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...

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...

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

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...

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

Session: Humans and AI 5

He also served as a reviewer for this conference. Read more...

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...

We welcome Huiwen Wei as YSEP student.
She is from Tsinghua University, China, which is one of the partner universities of Tokyo Tech.
She will be in our lab until the end of May, 2025. 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...