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Assessment and improvement of the quality of fat saturation in breast MRI using deep-learning with synthetic data

Author:Junghwa Kang  Ga Eun Park  Sung Hun Kim  Yoonho Nam  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 19: Genitourinary & Women's Imaging  

Session Name:Breast  

Program Number:0149  

Room Session:ICC Capital Suite 7 & 12  

Institution:Hankuk University of Foreign Studies  Seoul St. Mary's Hospital  

Clinical validation of ADC thresholds established by the ECOG-ACRIN A6702 trial to reduce unnecessary biopsies in breast MR screening exams

Deep Learning for Triage of Normal Breast MRI Exams to an Abbreviated Interpretation Worklist

Detection of Prostate Cancer using Diffusion-Relaxation Correlation Spectrum Imaging with Support Vector Machine Model – A Feasibility Study

Field-Cycling imaging identifies breast cancer at low magnetic field strengths

High Spatiotemporal Resolution Breast MR Increases Cancer Detection and Reduces Unnecessary Biopsies in Patients with Marked BPE

Silicone Implant and Fibrous Capsule Assessment Based on Water-Fat-Silicone Images from a Chemical Shift Encoding-Based Species Separation

The diagnostic performance of modified BI-RADS using high-resolution diffusion weighted images (HR-DWI), T1WI and T2WI