Seven papers by Mustain Billah, Hanhong He, Jifeng Zu, Fatma Beltaief, Haitian Zhang (alumni), Shogo Kodera (alumni), and Dichao Liu (Researcher) have been accepted by 111th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2025), known as the top clinical conf 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...

Our research presented by Shogo Kodera at RSNA 2024 and awarded the Cum Laud Award was featured on the Science Tokyo’s website!

Artificial intelligence-aided cancer diagnosis on your laptop? New artificial intelligence model makes Read more...

Our research accepted by IEEE Access with Yuqiao Yang as first author was featured on the Science Tokyo’s website!

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

Dr. Suzuki has been awarded a research grant as a Principal Investigator for a national research project from JST K Program by Japan Science and Technology Agency (JST). 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...