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Office
101 Manning Dr
Rm 1107G
Chapel Hill, NC 27514Phone+1 919-966-1072
Education & Training
University of North Carolina HospitalsFellowship, Neuroradiology, 2011 - 2012- University of North Carolina HospitalsResidency, Radiology-Diagnostic, 2007 - 2011
- University of North Carolina HospitalsInternship, Transitional Year, 2006 - 2007
University of North Carolina at Chapel Hill School of MedicineClass of 2006
Certifications & Licensure
NC State Medical License 2006 - 2025- American Board of Radiology Diagnostic Radiology
- American Board of Radiology Neuroradiology
Clinical Trials
- Comparison of Stationary Breast Tomosynthesis and 2-D Digital Mammography in Patients With Known Breast Lesions Start of enrollment: 2013 Jan 01
- Comparison of Stationary Breast Tomosynthesis and 2-D Digital Mammography in Patients With Breast Augmentation Start of enrollment: 2013 Dec 01
- Evaluation of the Lung Nodule Sensitivity of Stationary Chest Tomosynthesis in Patients With Known Lung Nodules Start of enrollment: 2014 Feb 01
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Publications & Presentations
PubMed
- 8 citationsA Novel Porcine Model for the Study of Cerebrospinal Fluid Dynamics: Development and Preliminary Results.David Fleischman, Omkar G. Kaskar, Rayad Bin Shams, Xinxin Zhang, Daniel G. Olson
Frontiers in Neurology. 2019-10-23 - 7 citationsEvaluation of optic canal anatomy and symmetry using CT.Xinxin Zhang, Yueh Z. Lee, Daniel G. Olson, David Fleischman
BMJ Open Ophthalmology. 2019-05-01 - 11 citationsCompressive sampling based interior reconstruction for dynamic carbon nanotube micro-CTHengyong Yu, Guohua Cao, Laurel M. Burk, Yueh Z. Lee, Jianping Lu
Journal of X-Ray Science and Technology. 2009-01-01
Journal Articles
- Initial Clinical Evaluation of Stationary Digital Chest Tomosynthesis in Adult Patients with Cystic FibrosisLynn Ansley Fordham, Jennifer L Goralski, Cassandra Sams, Yueh Z Lee, Elias Taylor Gunnell, European Radiology
Press Mentions
UNC School of Medicine Announces 2020-21 Yang Family Biomedical ScholarsApril 5th, 2021- Kitware and UNC Receive NIH Award to Predict Stroke Outcomes Using 3D Models of Brain Blood VesselsSeptember 29th, 2015
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