Dr. Suzuki’s research on machine learning in medical image analysis was featured in the article “Better Medicine Through Machine Learning” on Communications of the ACM (IF: 4.7): 55, pp. 17-19. Read more...

Dr. Suzuki’s study was featured in the article “Software automates CT liver volume measurements” on AuntMinnie.com. Read more...

Dr. Suzuki served as a chair of 2nd International Workshop on Machine Learning in Medical Imaging (MLMI 2011) in conjunction with MICCAI, Toronto, Canada, has successfully finished. Read more...

Dr. Suzuki received the Kurt Rossmann Award for Excellence in Teaching from the Graduate Program in Medical Physics, Department of Radiology, the University of Chicago. Read more...

Hieu Huynh, Ph.D. joined as Visiting Assistant Professor from Ho-Chi-Minh City University of Industry, Vietnam. Welcome!

Xu Qiao, Ph.D. joined as a Visiting Postdoctoral Fellow from Ritsumeikan University, Japan, Sihai Yang, M.S. joined as an International Visiting Student from Huaqiao Uni Read more...

An NSF REU student, Francis Ferraro, was accepted into Center for Language and Speech Processing at Johns Hopkins University and awarded National Defense Science and Engineering Graduate (NDSEG) Fellowship by Department of Defense and National Science Foundation (NSF) Graduate Research Fellowship Read more...

Dr. Suzuki’s comments and his research were included in the article “A Search Engine for the Human Body” in MIT Technology Review.

Dr. Suzuki’s comments and his research were included in the article “Microsoft develops search engine for the human body” on TechEye. < Read more...

Dr. Suzuki serves as a Deputy Editor of Academic Radiology. Read more...

Francis Ferraro, an NSF REU student, and Dr. Xu were awarded NSF-sponsored travel grants for their presentations at IEEE ISBI. An NSF REU student, Francis Ferraro, and Dr. Xu were awarded NSF-sponsored travel grants for their presentations at IEEE ISBI. Congrats! Read more...

Our RSNA presentation entitled “Observer Performance Study: Effect of Computer-aided Detection (CADe) on the Performance of Expert Radiologists in Detection of “Difficult” Polyps in CT Colonography (CTC) in a Multicenter Clinical Trial” by Suzuki K., Hori M., Iinuma G., Friedman A. C., and Dachma Read more...