CF-VCENet: Coarse-to-Fine Vascular Connectivity Enhancement Network for Hepatic Vessel Segmentation in MR Images

Habitats based multiparametric magnetic resonance imaging radiomics model for prediction of endometrial cancer molecular subtypes.

Influence of temporal resolution in determining pharmacokinetic parameters from CAIPIRINHA-Dixon-TWIST-VIBE DCE-MRI for breast lesions

MR-to-CT Synthesis in MR-only Radiotherapy Based on Deep Learning

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

Predicting Disease-Free Survival in Rectal Cancer Patients via Radiomics Signatures from Multi-Modality MRI Images: a multi-center study

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

Radiogenomics reveals tumor heterogeneity associated with the response to neoadjuvant chemotherapy in luminal breast cancer

Author:Shiyun Sun  Chao You  Yajia Gu  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:Extending Boundaries of Breast Cancer MRI  

Program Number:0412  

Room Session:Nicoll 3  

Institution:Fudan University Shanghai Cancer Center  

The Value of Magnetic Resonance Imaging Peritumoral Radiomics in Predicting 21-gene Recurrence Score of ER/HER2- Breast Cancer