logo

BMAI

Biomedical Artificial
Intelligence Research Unit

En

Ja

News & Topics

The 40th International Biomedical Engineering Seminar

Date :
2026.06.29
Category :
Event

The 40th International Biomedical Engineering Seminar

Co-organized by Visionary Initiative – VIH1(Total Healthcare Design)

We are pleased to announce that Dr. Nicholas Ayache, a research director at Inria (Institute for Research in Computer Science and Automation), will deliver the 4th Lecture in the BMAI Guest Lecture Series as part of the International Biomedical Engineering Seminar.

Dr. Nicholas Ayache is a leading researcher in the field of medical image AI in France (h-index: 122, citations: 69,000), and has received numerous prestigious awards, including the Microsoft Grand Prize for Research in Europe from the Royal Society and other prestigious societies, making him a truly representative researcher in Europe. The international journal “Medical Image Analysis (Impact factor: 14.0),” which he co-founded, is one of the top journals in this field. He is also a member of the French Academy of Sciences and an honorary member of many academic societies.

This lecture titled “AI, Medical Imaging & Digital Twins for Healthcare” will feature his valuable research findings and insights. This is a valuable opportunity to learn from a world-class researcher without leaving Japan.We encourage everyone to attend – regardless of their academic background (science, engineering, medicine, dentistry) or whether they are faculty or students – and make the most of this experience.

date

Monday, July 6, 2026 14:00 – 15:30 (Opens at 13:30) *Live online streaming available

Venue

Lecture Hall, S8 Bldg., Yokohama Campus, Institute of Science Tokyo

Guest Speaker

Dr. Nicholas Ayache, Research Director, Inria (Institute for Research in Computer Science and Automation), France

Topic

AI, medical imaging & digital twins for healthcare

Language

English(No English to Japanese translations provided)

Participant Limit

Face-to-Face: 100, Online: 100

Abstract

Deep learning algorithms (CNN, VAE, GAN, etc.) have brought about a revolution in the analysis of medical image analysis. These advances can also be used to promote a synthetic and integrative representation of the patient, built from images and other available data. This digital twin can be used for the diagnosis, and then to simulate, optimize and guide the therapy. In this talk, I will illustrate those points with some of our recent work on several medical applications in oncology, neurology, interventional cardiology and robotized surgery.

Registration

For those who would like to attend online, please sign up at the link below by 17:00, Friday, July 3, 2026.
Registration Form

For inquiries

Kenji Suzuki Laboratory, Biomedical AI Research Unit, Institute of Integrated Research
info@bmai.iir.isct.ac.jp