Radiology Personnel

David Haynor, M.D., Ph.D.



Dr. Haynor is a neuroradiologist with a longstanding interest in image processing and computer applications in radiology.

Awards and Honors

Recent Publications

See all publications on Scopus

Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality
Nguyen X.V., Oztek M.A., Nelakurti D.D., Brunnquell C.L., Mossa-Basha M., Haynor D.R., Prevedello L.M.
Topics in magnetic resonance imaging : TMRI. 2020 Aug:175-180

Making Magnets More Attractive: Physics and Engineering Contributions to Patient Comfort in MRI
Brunnquell C.L., Hoff M.N., Balu N., Nguyen X.V., Oztek M.A., Haynor D.R.
Topics in magnetic resonance imaging : TMRI. 2020 Aug:167-174

DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation
Dong Q., Luo G., Haynor D., O’Reilly M., Linnau K., Yaniv Z., Jarvik J.G., Cross N.
Journal of Digital Imaging. 2020 Jan

Ambient temperature and solar insolation are associated with decreased prevalence of SSRI-treated psychiatric disorders
Wortzel J., Norden J., Turner B., Haynor D., Kent S., Al-Hamdan M., Avery D., Norden M.
Journal of Psychiatric Research. 2019 Mar:57-63

Lumbar spinal stenosis severity by CT or MRI does not predict response to epidural corticosteroid versus lidocaine injections
Perez F., Quinet S., Jarvik J., Nguyen Q., Aghayev E., Jitjai D., Hwang W., Jarvik E., Nedeljkovic S., Avins A., Schwalb J., Diehn F., Standaert C., Nerenz D., Annaswamy T., Bauer Z., Haynor D., Heagerty P., Friedly J.
American Journal of Neuroradiology. 2019 Jan:908-915

The utility of deep learning: Evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies
Ojeda P., Zawaideh M., Mossa-Basha M., Haynor D.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2019 Jan

Model-based tracking of the bones of the foot: A biplane fluoroscopy validation study
Iaquinto J., Kindig M., Haynor D., Vu Q., Pepin N., Tsai R., Sangeorzan B., Ledoux W.
Computers in Biology and Medicine. 2018 Jan:118-127

Deep-learning derived features for lung nodule classification with limited datasets
Thammasorn P., Wu W., Pierce L., Pipavath S., Lampe P., Houghton A., Haynor D., Chaovalitwongse W., Kinahan P.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018 Jan

Automated connectivity-based cortical mapping using registration-constrained classification
Eschenburg K., Haynor D., Grabowski T.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018 Jan

A preliminary study of patient-specific mechanical properties of diabetic and healthy plantar soft tissue from gated magnetic resonance imaging
Williams E., Stebbins M., Cavanagh P., Haynor D., Chu B., Fassbind M., Isvilanonda V., Ledoux W.
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2017 Jul:625-633