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...

Kazuaki has been selected as one of the doctoral students in the program, “Tokyo Tech Program for Development of Next-Generation Front-Runners with Comprehensive Knowledge and Humanity (Tokyo Tech SPRING).” Congrats! Read more...

Prof. Suzuki gives a special lecture at the 66th Annual Meeting of the Japanese Society of Child Neurology, to be held in Nagoya, Japan, from May 30 – June 1, 2024. Read more...

Prof. Suzuki gave an invited keynote speech at Machine Learning Prague 2024, held in Prague, Czech, from April 22-24, 2024.
He also participated in a panel discussion on the final day of the event.

The conference is the biggest European conference about ML, AI and Deep Learning appli Read more...

Three students from the Suzuki Lab won the Outstanding Student Award in the Department of Information and Communications Engineering in March graduation.
The award is given to students completing their master’s and undergraduate’s degree, and to students who have demonstrated ou Read more...

Shogo will be presenting his research at 2024 6th International Conference on Image, Video and Signal Processing (IVSP 2024), to be held in Kawasaki, Japan, form March 14 to 16, 2024.

Dr. Rahmaniar will serve as a session chair for Onsite Session 2：Pattern Recognition and Image Classific 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...

Shogo presented his research plan, entitled “Development of Small-Data AI for Lung Nodule Classification Based on Massive-Training Artificial Neural Network ” at the research plan presentation in the Department of Information and Communication Engineering on November 30, 2023 and he has won t Read more...

Four papers by Yuqiao Yang, Songxiao Yang, and our almuni, Maolin Pang have been accepted by 109th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), known as the top clinical conference in medical imaging field, to be held in Chicago, USA, November 26-30 Read more...