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Simon Warfield, PhD
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Simon K.  Warfield, PhD

Department: Radiology
Research Centers: Radiology Research Center
Hospital Title: Director of Radiology Research
Academic Title: Thorne Griscom Professor of Radiology, Harvard Medical School
Research Area: Medical image analysis
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Lab Web Site:  Computational Radiology Laboratory

Research Overview

Simon Warfield's research in the field of medical image analysis has focused on methods for quantitative image analysis through novel segmentation and registration approaches, and in real-time and large data image analysis, enabled by high performance computing technology. Algorithms developed by Dr. Warfield have been applied in several domains, including developing an improved understanding of early brain development, understanding the association between white matter lesions and cognitive dysfunction in multiple sclerosis, and in enhancing navigation and visualization during image guided surgery.

Dr. Warfield founded the Computational Radiology Laboratory (CRL) in 2001. The CRL was formed with the mission of improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. Members of the CRL achieve this by developing novel technologies and computational modeling strategies for understanding and interpreting radiological images. More about Dr. Warfield's research can be found here:

About Simon Warfield

Simon Warfield received his PhD from the School of Computer Science and Engineering of the University of New South Wales, in Sydney, Australia. He completed his post-doctoral training in medical imaging at Harvard Medical School/Brigham and Women's Hospital, Boston, MA.

He is also Director of the Computational Radiology Laboratory situated in the Department of Radiology at Children's Hospital and Site Co-Director for Boston Children's Hospital in the Harvard CTSC Translational Technologies Imaging Consortium.

Key Publications

  • Commowick O and Warfield SK. A continuous STAPLE for scalar, vector and tensor images: an application to DTI analysis. IEEE Trans Med Imaging 2009, in press.
  • Warfield SK, Zou KH, and Wells WM. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging 2004;23(7):903-21.
  • Ferrant M, Nabavi A, Macq B, Black PM, Jolesz FA, Kikinis R, and Warfield SK. Serial registration of intraoperative MR images of the brain. Med Image Anal. 2002;6(4):337-59.
  • Warfield SK, Kaus M, Jolesz FA, Kikinis R. Adaptive, template moderated, spatially varying statistical classification. Med Image Anal. 2000;4(1):43-55.

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