David Haynor, MD, PhD

Neuroradiology

Professor

Biography

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

Awards and Honors

• National Science Foundation Grant, August 08, 2017

Recent Publications (via Semantic Scholar)

A guide to the BRAIN Initiative Cell Census Network data ecosystem
M. Hawrylycz, Maryann E. Martone, G. Ascoli, et al. - Published 2023 - PLOS BIOLOGY

The BRAIN Initiative Cell Census Network Data Ecosystem: A User’s Guide
M. Hawrylycz, M. Martone, P. Hof, et al. - Published 2022 - BIORXIV

Osteoporosis identification among previously undiagnosed individuals with vertebral fractures
L. Gold, R. Cody, W. K. Tan, et al. - Published 2022 - OSTEOPOROSIS INTERNATIONAL

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

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

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

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

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