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...

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...

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...

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...

Institute of Science Tokyo will be established on October 1, 2024, following the merger between Tokyo Medical and Dental University and Tokyo Institute of Technology. Read more...

A paper by Zhipeng Deng, a Ph.D. student in Suzuki Laboratory, has been published in Journal of Investigative Dermatology (IF: 5.7), a leading international journal of skin research.
Congratulations! Read more...

Professor Kenji Suzuki has been named on the 2023 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 is ranked in both the “si Read more...

Dr. Suzuki Serves as a Session Chair for SPIE Medical Imaging 2024, to be held in San Diego, United States, from February 18-22, 2024.

“session 4: Deep Learning: Transformers” in the Conference 12926 “Image Processing”
“session 6: Deep Learning I” Read more...