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Diffusion-Based Virtual MR Elastography as a Potential Biomarker for Predicting Recurrence of Hepatocellular Carcinoma

Author:Chen Jiejun Sun Wei Wang Wentao Fu Caixia Rao Shengxiang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:Hepatopancreaticobiliary Malignancies I

Program Number:3999

Room Session:Exhibition Hall (Hall 403)

Institution:MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd. Zhongshan Hospital, Fudan University

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Multiparametric radiomics-based machine learning predicts consensus molecular subtype 4 of colorectal cancer: a multi-center study

Author:Zonglin Liu Meng Runqi Yiqun Sun Li Rong Fu Caixia Tong Tong Shen Dinggang

Session Type:Power Pitch

Session Date:Tuesday, 07 May 2024

Session Name:Pitch: Progress in Body Applications

Program Number:0714

Room Session:Power Pitch Theatre 2

Institution:Fudan University Shanghai Cancer Center ShanghaiTech University Siemens Shenzhen Magnetic Resonance Ltd

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Predicting tumor recurrence of locally advanced rectal cancer after neoadjuvant chemoradiotherapy based on multi-task deep-learning model

Author:Zonglin Liu Meng Runqi Yiqun Sun Li Rong Fu Caixia Tong Tong Shen Dinggang

Session Type:Power Pitch

Session Date:Tuesday, 07 May 2024

Session Name:Pitch: Progress in Body Applications

Program Number:0715

Room Session:Power Pitch Theatre 2

Institution:Fudan University Shanghai Cancer Center ShanghaiTech University Siemens Shenzhen Magnetic Resonance Ltd

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