We are pleased to announce we will hold an online Lab Guidance via Zoom at 10:00-12:00, on Thursday, June 8. Anyone interested in our lab’s research and investigation is welcome to join the online session. We will have an introduction of our lab with slides followed by a Q an Read more...

Yuqiao Yang, Songxiao Yang, and our alumni, Maolin Pang’s papers have been accepted for presentation at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023), to be held in Sydney, Australia, July 24-28 2023. Congratulations!

Resear Read more...

Zhipeng’s paper has been accepted for presentation at the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023), to be held in Sydney, Australia, July 24-28 2023. Congratulations!

Research
・Radiation Dose Reduction in Di Read more...

Prof. Suzuki has received the following e-mail from Research.com.

– – – – – – –

Dear Kenji Suzuki,

We’d like to inform you that Research.com, a leading academic platform for researchers, has just released the 2023 Edition of our Ra Read more...

Kumazawa Lab Ph.D. student Wongsakorn Preedanan’s paper, a collaborative research with Suzuki Lab and Tokyo Medical and Dental Univerity, has been accepted for publication in IEEE Access.
Congratulations! Read more...

Zhipeng’s research, entitled “Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Multi-scale-Kernel Massive-Training Artificial Neural Network (MTANN) for Generating Virtual High-Dose Images” was presented at ECR 2023, in Vienna, Austria, March 1-5, 2023. Read more...

Prof. Suzuki is featured in the Tokyo Tech Research Map 2023-2024 as one of the active researchers at Tokyo Tech. Read more...

Dr. Suzuki has been appointed, with concurrence of the Board, to serve as follows, starting on January 1, 2023:
・Member [CADSC] Computer Aided Image Analysis Subcommittee as Consultant
・Member [TG273] Task Group No. 273 – CAD Assessment, Quality Assurance and Training as Con Read more...

Chen presented his research plan, entitled “Combining Deep Features with Radiomics in Prediction of Genetic Assessments and Pathological Responses to Chemotherapy for Breast Cancer from Imaging Biomarkers on Breast MRI” at the research plan presentation in the Department of Information and Co Read more...

Our alumni, Lei Xu’s paper has been accepted for presentation at SPIE International Symposium on Medical Imaging (SPIE MI 2023), to be held in San Diego, CA, February 19-23, 2023. Congratulations! Read more...