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Biomedical Artificial
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2025.05.30

Announcement

NEDO Project has been completed

Our “Explainability of deep learning with modular models” project from New Energy and Industrial Technology Development Organization (NEDO), started July 2020, has been completed at the end of March, 2025.
The entire Suzuki laboratory would like to express our deepest gratitude Read more...

2025.04.04

Announcement

New member has joined our lab

Master course student, Kang Wang has joined our lab. Welcome! Read more...

2025.03.31

Award

Tenma and Taiga have won the outstanding student award

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...

2025.03.31

Announcement

Four students have graduated

Shogo Kodera and Chenggeer Li have graduated from the master’s program in our graduate school. Congratulations!

Jin Takeshita and Tenma Morikawa have graduated from the undergraduate program and advances to the master’s program in our graduate school. Congratulations! Read more...

2025.03.05

Announcement

Dr. Suzuki has served as Session Chair for AAAI-25

Dr. Suzuki has served as a Session Chair for The 39th Annual AAAI Conference on Artificial Intelligence (AAA-25), held in Philadelphia, United States, from February 25 – March 4, 2025.

Session: Humans and AI 5 Read more...

2025.02.21

Announcement

Dr. Suzuki has served as Session Chair for SPIE MI 2025

Dr. Suzuki has served as a Session Chair for SPIE Medical Imaging 2025, held in San Diego, United States, from February 16-20, 2025.

“Session 9: Explainable and Trustworthy AI: Transformers” in the Conference 13406 “Image Processing”
“Session 8: Methods& Read more...

2024.12.18

Presentation

Dr. Suzuki gave a keynote speech at AICCC2024

Dr. Suzuki gave an invited keynote speech at 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC 2024), held in Tokyo, Japan, from December 14-16, 2024. Read more...

2024.12.12

Award

Pengyu & Chavoshian have won the best presentation award

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...