Prof. Suzuki was interviewed and featured in the Forbes JAPAN article, “Small Data AI to Help Diagnose Rare Cancers, Tokyo Tech Professor Talks about Barriers to Entrepreneurship in Academia in Japan.” Prof. Suzuki, who has been involved in startups in the U.S., talks about the differences b Read more...

Dr. Suzuki’s group study at RSNA, entitled “Radiation dose reduction in chest CT at a micro-dose (mD) level by noise simulation and noise-specific anatomic neural network convolution (NNC) deep-learning (DL) with K-means clustering”, was featured in the article “ Read more...

Dr. Suzuki’s presentation at JAMIT 2019, entitled “On the deep learning model and knowledge which does not follow the current trend”, was featured in the article “AI for medical image diagnosis at a high accuracy that was able to be trained with only a small number of cases” in the repo Read more...

Dr. Suzuki’s group study at RSNA, was featured in the article “Deep learning may yield sharply lower dose from DBT” on AuntMinnie.com Read more...

Dr. Suzuki group study at SPIE, was featured in the article “Deep learning may produce sharp reductions in DBT dose” on AuntMinnie.com. 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’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...

Article featuring Dr. Suzuki’s research on machine learning in medical images, “AI to Deliver Tailored Treatment: Digital Healthcare is Coming,” Knowledge & Science section in a newspaper, Joongang Sunday, in Koria. Read more...

Dr. Suzuki’s comments were included in the article “IBM’s Automated Radiologist Can Read Images and Medical Records” in MIT Technology Review.

Dr. Suzuki’s comments were included in the article “With Avicenna, IBM Watson Health interprets radiology images” in HealthCare Busin Read more...