Yuqiao Yang, Songxiao Yang, Maolin Pang’s papers have been accepted by RSNA 2023
Four papers by Yuqiao Yang, Songxiao Yang, and our almuni, Maolin Pang have been accepted by 109th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), known as the top clinical conference in medical imaging field, to be held in Chicago, USA, November 26-30, 2023.
Conglaturations!
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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
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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
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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)
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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