杨光课题组2022年第30届国际医学磁共振年会人工智能课题组参会情况
发布人:徐俊成  发布时间:2022-06-01   浏览次数:10

国际医学磁共振学会(ISMRM)成立于1994年,是全球规模最大、最能代表磁共振行业未来发展方向的国际性学术组织。202257-12日在英国伦敦召开了第30届学术年会。实验室医学影像人工智能课题组今年线上参会,与医院合作投稿共被录用24篇,其中我校第一单位录用9篇(其中4篇口头报告),创下课题组历年来参会的最好成绩。课题组张成秀、杨鸿玺、张一鸿、张敬等人,在线做了口头报告。以下是课题组部分会议摘要的标题:

l  杨鸿玺,Deep Learning Based Automated Diagnosis of Epilepsy in Patients with WHO II-IV Grade Cerebral Gliomas from Multiparametric MRI (Oral) #3188

l  张一鸿,Radiomics Analysis of the Prostate Cancer Habitats in Diagnosing Extracapsular Extension on Multi-Parametric MRI (Oral) #3686

l  张成秀,Habitat Analysis of Multi-parametric MRI for Predicting Postoperative Recurrence of Meningioma (Oral Power Pitch) #3744

l  张敬,Combine nnU-Net and radiomics for automated classification of breast lesion using mp-MRI (Oral Power Pitch) #3659

l  王一达,Deep Learning with Anatomical Attention Mechanism for Distinguishing Parkinson’s Disease from Normal Controls in MR imaging #3055

l  王海杰,An automatic pipeline combining deep learning and radiomics to predict placenta accrete spectrum disorders from T2W MR images #3703

l  王海杰,MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: a comparison of effectiveness of multiple MR sequences #3704

l  刘雲,Use delta-radiomics based on T2-TSE-BLADE MRI images to predict histopathological tumor regression grade in Locally Advanced Esophageal Cancer #3195

l  刘雲,Overall survival analysis of esophageal squamous cell carcinoma using MRI-based radiomics features #3193