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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  

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