logo

BMAI

Biomedical Artificial
Intelligence Research Unit

En

Ja

News & Topics

Category

2025.09.03

Announcement

Introduction of international visiting student

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...

2025.08.29

Event

KAIST Day for Igniting MICCAI 2025

Prof. Suzuki will be invited to participate in the “KAIST Day,” a kickoff event for MICCAI 2025. Read more...

2025.08.20

Presentation

Seven papers have been accepted by RSNA 2025

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...

2025.07.01

Announcement

Visitors from Mila – Quebec AI Institute

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...

2025.06.25

Announcement

Chavoshian returned after completing his study abroad program

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...

2025.06.19

Announcement

Journal AI has received its Impact Factor of 5.0

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...

2025.06.18

Announcement

Yuqiao Yang has published an authored paper in IEEE Access

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...

2025.06.18

Project

Prof. Suzuki has been awarded a national research grant from JST

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...