2025.06.11
Press Coverage
Our research was featured in Eurekalert!
Our research presented at RSNA 2024 and awarded the Cum Laud Award was featured in “Feature & Article” in EurekAlert!
Cancer diagnosis on your laptop? New artificial intelligence model makes it possible! Read more...
2025.02.03
Press Coverage
RSNA award reports were published in the magazine “INNERVISION”
2025.02.03
Press Coverage
RSNA award reports were published in the magazine “Rad Fan”
2022.05.11
Press Coverage
Dr. Suzuki was featured on Forbes JAPAN
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...
2019.11.04
Press Coverage
Our study was featured on AuntMinnie.com
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...
2019.07.29
Press Coverage
Our study was featured on m3.com
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...
2018.10.30
Press Coverage
Our study was featured on AuntMinnie.com
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...
2018.03.14
Press Coverage
Our study was featured on AuntMinnie.com
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...
2018.01.01
Press Coverage
Our study was featured on SBI News – The Member Newsletter of the Society of Breast Imaging
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...
2017.12.13
Press Coverage
Our study was featured on AuntMinnie.com
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...