Scientific Advisory Board

Craig K. Abbey

Craig K. Abbey

Dr. Craig K. Abbey is an applied mathematician who works in the field of medical image quality assessment and evaluation. His research links the statistical properties of noisy images to performance in diagnostic tasks. He has investigated a variety of imaging modalities including SPECT and PET, x-ray fluoroscopy, breast CT, and ultrasound. He has also been active in the development of Ideal Observer models which are of particular use in imaging system design, and for benchmarking the performance of human observers.

He received his PhD in applied mathematics from the University of Arizona in 1998 and was a postdoctoral fellow in medical physics at Cedars-Sinai Medical Center and UCLA from 1998 to 2001. From 2001 to 2004 he was a member of the faculty in biomedical engineering at UC Davis, before moving to his current position in the Dept. of Psychological and Brain Sciences at UC Santa Barbara.

James Duncan

James Duncan

James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering and a Professor of Diagnostic Radiology and Electrical Engineering at Yale University. Professor Duncan received his B.S.E.E. with honors from Lafayette College (1973), his M.S. (1975) from UCLA and Ph.D. (1982) in Electrical Engineering from the University of Southern California.

Professor Duncan has been at Yale University since 1983, and the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University since 2007. He has served as the Acting Chair and is currently Director of Undergraduate Studies for Biomedical Engineering. His research efforts have been in the areas of computer vision, image processing, and medical imaging, with an emphasis on biomedical image analysis. These efforts have included the segmentation of deformable structure from 3D image data, the tracking of non-rigid motion/deformation from spatiotemporal images, and the development of strategies for image-guided intervention/surgery. He has published over 220 peer-reviewed articles in these areas and has been the principal investigator on a number of peer-reviewed grants from both the National Institutes of Health and the National Science Foundation over the past 28 years.

Professor Duncan is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), of the American Institute for Medical and Biological Engineering (AIMBE) and of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. He currently serves as co-Editor-in-Chief of Medical Image Analysis and as an Associate Editor of IEEE Transactions on Medical Imaging. In 2012, he was elected to the Council of Distinguished Investigators, Academy of Radiology Research. In 2014, he was elected to the Connecticut Academy of Science and Engineering.

Jeffrey A. Fessler

Jeffrey A. Fessler

Jeff Fessler received the BSEE degree from Purdue University in 1985, the MSEE degree from Stanford University in 1986, and the M.S. degree in Statistics from Stanford University in 1989. From 1985 to 1988 he was a National Science Foundation Graduate Fellow at Stanford, where he earned a Ph.D. in electrical engineering in 1990. He has worked at the University of Michigan since then. From 1991 to 1992 he was a Department of Energy Alexander Hollaender Post-Doctoral Fellow in the Division of Nuclear Medicine. From 1993 to 1995 he was an Assistant Professor in Nuclear Medicine and the Bioengineering Program. He is now a Professor in the Departments of Electrical Engineering and Computer Science, Radiology, and Biomedical Engineering.

He became a Fellow of the IEEE in 2006, for contributions to the theory and practice of image reconstruction. He received the Francois Erbsmann award for his IPMI93 presentation, and the Edward Hoffman Medical Imaging Scientist Award in 2013. He has served as an associate editor for IEEE Transactions on Medical Imaging, the IEEE Signal Processing Letters, and the IEEE Transactions on Image Processing, and is currently serving as an associate editor for the IEEE Transactions on Computational Imaging. He has chaired the IEEE T-MI Steering Committee and the ISBI Steering Committee. He was co-chair of the 1997 SPIE conference on Image Reconstruction and Restoration, technical program co-chair of the 2002 IEEE International Symposium on Biomedical Imaging (ISBI), and general chair of ISBI 2007. His research interests are in statistical aspects of imaging problems, and he has supervised doctoral research in PET, SPECT, X-ray CT, MRI, and optical imaging problems.

Richard M. Leahy

Richard M. Leahy

Richard Leahy is a Professor of Electrical Engineering, Biomedical Engineering, and Radiology at the University of Southern California and Director of the USC Signal and Image Processing Institute. Dr. Leahy is a Fellow of the IEEE and the recipient of the 2010 Hoffman Medical Imaging Scientist Award from the IEEE Nuclear and Plasma Sciences Society.

He was general conference chair for IEEE ISBI 2004 and Fully3D 2013 and has held editorial positions with IEEE Trans Med Imaging, Phys Med Bio and Neuroimage. He has published more than 200 papers in the field of biomedical signal and image processing.

His research interests lie in the application of signal and image processing to the formation and analysis of biomedical images, with applications in neuroimaging and molecular imaging using PET, MRI and EEG/MEG.

Ramsey D. Badawi

Ramsey D. Badawi

Ramsey Badawi is an Associate Professor of Radiology and of Biomedical Engineering at UC Davis, and is Chief of Nuclear Medicine. His primary research expertise is in PET instrumentation development, data corrections for quantitative PET, and in translational applications of PET technology.