Miles N Wernick
Director, Medical Imaging Research Center (MIRC)
Motorola Endowed Chair Professor of Electrical and Computer Engineering
Professor of Biomedical Engineering
office: Room M-101, Suite 100, Technology Business Center
phone: +1 312.567.8818
fax: +1 312.794.1915
Medical imaging, machine learning, crime prediction/predictive policing, image processing, predictive analytics, PET, SPECT, x-ray, functional neuroimaging
- NIH Postdoctoral Fellow, Radiology, University of Chicago, 1991
- Ph.D. Optics, University of Rochester, 1990
- B.A. Physics, Northwestern University, 1983
Dr. Miles N. Wernick is the Motorola Endowed Chair Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Director of IIT’s Medical Imaging Research Center (MIRC). He is a Fellow of the American Institute of Medical and Biological Engineers (AIMBE).
Dr. Wernick has pursued diverse research interests related to medical imaging, image processing, optics, machine learning / predictive analytics, and crime analysis. His current research focuses on image reconstruction and machine learning for various applications, including predictive policing. He has been involved in the hardware and software development of several novel imaging systems, including new forms of phase-sensitive x-ray imaging (DEI/MIR) and multispectral imaging of the eye. Along with his collaborators, Dr. Wernick has developed methods of performing automated image processing, reconstruction and/or analysis for imaging of the breast, heart, brain, prostate, and joints. He and his colleagues have developed new 4D image reconstruction algorithms that promise to dramatically reduce radiation dose in SPECT imaging.
Dr. Wernick is currently serving as technical lead on a research program in “predictive policing” in collaboration with the Chicago Police Department, sponsored by the National Institute of Justice (NIJ). In this program, machine learning, social network analysis, and methods drawn from image processing are being applied to produce forward-looking analysis of crime data to promote data-driven policing.
Dr. Wernick has co-founded two companies, Predictek, Inc., and ADM Diagnostics, LLC which provide image analysis services to the pharmaceutical industry, and which have developed automated systems for diagnosing Alzheimer’s disease and other dementias from brain scans.
Dr. Wernick was co-editor of the book, Emission Tomography: The Fundamentals of PET and SPECT . He was guest editor of a special issue on medical imaging IEEE Signal Processing Magazine, and has served as Associate Editor of the IEEE Transactions on Image Processing, SPIE/IS&T Journal of Electronic Imaging, and Medical Physics. He has been elected to the IEEE BioImaging and Signal Processing Technical Council and the IEEE Nuclear Medical and Imaging Sciences Technical Council, serves on the IEEE Bioimaging and Image Processing Technical Council, and chaired the IEEE Medical Imaging Awards Committee for many years.
Honors and awards
- Fellow, AIMBE (American Institute of Medical and Biological Engineers)
- Article on breast tumor modeling selected as Editor’s Pick in Medical Physics, and highlighted on the cover
- Co-author, Best Student Paper Award, 2014 IEEE International Symposium on Biomedical Imaging
- Sigma Xi Award for Excellence in University Research, 2008
- Co-author, Best Student Paper Award, 2006 IEEE Medical Imaging Conference
- Papers on physics of multiple-image radiography and mass-density imaging in Physics in Medicine and Biology recognized by Institute of Physics (IOP) Select (“selected by the Editors for their novelty, significance and potential impact on future research”)
- British Medical Association, “High Commendation” for the book Emission Tomography: The Fundamentals of PET and SPECT.
Miles N. Wernick and John N. Aarsvold, eds., Emission Tomography: The Engineering and Physics of PET and SPECT, San Diego: Academic Press, 2004, pp. 596.
Paul Kump, David Haro Alonso, Yongyi Yang, Joseph Candella, Jonathan Lewin, and Miles N. Wernick, “Measurement of repeat effects in Chicago’s criminal social network,” Applied Computing and Informatics, in press, 2015.
Luis de Sisternes, Jovan G. Brankov, Adam M. Zysk, Robert A. Schmidt, Robert M. Nishikawa, and Miles N. Wernick, “A computational model to generate three-dimensional breast masses,” Medical Physics, vol 42, pp. 10981118, 2015. [Featured article, journal cover, and “Editor’s Pick”]
Wenyuan Qi, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, and Michael A. King, “Limited-angle effect compensation for respiratory binned cardiac SPECT,” Medical Physics, vol. 43, pp.443, 2015, 2015.
