Scholar
Kenji Suzuki
Google Scholar ID: MdNb8Z0AAAAJ
Professor of Biomedical AI, Institute of Integrated Research, Institute of Science Tokyo
Citations & Impact
Citations
6,253
H-index
36
i10-index
108
Publications
20
Co-authors
85
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- October 20, 2025, panel discussion with Prof. Curtis P. Langlotz at Stanford University and Prof. Pranav Rajpurkar at Harvard University on 'Optimizing radiologist-AI collaboration in practice'; October 9, 2025, received JAMIT Encouragement Award; September 30, 2025, recognized as one of the World's Top 2% Scientists by Stanford University; September 25, 2025, gave a talk at KAIST Day for Igniting MICCAI 2025; November 4, 2025, received 2024 MDPI Topic Award.
Research Experience
- Head of the Biomedical Artificial Intelligence Research Unit at the Institute of Integrated Research (IIR), Institute of Science Tokyo; In the area of computer-aided diagnosis, systems learn to detect and diagnose lesions in biomedical images to assist physicians in their decision-making; In the image-analysis area, systems learn to trace the boundary of an organ as determined by an experienced physician; In the image-processing area, systems learn to model the algorithm that separates bones from soft tissue in x-ray projection images.
Background
- Research interests lie in interdisciplinary research in computer engineering and biomedicine, with a focus on machine and data learning in biomedical imaging, computer-aided diagnosis and therapy, and intelligent biomedical image processing and analysis. The long-term goal is to develop computational-intelligence technologies that learn from data and examples, experts' knowledge and skills in understanding images to make smart decisions.
