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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

更新日 :
2023.11.15
カテゴリー :
発表

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。
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発表
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

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

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)

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

Kenji Suzuki Laboratory

Institute of Innovative Research (IIR)
Tokyo Institute of Technology

Biomedical AI Research Unit