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Can Deep Learning Reconstruction Allow Rapid Diffusion Weighted Imaging for Rectal Cancer?

A CMR-based multi-modality fusion machine learning approach for predicting left ventricular reverse remodeling in dilated cardiomyopathy

Comparison of single-shot, FOCUS single-shot, MUSE, and FOCUS MUSE diffusion weighted imaging for pulmonary lesions: a pilot study

Deep learning imaging-based reconstruction improved the image quality of synthetic high b-value DWI for prostate lesion detecting

Deep Learning-based Placental MRI Segmentation and Placental Boundary Vessel Recognition

Diagnostic performance of synthetic MRI in distinguishing between benign and malignant pathologies in the oral cavity and oropharynx regions

The impact of deep learning based image reconstruction on IVIM for benign and malignant pulmonary lesion discrimination

The MRI-based radiomics nomogram for predicting massive hemorrhage during dilatation and curettage

Author:Feng Gao  Le Fu  Jiejun Cheng  Jie Shi  Yong Zhang  

Session Type:Oral  

Session Date:Monday, 06 May 2024  

Session Name:Female Pelvis: Obstetrics to Oncology  

Program Number:0173  

Room Session:Room 331-332  

Institution:MR Research, GE Healthcare  Shanghai first maternity and infant hospital  

The prediction value of CMR first-pass perfusion parameters for left ventricular reverse remodeling in dilated cardiomyopathy

Scalable and Transferable U-Net for Accurate Simultaneous 3D MRI Segmentation of Gestational Sac and Decidual Tissue in Cesarean Scar Pregnancy