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...

Our alumni, Maolin Pang’s paper has been accepted for presentation at The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), known as the top conference in the medical image analysis field, to be held in Vancouver, Canada, October 8-12, 20 Read more...

Songxiao Yang won the outstanding student award in the Department of Information and Communications Engineering in September graduation. Congratulations!

The award is given to students completing their master’s degree and to students who have demonstrated outstanding research. Read more...

A paper by Dr. Rahmaniar, an Assistant Professor (Specially Appointed) in Suzuki Laboratory, has been published in IEEE Transactions on Biomedical Engineering (IF: 4.756), a leading international journal of Biomedical Engineering.
Congratulations! Read more...

Aitolkyn Baigutanova, the AOTULE student in Suzuki Lab, presented her research, entitled “Deep Learning Based Lung Nodule Detection in CT Images” at the 14th Multidisciplinary International Student Workshop (MISW 2023) in Ookayama Campus of Tokyo Tech, on August 3-4 and she has won the best p Read more...

A paper by Tomoyuki Shishido, a doctoral student in Suzuki Laboratory, has been published in Skin Research and Technology (IF: 2.24), a leading international journal of Skin Research.
This paper was completed through collaborative research with Kumazawa Lab.
Congratulations!

To Read more...

45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023) has started in Sydney, Australia.

Presentations list by Suzuki Lab
Tue. July 25th
・Pang M., Jin Z., Qu T., Mahdi F. P., Sasage R., and Suzuki K.: Fun Read more...