Dr. Suzuki was invited as an artificial intelligence (AI) expert by members of the United States Congress to participate in a roundtable discussing an “AI Bill” (AI Jobs Act of 2018) earlier this year. Dr. Suzuki discussed the impact of AI on and the opportunities for American workforce, busi Read more...

Dr. Suzuki group study at RSNA, entitled “Virtual High-Dose (VHD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Supervised Deep-Learning Image Processing (DLIP)”, was featured in the article “Highlights from RSNA 2017: Physics and Technology” on SB Read more...

Dr. Suzuki’s RSNA presentation, entitled “Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)” was featured in the article “Top 5 trends from RSNA 2017 in Chicago” on AuntMinnie.com.

Dr. Suzuki’s RSNA p Read more...

Dr. Suzuki accepted an invitation to serve as a member of the National Cancer Institute Special Emphasis Panel, Center for Scientific Review, National Institutes of Health (NIH). In this role, Dr. Suzuki will contribute to biomedical research on a national level by reviewing grant applications su Read more...

Dr. Suzuki chaired the 8th International Workshop on Machine Learning in Medical Imaging (MLMI) which is considered as the top conference in the field. The first MLMI workshop was held in Beijing, China, in 2010, in conjunction with the MICCAI conference which is the most prestigious conferences Read more...

Dr. Suzuki has been awarded the Grant-in-Aid for Research Activity Start-up by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. His research is entitled “Radiation dose reduction in CT by improving the image quality of ultra low dose CT images by means of deep Read more...

Dr. Suzuki’s comments were included in the article “Deep learning poised to revolutionise diagnostic imaging” in The Lancet Respiratory Medicine (Impact factor: 30.700): 5 (10), p. 779. Read more...

Dr. Suzuki gave a lecture entitled “Artificial Intelligence in Medical Imaging” at WRHI Lecture 2, on July 12, 2017. Read more...

Dr. Suzuki has joined World Research Hub Initiative (WRHI) at Tokyo Tech as professor (specially appointed). Read more...

Dr. Suzuki was invited as a Guest Editor for a Special Issue of the prestigious journal, Pattern Recognition. This is the official journal of Pattern Recognition Society and the special issue focused on Machine Learning in Medical Imaging. This topic is currently under intense study in the field Read more...