Department of Neurosurgery

Suguna Pappu, M.D., Ph.D.

Education and Training

Undergraduate: Miami University (OH), Mathematics

Medicine: Yale University School of Medicine

Graduate School: Massachusetts Institute of Technology: Operations Research

Internship: Yale-New Haven Hospital, New Haven CT

Clinical and Research Interests

Mathematical modeling of neurovascular pathology, medical image analysis

Awards

Phi Beta Kappa

NRSA-NIH Post-doctoral Fellow

Publications

Carlson AP, Pappu S, Keep MF, Turner P. Large cerebellar hemorrhage during trumpet playing: importance of blood pressure elevation during the Valsalva maneuver: Case report. Neurosurgery. 2008 Jun; 62(6): E1377

Suguna Pappu, Alan Dardik, Hemant Tagare, and Richard Gusberg. Beyond Fusiform and Saccular: A Novel Quantitative Tortuosity Index May Help Classify Aneurysm Shape and Predict Aneurysm Rupture Potential, 19 November 2007

Suguna Pappu, David Cheng, Patricia Donovan, Robert Udelsman, All Sestamibi Scans Are Not Created Equally, Arch Surg. 2005 Apr;140(4):383-6.

Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu and Eric Mjolsness, New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence, Pattern Recognition, 1997.

Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic and James S. Duncan, A Robust Point Matching Algorithm for Autoradiograph Alignment, Medical Image Analysis, August 1997.

Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic and James S. Duncan, A Robust Point Matching Algorithm for Autoradiograph Alignment, Visualization in Biomedical Computing (VBC), K. H. Hohne and R. Kikinis editors, pp. 277-286, 1996.

Suguna Pappu, Steven Gold and Anand Rangarajan, A framework for non-rigid matching and correspondence, Advances in Neural Information Processing Systems 8, pp. 795-801, 1996.

Extracurricular

Wu-shu style kung fu, art and spending time with my husband and daughters