Associate Professor of Electrical and Computer Engineering
office: Room M-104, Suite 100, Technology Business Center
phone: +1 312.567.5232
fax: +1 312.567.8976
Computational intelligence and machine learning in medical imaging, computer-aided detection and diagnosis, and medical image processing and analysis
- Ph.D. (by Published Work), Information Engineering, Nagoya University, Nagoya, Japan, 2007
- M.S. (Summa Cum Laude), Electrical and Electronic Engineering, Meijo University, Nagoya, Japan, 1993
- B.S. (Magna Cum Laude), Electrical and Electronic Engineering, Meijo University, Nagoya, Japan, 1991
Dr. Suzuki worked in Research and Development Center, Hitachi Medical Co, Japan, from 1993 to 1997. From 1997 to 2001, he worked in Faculty of Information Science and Technology, Aichi Prefectural University, Japan, as a faculty member. In 2001, he joined Department of Radiology, University of Chicago, as Research Associate. He was promoted to Assistant Professor of Radiology, Graduate Program in Medical Physics, and Cancer Research Center in 2006. Since 2014, he has been Associate Professor in Medical Imaging Research Center and Department of Electric and Computer Engineering, Illinois Institute of Technology.
He published more than 230 papers (including 97 peer-reviewed journal papers) and 75 refereed abstracts. His papers were cited more than 5,000 times by other researchers, and he has an h-index of 34. He is inventor on 30 patents (including 11 granted patents), which were licensed to several companies and commercialized. He published 9 books and 19 book chapters, and edited 6 journal special issues. He was awarded/co-awarded 45 grants including NIH R01. He received 33 awards for his research and teaching, including Paul Hodges Award, 3 Certificate of Merit Awards from RSNA, IEEE Outstanding Member Award from IEEE, Cancer Research Foundation Young Investigator Award, Kurt Rossmann Award for Excellence in Teaching from University of Chicago, and IEICE Best Paper Award.
He served as a grant reviewer for funding agencies, including National Science Foundation (NSF), National Institutes of Health (NIH), U.S. Army Medical Research and Materiel Command (USAMRMC), U.S. Department of State, and American Association for the Advancement of Science (AAAS). He served as the Editor-in-Chief/Associate Editor of 34 leading international journals, including Medical Physics, Academic Radiology, and International Journal of Biomedical Imaging. He served as a referee for 70 international journals, an organizer of 18 international conferences, and a program committee member of 120 international conferences. He supervised more than 50 graduate/undergraduate/medical students and 7 postdocs/computer scientists, and accepted 14 visiting professors in his laboratory from foreign countries, supported by grants/scholarships from their governments/institutions. He has been a Senior Member of IEEE since 2004.
Honors and awards
Selected books (from 9)
Suzuki K.: Editor. Computational Intelligence in Biomedical Imaging, Springer (New York, NY), 411pp., 2014. (ISBN 978-1-4614-7244-5)
Suzuki K.: Editor. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis, IGI Global (Hershey, PA), 524 pp., 2012. (ISBN 9781466600591)
Suzuki K., Wang F., Shen D, Yan P.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, 7009, Springer-Verlag (Berlin), 355 pp., 2011. (ISBN 978-3-642-24318-9)
Selected publications (from 230)
Xu J., and Suzuki K.: Max-AUC Feature Selection in Computer-aided Detection of Polyps in CT Colonography. IEEE Journal of Biomedical and Health Informatics 18: 585-593, 2014.
Chen S. and Suzuki K.: Separation of Bones from Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing. IEEE Transactions on Medical Imaging 33: 246-257, 2014.
He L., Chao Y., and Suzuki K.: Configuration-Transition-Based Connected-Component Labeling. IEEE Transactions on Image Processing 23: 943-951, 2014.
Chen S. and Suzuki K.: Computerized Detection of Lung Nodules by Means of “Virtual Dual-Energy” Radiography. IEEE Transactions on Biomedical Engineering 60: 369-378, 2013.
Liao S., Penney B. C., Wroblewski K., Zhang H., Simon C. A., Kampalath R., Shih M., Shimada N., Chen S., Salgia R., Appelbaum D. E., Suzuki K., Chen C., and Pu Y.: Prognostic Value of Metabolic Tumor Burden on 18F-FDG PET in Non-Surgical Patients with Non-Small Cell Lung Cancer. European Journal of Nuclear Medicine and Molecular Imaging 39: 27-38, 2011.
He L., Chao Y., and Suzuki K.: Two efficient label-equivalence-based connected-component labeling algorithms for three-dimensional binary images. IEEE Transactions on Image Processing 52: 1813-1819, 2011.
Suzuki K., Zhang J., and Xu J.: Massive-training artificial neural network coupled with Laplacian-eigenfunction-based dimensionality reduction for computer-aided detection of polyps in CT colonography. IEEE Transactions on Medical Imaging 29: 1907-1917, 2010.
Suzuki K., Kohlbrenner R., Epstein M. L., Obajuluwa A. M., Xu J., and Hori M.: Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms. Medical Physics 37: 2159-2166, 2010.
Suzuki K., Rockey D. C., and Dachman A. H.: CT colonography: Advanced computer-aided detection scheme utilizing MTANNs for detection of “missed” polyps in a multicenter clinical trial. Medical Physics 37: 12-21, 2010.
Suzuki K.: Supervised ‘lesion-enhancement’ filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). Physics in Medicine and Biology 54: S31-S45, 2009.
He L., Chao Y., Suzuki K., and Wu K.: Fast connected-component labeling. Pattern Recognition 42: 1977-1987, 2009.
He L., Chao Y., and Suzuki K.: A run-based two-scan labeling algorithm. IEEE Transactions on Image Processing 17: 749-756, 2008.
Suzuki K., Yoshida H., Nappi J., Armato III S. G., and Dachman A. H.: Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography. Medical Physics 35: 694-703, 2008.
Doshi T., Rusinak D., Halvorsen B., Rockey D. C., Suzuki K., and Dachman A. H.: CT colonography: False-negative interpretations. Radiology 244: 165-173, 2007.
Suzuki K., Abe H., MacMahon H., and Doi K.: Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Transactions on Medical Imaging 25: 406-416, 2006.
Li F., Arimura H., Suzuki K., Shiraishi J., Li Q., Abe H., Engelmann R., Sone S., MacMahon H., and Doi K.: Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology 237: 684-690, 2005.
Suzuki K., Li F., Sone S., and Doi K.: Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Transactions on Medical Imaging 24: 1138-1150, 2005.
Suzuki K.: Determining the receptive field of a neural filter. Journal of Neural Engineering 1: 228-237, 2004.
Suzuki K., Horiba I., Sugie N., and Nanki M.: Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. IEEE Transactions on Medical Imaging 23: 330-339, 2004.
Suzuki K., Horiba I., and Sugie N.: Neural edge enhancer for supervised edge enhancement from noisy images. IEEE Transactions on Pattern Analysis and Machine Intelligence 25: 1582-1596, 2003.
Suzuki K., Armato III S. G., Li F., Sone S., and Doi K.: Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT. Medical Physics 30: 1602-1617, 2003.
Suzuki K., Horiba I., and Sugie N.: Linear-time connected-component labeling based on sequential local operations. Computer Vision and Image Understanding 89: 1-23, 2003.
Suzuki K., Horiba I., and Sugie N.: Efficient approximation of neural filters for removing quantum noise from images. IEEE Transactions on Signal Processing 50: 1787-1799, 2002.