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Free-breathing Simultaneous T1, T2, and T2* Mapping of the Whole-Liver with Multi-Inversion Spin and Gradient Echo in Under a Minute

A transformer-based framework for liver stiffness classification using multi-modality body MRI in children and adults

A novel deep multimodal contrastive network for early prediction of cognitive deficits using multimodal MRI and clinical data

Author:Zhiyuan Li  Hailong Li  Nehal Parikh  Jonathan Dillman  Anca Ralescu  Lili He  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI New Ideas  

Program Number:0986  

Room Session:701B  

Institution :Cincinnati Children's Hospital Medical Center  University of Cincinnati  

Evaluation of Confounding Influence of Fat on Hepatic Quantitative Parametric Mapping

Stratification of Liver Histologic Fibrosis using Machine Learning on MRI Radiomic Data and Clinical Features

Impact of Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features

Simultaneous Liver and Spleen Segmentation using U-Net Transformer Model on T1-weighted and T2-weighted MRI Data