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Highly Resilient 3D Aortic Hemodynamics derived directly from Aortic Geometry using AI

Fully Automated Segmentation of Brain and Scalp Blood Vessels on Multi-Parametric Magnetic Resonance Imaging Using Multi-view Cascaded Network

Denoising 4D-Flow using Self-Supervised Deep Learning and its effect on test-rest reproducibility

Identification of high-risk basilar artery plaque with HR-VWI-based radiomics and machine learning

High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study

Deep learning-based segmentations challenge established link between stroke volume and functional outcome after thrombectomy

Prediction of Ischemic Stroke Based on Carotid Plaque VW-HRMRI Radiomics

Self-supervised Learning with Self-supervised Regularization Reconstruction for Accelerated Single- and Multiband Myocardial Perfusion MRI

A unified deep learning model for simultaneous cardiac cine MRI reconstruction, motion estimation and segmentation.

Abbreviated MRI with Second Shot Arterial Phase for HCC Evaluation: Modified Version of LI-RADS and Recall Reduction Strategy

Author:Jeong Woo Kim  Chang Hee Lee  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:Resonating with Hepatobiliary & Pancreatic Tumors: What's New?  

Program Number:0789  

Room Session:717A/B  

Institution :Korea University Guro Hospital  

Preoperative Prediction of CK19 Expression and Early Recurrence of Hepatocellular Carcinoma using T1 mapping on Gadoxetic acid-enhanced MRI

TPA:Two-stage Progressive Attention diagnosis framework for hepatocellular carcinoma segmentation on Dynamic Contrast Enhanced MRI

Author:Lei Gao  Yuan-Cheng Wang  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:Resonating with Hepatobiliary & Pancreatic Tumors: What's New?  

Program Number:0791  

Room Session:717A/B  

Institution :Zhongda Hospital Southeast University  

Application of 3D Cones Trajectory Acquisition in Hepatobiliary MR Imaging for Detection of Hepatic Lesions

Author:Negaur Iranpour  Vipul Sheth  Ali Syed  Ryan Brunsing  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:Resonating with Hepatobiliary & Pancreatic Tumors: What's New?  

Program Number:0792  

Room Session:717A/B  

Institution :Stanford Medicine  

Corona Enhancement Combined with Microvascular Invasion for Identification / Prognosis of Macrotrabecular-Massive Hepatocellular Carcinoma

Motion Corrected DW-MRI With 3D Slice Level Motion Estimation In Pediatric Liver Tumors

Subclassification of Barcelona Clinic Liver Cancer Stage A HCC using fully automatic 3D segmentation-derived total tumor burden at MRI

Long-term evolution of liver imaging reporting and Data system Version 2018 category 2, 3, and 4 observations on MRI in HBV-related cirrhosis

Incorporating diffusion weighted MRI into a radiomics model improves diagnostic performance in survival prediction in PDAC

Magnetic resonance fingerprinting for objective and contrast-free focal liver lesion characterization: A preliminary study

Utility of Thin-Slice Fat-Suppressed Single-Shot T2-Weighted MRI with Deep Learning Image Reconstruction for Pancreatic Cancer

Prediction of microvascular invasion in solitary hepatocellular carcinoma using bi-regional quantitative dynamic contrast-enhanced MRI

Differentiating Benign from Malignant Gallbladder Wall Thickening in Non-Contrast MRI Imaging: Preliminary Study of a Combined Indicator

Patient-specific computational model of interstitial fluid flow in pancreatic cancer based on DCE- and DW-MRI

Hyperpolarized xenon-129 dissolved MRI based on two-point Dixon method

Hyperpolarized xenon-129 dissolved MRI based on two-point Dixon method

Implementation of dissolved 129Xe lung MRI with 4-echo 3D radial spectroscopic imaging at 3T: comparing with results at 1.5T in healthy volunteers

Implementation of dissolved 129Xe lung MRI with 4-echo 3D radial spectroscopic imaging at 3T: comparing with results at 1.5T in healthy volunteers

Combining radiomic features with background parenchymal enhancement from DCE-MRI data for predicting treatment response in breast cancer

Combining radiomic features with background parenchymal enhancement from DCE-MRI data for predicting treatment response in breast cancer

A Noninvasive Method with Three-Dimensional MR elastography in Assessing of Liver Fibrosis and Inflammation

A Noninvasive Method with Three-Dimensional MR elastography in Assessing of Liver Fibrosis and Inflammation

Dynamic glucose-enhanced imaging of the liver using breath-hold black blood quantitative T1rho MRI