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Sep. 3 (Fri),
14:30-16:00
Scientific Session (SS28)
Cardiovascular
Chair(s)
Ki Seok Choo(Korea)
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203, 2F
(Room 8)
3D printing, radiomics and deep learning
Dong Hyun Yang(Korea)
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14:30-14:40
Rehearsal simulation for determining the size of the device for left atrial appendage occlusion using patient-specific 3D printed phantoms based on CT images
Da Yeong Hong (Korea)
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14:40-14:50
Quality reporting of radiomics analysis in cardiac CT studies: evaluate current status and suggest roadmap for practical clinical use
Su Ji Lee (Korea)
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14:50-15:00
Feasibility of atrial fibrillation types determined with MRI radiomics of left atrium in assessment of catheter ablation outcome
Soo Jung Park (Korea)
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15:00-15:10
T1 map-based radiomics score for prediction of left ventricular reverse remodeling in non-ischemic dilated cardiomyopathy patients
Su Yon Chang (Korea)
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15:10-15:20
Fully automatic detection and classification of prosthetic heart valves or annular rings on chest X-ray using deep learning
Kyu Ri Kim (Korea)
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15:20-15:30
Deep learning-based conversion of reconstruction kernel improves the performance of automated coronary artery calcium scoring on non-contrast, non-electrocardiogram-gated chest CT
Young Joo Suh (Korea)
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15:30-15:40
Influence of computed tomography slice thickness on the performance of a deep learning-based, automatic coronary artery calcium scoring software: 1.5-mm and 3.0-mm slice reconstructions
Suh Young Kim (Korea)
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15:40-15:50
Comparison of CTA Image quality between adaptive statistical repeated reconstruction-V (ASIR-V) and deep learning reconstruction
Kun Hee Kim (Korea)
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15:50-16:00
Image quality assessment among deep learning reconstruction with various options and hybrid iterative reconstruction with four different stents
Dae Hyun Hwang (Korea)