2020.04.01
Announcement
New member has joined our lab
New student, Jun Kanda has joined our lab as master student. Welcome!
2020.03.26
Announcement
Two students have graduated
Taiguang Yuan and Yuchen Wang graduated. Congratulations! Read more...
2020.03.05
Announcement
Dr. Suzuki has been named for the editor-in-chief of AI, an open access journal
Dr. Suzuki has been named for the editor-in-chief AI, international, peer-reviewed, open access journal on Artificial Intelligence (AI), including broad aspects of cognition and reasoning, perception and planning, machine learning, intelligent robotics, applications of AI, etc, published Read more...
2019.12.14
Award
Muneyuki Sato and Maodong Xiang have won the Best Presentation Award
Both Muneyuki Sato and Maodong Xiang have won the Best Presentation Award from Department of Information and Communication Engineering for Thesis Proposal. Congratulations! 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...
2019.10.05
Announcement
Dr. Suzuki serves as Satellite Events Committee Chair of MICCAI 2019
Dr. Suzuki serves as a chair of satellite events committee of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), to be held in Shenzhen, China, October 17-19, 2019. The satellite events includes 37 workshops, 13 tutorials, and 10 challen Read more...
2019.10.01
Announcement
New members have joined our lab
New members have joined our lab: Kyoko Maehata as secretary, and Fumi Kawai as image analysis engineer. Welcome!
2019.08.30
Project
Dr. Ze has been awarded a research grant from MEXT
Dr. Ze 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 “Development of computer-aided diagnosis system for colorectal cancer in CT colonography using deep learning” Read more...
2019.08.02
Presentation
Dr. Suzuki gives a talk at International Promotion Forum for Super Smart Society
Dr. Suzuki gives an invited talk, entitled “Smart Medical Image Processing and Diagnostic Aid with Deep-Learning-Driven-AI” at International Promotion Forum for Super Smart Society on August 2, 2019. 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...