Dr. Suzuki’s RSNA presentation, entitled “Observer Performance Study: Effect of Computer-Aided Diagnosis (CADx) on the Performance of Radiologists in Distinguishing Neoplastic from Non-Neoplastic Lesions in CT Colonography (CTC)” by Suzuki K., Iinuma G., Miyake M, Shimada N, Hock D, and Dachman A Read more...

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

Dr. Suzuki served as chair of 3rd International Conference on Machine Learning in Medical Imaging (MLMI 2012) in conjunction with MICCAI, Nice, France, has successfully finished. Read more...

Peishan Dai, Ph.D. joined as Visiting Scholar from Central South University, China and Yipeng Liu, MS. joined as International Visiting Student from Harbin Institute of Technology, China. Welcome!

Karen Zhou and Dominic Calabrese joined through NSF REU Program. Welcome!

Guo Cao, Ph Read more...

Dr. Suzuki’s research on pixel-based machine learning in medical images was featured in the article “Imaging Software That Learns By Example” on Science Life. Read more...

Dr. Suzuki serves as an Editorial Board Member of Quantitative Imaging in Medicine and Surgery. Read more...

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...