TOP > News > Tianyi Qu（Master’s program completed in 2024 of Suzuki Lab.）et al. received the RSNA Magna Cum Laude Award for Science Posters at RSNA 2024（December 4, 2024）
News
| Prize Winner | Qu Tianyi（Master’s program completed in 2024），Yang Yuqiao（D3），Asst. Prof. Jin Ze，Prof. Kenji Suzuki（Applied Artificial Intelligence Research Core） |
| Conferrer | 110th Scientific Assembly and Annual Meeting of Radiological Society of North America（RSNA 2024） |
| Prize | RSNA Magna Cum Laude Award for Science Posters |
| Title | Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised massive-training artificial neural networks |
| Date | December 4, 2024 |
The poster presentation for Master student’s study from Suzuki Lab received the most prestigious Magna Cum Laude Award at RSNA 2024.
RSNA is a top conference in the clinical field of medical imaging with a very narrow acceptance rate of about 25% and attracts top radiologists and medical imaging researchers from all over the world.
At this year’s RSNA, only 6 presentations received the Magna Cum Laude Awards (0.46% of chances) among 1,312 poster presentations that had passed through that narrow gate.
Prof. Kenji Suzuki（Applied Artificial Intelligence Research Core）
http://www.bmai.iir.titech.ac.jp/
国立学校法人 東京科学大学
科学技術創成研究院 未来産業技術研究所
Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST),
Institute of Innovative Research (IIR),
Tokyo Institute of Technology
MAP
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