Prof. Suzuki participated in GTIE Demo Day 2026, held on June 8, where he presented his research project in the pitch session.
The session featured 23 GAP Fund awardees who had completed the GTIE GAP Fund program by the end of March 2026.
Following the audience vote, Prof. Suzuki̵ Read more...

Assistant Professor (Specially Appointed) Rahmaniar has been elevated to IEEE Senior Member and received a medal from IEEE Japan Council.

Congratulations! Read more...

Prof. Suzuki delivered a pitch at SusHi Tech Tokyo 2026 and received NINEJP Pitch Grand Prize.

Pitch Title: Democratizing Medical AI: Small-Data AI for Diagnosing Rare to Common Diseases on Any Tablet

This pitch session was organized by NINEJP.
NINEJP is an innovation ecosyste Read more...

Javad presented his research plan, entitled “Self-Distilled Annotation-Free Framework for Liver Segmentation in CT Images” at the research plan presentation in the Department of Information and Communication Engineering on June 4, 2025 and he has won the best presentation award. Congratulatio Read more...

Our paper received the Certificate of Merit (Science) at RSNA 2025!

RSNA is a top conference in the clinical field of medical imaging with a very narrow acceptance rate of about 25% and attracts top radiologists and medical imaging researchers from all over the world.
At this year’ Read more...

Our study has received an Encouragement Award.
This study, presented by Dr. Jin at the 44th JAMIT Annual Meeting (JAMIT 2025), was conducted by a master’s student who graduated in September 2024.

Xu Y., Jin Z., Sudo T., Watanabe H., and Suzuki K.: Development of a Radiation Dose Re Read more...

Tenma Morikawa and Taiga Shimano (currently in Fukawa lab) won the Outstanding Student Award in the Department of Information and Communications Engineering in March graduation. Congratulations!
The award is given to students completing their undergraduate’s degree and to students who Read more...

Prof. Suzuki, Editor-in-Chief of AI, with other editors’ team has been selected as the winner of the 2024 MDPI Topic Award.
This award recognizes their outstanding contributions and dedication as the Topic Editors.

Topic Title: Read more...

Pengyu presented his research plan, entitled “Towards Self-Supervised Learning Foundation Framework for Tumor Segmentation in Computed Tomography Images” at the research plan presentation in the Department of Information and Communication Engineering on June 12, 2024 and he has won the best p Read more...

Our two papers referenced below received the most prestigious Magna Cum Laude Award and the prestigious Cum Laude Award at RSNA 2024!

RSNA is a top conference in the clinical field of medical imaging with a very narrow acceptance rate of about 25% and attracts top radiologists and medical Read more...