Ge Lei as Ph.D. student and two master course students, Lexu Wu and Jingxuan Du have joined our lab. Welcome! Read more...

Professor Kenji Suzuki has been named on the World’s Top 2% Scientists list, which includes the most-cited scientists across the length of their career. This ranking is compiled by Stanford University, based on data from Elsevier’s Scopus. Prof. Suzuki has been ranked in both the “s Read more...

Fatma Beltaief, Kentaro Someya, Pengyu Dai, Yanhong He, and Jifeng Zu have graduated from the master’s program in our graduate school. Congratulations!

Yanhong He advances to the doctoral program in our graduate school. Congratulations! Read more...

We welcome Lin Fan as international visiting student.
She is from Southwest Jiaotong University, China.
She will be in our lab until the end of August, 2026. Read more...

Dr. Samira Rahimi and Mr. Frédéric Laurin from Mila – Quebec Artificial Intelligence Institute, and Ms. Adélie De Marre from General Delegation of Quebec in Tokyo, visited prof. Suzuki to discuss potential research collaboration. Welcome!

Ms. Adélie De Marre, Dr. Samira Rahimi, P Read more...

Seyed Mohammad Chavoshian returned to Japan after five months of study abroad at ETH Zürich in Switzerland.
Enjoy some photos he shared with us. Read more...

Journal AI for which Prof. Suzuki serves as the editor-in-chief has received its 2024 Impact Factor of 5.0.
The journal has grown 61% since the journal received the first Impact Factor of 3.1 in June 2024.

AI now ranks in Q1 in the category “Computer Science, Interdisciplinary Read more...

A paper by Yuqiao Yang, a doctoral student in Suzuki Laboratory, has been published in IEEE Access.
Conglaturations!

Yang Y., Sato M., Jin Z., and Suzuki K.: Patch-based Deep-learning Model with Limited Training Dataset for Liver Tumor Segmentation in Contrast-enhanced Hepatic Comput Read more...

Our research accepted by IEEE Access with Yuqiao Yang as first author was introduced in EurekAlert!

MHP-Net: A revolutionary AI model for accurate liver tumor segmentation for diagnosis and Read more...

Our research presented by Shogo Kodera at RSNA 2024 and awarded the Cum Laud Award was featured in “Feature & Article” in EurekAlert!

Cancer diagnosis on your laptop? New a Read more...