第1回日本メディカルAI学会で鈴木教授が講演した「Deep-Learning-driven-AI in Medical Image Processing, Analysis and Diagnosis」の内容が、m3.comの特集記事「医療画像AI市場は5年で500%成長」に掲載されました。 Read more...

RSNAで発表した研究が、AuntMinnie.comの特集記事「Deep learning may yield sharply lower dose from DBT」に掲載されました。 Read more...

SPIEで発表した研究が、AuntMinnie.comの特集記事「Deep learning may produce sharp reductions in DBT dose」に掲載されました。 Read more...

RSNAで発表した「Virtual High-Dose (VHD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Supervised Deep-Learning Image Processing (DLIP)」の研究が、SBI News – The Member Newsletter of the Society of Breast Imagingの特集記事「Highlights from RSNA 2017: Physics and Techno Read more...

RSNAで発表した「Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)」の研究が、AuntMinnie.comの特集記事「Top 5 trends from RSNA 2017 in Chicago」に掲載されました。

RSNAで発表した「Virtual Dual-Energy (VDE) Imaging: Separation of Bones from Soft Tis Read more...

鈴木教授のコメントが、 Lancet Respiratory Medicine（インパクトファクター：30.700）の記事「Deep learning poised to revolutionise diagnostic imaging」に掲載されました。 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 Business News. Read more...

Dr. Suzuki’s study was featured in the article “Adding Structure: How to Boost Reporting Efficiency” on HealthImaging.com. Read more...

Dr. Xu and Dr. Suzuki’s paper was highlighted on the cover page of March issue of IEEE Journal of Biomedical and Health Informatics. Read more...