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Using deep learning to identify LNM and LVSI of endometrial cancer from conventional MRI: a preliminary two-center study

Author:Yida Wang  He Zhang  Xiance Zhao  Guang Yang  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Reproduction & Reproductive Pathologies  

Program Number:0437  

Room Session:718B  

Institution :East China Normal University  Obstetrics and Gynecology Hospital, Fudan University  Philips Healthcare  

A deep learning pipeline using priori knowledge for automatic evaluation of placenta accreta spectrum disorders with MRI

Author:Haijie Wang  Yida Wang  Chenglong Wang  He Zhang  Hao Zhu  Yuanyuan Lu  Yang Song  Guang Yang  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Reproduction & Reproductive Pathologies  

Program Number:0449  

Room Session:718B  

Institution :East China Normal University  Obstetrics and Gynecology Hospital of Fudan University  Shanghai First Maternity and Infant Health Hospital  Siemens Healthcare  

Multi-Task Radiomics Approach for Prediction of IDH Mutation Status and Early Recurrence of Gliomas from Preoperative MRI

Author:Hongxi Yang  Ankang Gao  Yida Wang  Yong Zhang  Jingliang Cheng  Yang Song  Guang Yang  

Session Type:Combined Educational & Scientific Session  

Session Date:Tuesday, 06 June 2023  

Session Name:Artificial Intelligence for Brain Tumors  

Program Number:0524  

Room Session:714A/B  

Institution :East China Normal University  Siemens Healthcare  the first affiliated hospital of zhengzhou university  

Machine learning models using T1-mapping and arterial spin labeling images to identify Alzheimer’s disease and mild cognitive impairment

Author:Shengyong Li  Xiaonan Wang  Yida Wang  Yang Song  Guang Yang  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:New Frontiers in Brain Imaging II  

Program Number:3469  

Room Session:Exhibition Halls D/E  

Institution :East China Normal University  Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine  Siemens Healthcare  Chinese Academy of Medical Sciences