) Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality. Topics in Magnetic Resonance Imaging : Tmri
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
Marchelli GLS, Haynor D, Ledoux WR, et al. (2013) A flexible toolkit for rapid GPU-based generation of DRRs for 2D-3D registration Proceedings of Spie. 8669
Robertson D, Pathak SD, Criminisi A, et al. (2012) Comparative analysis of semantic localization accuracies between adult and pediatric DICOM CT images Proceedings of Spie - the International Society For Optical Engineering. 8425
Kang A, Haynor D. (2011) MR angiography of large-vessel intracranial stenosis after cryptococcal meningitis Radiology Case Reports. 6: 528-528
Fassbind MJ, Rohr ES, Hu Y, et al. (2011) Evaluating foot kinematics using magnetic resonance imaging: from maximum plantar flexion, inversion, and internal rotation to maximum dorsiflexion, eversion, and external rotation. Journal of Biomechanical Engineering. 133: 104502
Hu Y, Ledoux WR, Fassbind M, et al. (2011) Multi-rigid image segmentation and registration for the analysis of joint motion from three-dimensional magnetic resonance imaging. Journal of Biomechanical Engineering. 133: 101005
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