TOP > News > Shogo Kodera（M2 of Suzuki Lab.）et al. received the RSNA Magna Cum Laude Award for Science Posters at RSNA 2024（December 4, 2024）
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| Prize Winner | Shogo Kodera（M2 of Suzuki Lab.）, Seyed Mohammad Chavoshian（M1）, Asst. Prof. Jin Ze, Takeyuki Watadani, Osamu Abe, 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 Cum Laude Award for Science Posters |
| Title | Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN) |
| Date | December 4, 2024 |
The poster presentation for Master student’s study from Suzuki Lab received the prestigious 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 19 presentations received the Cum Laude Awards (1.45% of chances) among 1,312 poster presentations that had passed through that narrow gate.
Research Title: Shogo Kodera (M2), Seyed Mohammad Chavoshian (M1), Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki: Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN)
Prof. Kenji Suzuki（Applied Artificial Intelligence Research Core）
http://www.bmai.iir.titech.ac.jp/
kodera_20241204
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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