The 5th Lecture in the BMAI Guest Lecture Series
The Biomedical AI Research Unit is delighted to welcome Dr. Hiroyuki Yoshida, of Harvard Medical School and Massachusetts General Hospital and Professor (Specially Appointed) at Institute of Integrated Research, Science Tokyo, to deliver the 5th Lecture in the BMAI Global Guest Lecture Series as part of the International Biomedical Engineering Seminar.
This lecture is organized by Suzuki Lab and co-hosted by Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST) and Visionary Initiative – VIH1 (Total Healthcare Design).
- Date & Time
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Monday, October 26, 2026, 13:30 - 15:00 (Opens at 13:00) *Live online streaming available
- Venue
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Lecture Hall, S8 Bldg., Yokohama Campus, Institute of Science Tokyo
- Guest Speaker
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Dr.Hiroyuki Yoshida of Harvard Medical School and Massachusetts General Hospital, USA
- Topic
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Seeing, Cleansing, and Detecting: 3D Visualization and AI for Patient-Friendly CT Colonography
- Language
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English（No English to Japanese translations provided）
- Participant Limit
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Face-to-Face: 100, Online: 100
CT colonography (CTC), or virtual colonoscopy, uses CT images to examine the colon for polyps and cancer. This talk explores three computational approaches that support interpretation and make screening less burdensome. First, 3D visualization enables virtual inspection of the colon, with alternative views revealing regions hidden behind folds during a conventional fly-through. Second, electronic cleansing digitally removes residual bowel contents to support laxative-free CTC and reduce the burden of bowel preparation. Third, computer-aided detection helps readers identify polyps, using methods ranging from geometric features to deep learning. The talk emphasizes why each approach was introduced and the limitations it seeks to address. A recurring theme is how to develop effective AI methods for electronic cleansing when paired clinical reference images are unavailable, and for polyp detection when training data are scarce. No prior knowledge of CTC is assumed.
- Registration
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For those who would like to attend online, please sign up at the link below by 17:00, Friday, October 23, 2026.
Online Registration Form
- For inquiries
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Kenji Suzuki Laboratory, Biomedical AI Research Unit, Institute of Integrated Research
sec＠bmai.iir.isct.ac.jp