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Neurite orientation dispersion and density MR imaging: discriminating atypical high-grade glioma from primary central nervous system lymphoma

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

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

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

Neurite orientation dispersion and density imaging-based texture features in differentiating glioblastoma from solitary brain metastasis

Development and Validation of a Radiomics Model in Differentiating Sinonasal Mucosal Melanomas from Sinonasal Lymphomas

Development and Validation of a Radiomics Model in Differentiating Sinonasal Mucosal Melanomas from Sinonasal Lymphomas

Spatially Explicit Analysis of Tumor Hypoxia Heterogeneity from IVIM MRI Predicted Survival of Higher-Grade Glioma

Radiomic signature based on enhanced CT and 3T MRI for survival analysis in patients with esophageal squamous carcinoma

nnFAE: An Extended Module for FeAture Explorer (FAE) for Radiomic Feature Processing

Author:Yang Song  Chengxiu Zhang  Jing Zhang  Shaoyu Wang  Xu Yan  Yefeng Yao  Guang Yang  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Radiomics  

Program Number:2895  

Room Session:Exhibition Halls D/E  

Institution :East China Normal University  Siemens Healthcare  

Differentiation of atypical high-grade glioma from primary central nervous system lymphoma with mean apparent propagator-MRI

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

Histogram Analysis of Magnetic Resonance Diffusion Imaging in Differentiating Glioma Mimicking Encephalitis from Encephalitis

Using machine learning to evaluate values of six diffusion models to predict the efficacy of neoadjuvant chemotherapy for esophageal cancer