Journal paper with Kumazawa Lab has been accepted
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 was presented at ECR 2023
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 by Dr. Suzuki at ECR 2023, to be held in Vienna, Read more...
Dr. Suzuki’s paper has been accepted
Dr. Suzuki’s paper, entitled “Deep Residual Massive-Training Artificial Neural Network for Image Denoising,” has been accepted for presentation at 2023 5th International Conference on Image, Video and Signal Processing (IVSP 2023), to be held in Singapore, March 24-26, 2023. Read more...
We had visitors from Tohoku University
9 researchers from Graduate School of Dentistry, Tohoku University, visited our lab before the 13th Innovative Dental-Engineering Alliance (IDEA) at Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), Tokyo Tech.
Dr. Jin gave a brief introduction of our labor Read more...
Tokyo Tech Research Map 2023-2024
Prof. Suzuki was featured in the Tokyo Tech Research Map 2023-2024 as one of the active researchers at Tokyo Tech. Read more...
Dr. Suzuki has received 2023 Committee Appointment Letter from AAPM
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...
Paper has published in Medical Physics
Paper has published in Medical Physics.
Title: AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
DOI: 10.1002/mp.16188 Read more...
Chen has won the best presentation award
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...
New member has joined our lab
New member, Wahyu Rahmaniar has joined our lab as researcher. Welcome!
Dr. Suzuki gives an invited talk at the 63rd Annual Meeting of the Japanese Lung Cancer Society
Dr. Suzuki gives an invited presentation at the symposium of the 63rd Annual Meeting of the Japanese Lung Cancer Society at Marine Messe Fukuoka on December 3, 2022. Read more...