Ana S Lukic, Randolph D Andrews, Boris Marendic, James B Brewer, Robert A Rissman, Lisa Mosconi, Stephen C Strother, Miles N Wernick, William C Mobley, Seth Ness, Mark E Schmidt, Michael S Rafii, for the Down Syndrome Biomarker Initiative and the Alzheimer’s Disease Neuroimaging Initiative, “Differentiating of Down syndrome and Alzheimer’s disease effects with imaging,” Alzheimer’s and Dementia, in press, 2015.
Mingwu Jin, Xiaofeng Niu, Wenyuan Qi, Yongyi Yang, Joyoni Dey, Michael A. King, Seth Dahlberg, and Miles N. Wernick, “4D reconstruction for low-dose cardiac gated SPECT,” Medical Physics, vol. 40, no. 2, 2013.
Grigori Yourganov, Xu Chen, Ana S. Lukic, Cheryl L. Grady, Steven L. Small, Miles N. Wernick, and Stephen C. Strother, “Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data,” Neuroimage, vol. 56 no. 2, pp. 531-543, 2011.
Yusuf Artan, Masoom A. Haider, Deanna L. Langer, Andrew J. Evans, Yongyi Yang, Miles N. Wernick, and Imam Samil Yetik, “Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields,” IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2444-2455, 2010.
Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Grigori Yourganov, and Stephen C. Strother, “Machine learning in medical imaging,” IEEE Signal Processing Magazine, vol. 27, no. 4, pp. 25-38, 2010.
Jovan G. Brankov, Yongyi Yang, Liyang Wei, Issam El-Naqa, and Miles N. Wernick, “Learning a nonlinear channelized observer for image quality assessment,” IEEE Transactions on Medical Imaging, vol. 28, pp. 991-999, 2009.
Gocha Khelashvili, Jovan G. Brankov, Dean Chapman, Mark A. Anastasio, Yongyi Yang, Zhong Zhong, and Miles N. Wernick, “A physical model of multiple image radiography,” Physics in Medicine and Biology, vol. 51, pp. 221-236, 2006. [Recognized by IOP Select]
Miles N. Wernick, Yongyi Yang, Indrasis Mondal, Dean Chapman, Christopher Parham, and Zhong Zhong, “Computation of mass density images from refraction-gradient images,” Physics in Medicine and Biology, vol. 51, pp. 1769-1778, 2006. [Recognized by IOP Select]
Issam El-Naqa, Yongyi Yang, Robert N. Nishikawa, and Miles N. Wernick, “A similarity learning approach to content-based image retrieval: application to digital mammography,” IEEE Transactions on Medical Imaging, vol. 23, pp. 1233-1244, 2004.
Miles N. Wernick, Oliver Wirjadi, Dean Chapman, Zhong Zhong, Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, Oral Oltulu, Mark A. Anastasio, and Carol Muehleman, “Multiple-image radiography,” Physics in Medicine and Biology, vol. 48, pp. 3875-3895, 2003.
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, and Robert M. Nishikawa, “A support vector machine approach for detection of microcalcifications,” IEEE Transactions on Medical Imaging, vol. 21, pp. 1552-1563, 2002.
Miles N. Wernick, E. James Infusino, and Milos Milosevic, “Fast spatio-temporal image reconstruction for dynamic PET,” IEEE Transactions on Medical Imaging, vol. 18, pp. 185-195, 1999.
Miles N. Wernick, “Pattern classification by convex analysis,” Journal of the Optical Society of America A, vol. 8, pp. 1874-1880, 1991.
Miles N. Wernick and G. Michael Morris, “Image classification at low light levels,” Journal of the Optical Society of America A, vol. 3, pp. 2179-2187, 1986.
Miles N. Wernick, Daniel Roberts, Yongyi Yang, and Ana S. Lukic, “Method and apparatus for diagnosing conditions of the eye with infrared light,” U.S. Patent Number 11/999,529, March 29, 2010.
Miles N. Wernick and Yongyi Yang, “Method for detecting a mass density image of an object,” U.S. Patent Number 11/732,343, 2008.
Miles N. Wernick, L. Dean Chapman, Oral Oltulu, and Zhong Zhong, “Imaging method based on attenuation, refraction, and ultra-small-angle scattering of x-rays,” U.S. Patent Number 6,947,52, September 20, 2005.
Miles N. Wernick and Chin-Tu Chen, “Method of recovering tomographic signal elements in a projection profile or image by solving linear equations,” U.S. Patent Number 5,323,007, June 21, 1994.