Yuqiao Yang君、Songxiao Yang君、Maolin Pang君の論文がRSNA 2023にアクセプトされました
Yuqiao Yang君、Songxiao Yang君、卒業生のMaolin Pang君の論文4編が、11月26-30日に米国シカゴで開催される、臨床系医用画像分野のトップカンファレンスである109th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023) にアクセプトされました。
おめでとう！
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November 26, 2023 (Sun) 09:00-
Education Exhibits -
INEE-31
Yuqiao Yang, Ze Jin, and Kenji Suzuki: Federated learning - Game changing AI concept to train AI without sending patient data out from hospitals
- funded by JST-MIRAI
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November 28, 2023 (Tue) 12:15-
Scientific Poster Sessions -
T5A-SPIN-4
Yuqiao Yang, Ze Jin, Fumihiko Nakatani, Mototaka Miyake, and Kenji Suzuki: Development of a small-data deep-learning model based on an MTANN for soft tissue sarcoma diagnosis in MRI
- funded by JST-MIRAI
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November 28, 2023 (Tue) 12:15-
Scientific Poster Sessions -
T5A-SPIN-11
Songxiao Yang, Maodong Xiang, Tianyi Qu, Ze Jin, and Kenji Suzuki: Reconstruction of Fast Acquisition MRI with Under-sampled K-space Data by Using Massive-Training Artificial Neural Networks (MTANNs)
- funded by NEDO
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November 28, 2023 (Tue) 12:15-
Scientific Poster Sessions -
T5A-SPIN-12
Ze Jin, Maolin Pang, Tianyi Qu, Hiroko Oshibe, Ren Sasage, and Kenji Suzuki: Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation
- funded by NEDO