Dr. Christopher Wood
at Mayo Clinic
SPIE Involvement:
Author
Area of Expertise:
Neuroradiology , Congenital anomalies , Skull base lesions , Posterior fossa lesions , Sella/juxtasellar lesions , Epic Radiant
Profile Summary

Dr. Wood is an associate professor of Radiology in the Department of Radiology at the Mayo Clinic in Rochester Minnesota. His subspecialty focus in the Department is Neuroradiology. He is Associate Clinical Practice Chair for Midwest Radiology, chair of the Enterprise Radiology Clinical Practice Committee and chair of the Enterprise Radiology Epic Radiant Operational Oversight Committee. Dr. Wood attended Lewis & Clark College where he graduated in 1982 with a Bachelor of Arts degree with Honors in Chemistry. He received his MD from The Johns Hopkins University School of Medicine in 1986. He completed his medical internship in 1987 at the Good Samaritan Hospital and Medical Center in Portland, Oregon. He completed his radiology residency training at the Johns Hopkins Hospital in 1991. During residency he was able to study at the Oxford University System in Great Britain and the Armed Forces Institute of Pathology in Washington D.C. He has been board certified in Diagnostic Radiology by the American Board of Radiology since 1991. He then completed a fellowship in Neuroradiology at the Mayo Clinic College of Medicine 1992 and has held an American Board of Radiology subspecialty certification in Neuroradiology since 1995.
Publications (1)

SPIE Journal Paper | 16 October 2020 Open Access
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle Singleton, Scott Whitmire, Kamala Clark-Swanson, Sara Ranjbar, Cassandra Rickertsen, Sandra Johnston, Kathleen Egan, Dana Rollison, John Arrington, Karl Krecke, Theodore Passe, Jared Verdoorn, Alex Nagelschneider, Carrie Carr, John Port, Alice Patton, Norbert Campeau, Greta Liebo, Laurence Eckel, Christopher Wood, Christopher Hunt, Prasanna Vibhute, Kent Nelson, Joseph Hoxworth, Ameet Patel, Brian Chong, Jeffrey Ross, Jerrold Boxerman, Michael Vogelbaum, Leland Hu, Ben Glocker, Kristin Swanson
JMI, Vol. 7, Issue 05, 055501, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.055501
KEYWORDS: Image segmentation, Tumors, Brain, Magnetic resonance imaging, Neural networks, Neuroimaging, Cancer, Databases, Data modeling, Visualization

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