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

Professor


Neuroradiology
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Biography

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

Awards and Honors

Recent Publications (via Semantic Scholar)



Finding atrophy patterns of grey matter through orthonormal non-negative factorization
Wenbo Zhang, Kwun Chuen Gary Chan, D. Shibata, et al. - Published 2021 - MEDICAL IMAGING

Radiogenomic modeling predicts survival-associated prognostic groups in glioblastoma
Nicholas Nuechterlein, B. Li, A. Feroze, et al. - Published 2021 - NEURO-ONCOLOGY ADVANCES

Learning Cortical Parcellations Using Graph Neural Networks
K. Eschenburg, T. Grabowski, D. Haynor - Published 2021 - FRONTIERS IN NEUROSCIENCE

Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality.
X. V. Nguyen, M. A. Oztek, Devi D Nelakurti, et al. - Published 2020 - TOPICS IN MAGNETIC RESONANCE IMAGING : TMRI

Making Magnets More Attractive utions to Patient Comfort in MRI Physics and Engineering Contrib
C. Brunnquell, M. Hoff, N. Balu, et al. - Published 2020

Making Magnets More Attractive: Physics and Engineering Contributions to Patient Comfort in MRI.
C. Brunnquell, M. Hoff, N. Balu, et al. - Published 2020 - TOPICS IN MAGNETIC RESONANCE IMAGING : TMRI

DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation
Qifei Dong, Gang Luo, D. Haynor, et al. - Published 2020 - JOURNAL OF DIGITAL IMAGING

NIMG-46. RADIOGENOMIC FEATURES PREDICT CLINICALLY RELEVANT GENOME-WIDE ALTERATION SIGNATURES IN GLIOBLASTOMA
Nicholas Nuechterlein, B. Li, J. Fink, et al. - Published 2020

Applying Artificial Intelligence to Mitigate Effects of Patient ng Factors on Image Quality Motion or Other Complicati
X. V. Nguyen, M. A. Oztek, Devi D Nelakurti, et al. - Published 2020

National Smoking Rates Correlate Inversely with COVID-19 Mortality
M. Norden, D. Avery, J. Norden, et al. - Published 2020 - MEDRXIV