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Automated MR Image Prescription of the Liver using Deep Learning: Development, Evaluation Prospective Implementation

Automated MR Image Prescription of the Liver using Deep Learning: Development, Evaluation Prospective Implementation

Anatomically Accurate In vitro Model of the Liver for 4D Flow MRI Validation

4D Flow MRI Reference Values of the Portal Venous System

Artifact-robust vascular segmentation for 3D phase-contrast MR angiography using a deep learning approach

Author:Daiki Tamada  Thekla Oechtering  Eisuke Takai  Scott Reeder  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:Novel Advances in Segmentation  

Program Number:0806  

Room Session:718B  

Institution :Shiseido Co., Ltd.  University of Wisconsin-Madison  Universität zu Lübeck  

4D flow MRI to evaluate flow and future liver remnant growth after portal vein embolization

Abbreviated Three Minute 4D Flow MRI of the Portal Circulation: Prospective Evaluation in Obese Subjects

Abbreviated Three Minute 4D Flow MRI of the Portal Circulation: Prospective Evaluation in Obese Subjects

Dependence of PDFF Measurement Accuracy on Location, Resolution, and Field Strength a Phantom Experiment

In Vivo Evaluation of a Novel Deep Learning-based MR Image Reconstruction for Liver Fat Quantification

Denoising Vastly Undersampled Radial Portal Venous 4D Flow Data via Deep Learning