Biography | Publications

Stephen R. Aylward, Ph.D. is the Director of Medical Imaging at Kitware, Inc. He is working in Kitware's branch office in Chapel Hill, North Carolina. Dr. Aylward is also an Associate Editor of IEEE Transactions on Medical Imaging, is a member of the Pattern Recognition Society, serves on the SPIE Medical Imaging: Image Processing program committee, and is the elected president of the Insight Software Consortium - a non-profit agency that promotes the development and distribution of free software for medical image analysis, http://www.insightsoftwareconsortium.org.

Dr. Aylward's research has recently focused on (1) supporting the Insight Toolkit (http://www.itk.org) for medical image analysis; (2) developing model-to-image registration strategies for transcribing pre-operative findings into intra-operative images; (3) segmenting vascular networks from medical images for disease detection, diagnosis, and treatment monitoring; and (4) promoting digital library technologies for medical image archiving and sharing, as demonstrated by the Insight Journal, http://www.insight-journal.org. He is working at Kitware to integrate those and other technologies in clinical products and to lead and support related medical imaging projects within Kitware and in collaboration with other universities and companies. Stephen received a B.S. in computer science in 1988 from Purdue University, an M.S. in artificial intelligence in 1989 from the Georgia Institute of Technology, and a Ph.D. in medical image processing in 1997 from The University of North Carolina at Chapel Hill (UNC). Prior to joining Kitware, Stephen was a tenured Associate Professor of Radiology, an Adjunct Associate Professor of Computer Science and Surgery, and founder and Director of the Computer-Aided Diagnosis and Display Laboratory (http://caddlab.rad.unc.edu) at UNC. The CADDLab operated as the Image Processing Core Facility of UNC's School of Medicine. Its faculty and staff led grants funded by the NIH and foundations and provided image analysis support to a wide range of grants led by basic scientists and clinicians throughout the School of Medicine. Stephen also worked as the Lead Scientist of the Neural Networks Support Laboratory at McDonnell Douglas in St. Louis.

Publications