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The Brain Functional Connectivity can Predict Response to Treatment with Transcutaneous Auricular Vagus Nerve Stimulation in Primary Insomnia

Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

Detection of early metastatic lymph nodes using inflow-based vascular-space-occupancy (iVASO) MR imaging

A machine learning method to identify grade ?/? glioma based on perfusion parameters derived from DCE-MRI and DSC-MRI

A time-related random forest survival model based on MR imaging markers to predict the survival of patients with nasopharyngeal carcinoma

Author:Chao Luo  Haixia Li  Kan Deng  Haojiang Li  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 4: Clinical Diagnosis & Treatment  

Session Name:Brain, Head & Neck Cancer  

Program Number:3138  

Room Session:1  

Institution:Philips Healthcare  Sun Yat-sen University Cancer Center