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Sep. 23 (Fri),
14:10-15:40
Scientific Session (SS 31)
Musculoskeletal
Adv
English
Chair(s)
Chang Ho Kang (Korea)
Grand Ballroom 103, 1F
(Room 3)
AI in musculoskeletal radiology
Joon-Yong Jung (Korea)
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14:10-14:19
Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI
Kun Hee Kim (Korea, Republic of)
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14:19-14:28
Feasibility and clinical usefulness of accelerated deep learning-based MRI for acute painful wrist fracture patients wearing a cast
Seung Hyeon Roh (Korea, Republic of)
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14:28-14:37
Feasibility of deep learning reconstruction for accelerated fat-suppressed TSE sequences in knee MRI: comparison with conventional fat-suppressed TSE sequences
Woo Young Kang (Korea, Republic of)
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14:37-14:46
Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: deep learning model vs. musculoskeletal physicians and radiologists
Chun Su Park (Korea, Republic of)
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14:46-14:55
Noise reduction and image quality improvement in ultra-low-dose whole-body CT scans using deep learning-based CT reconstruction program in patients with multiple myeloma
Ji Seon Oh (Korea, Republic of)
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14:55-15:04
Prediction of progression-free survival in soft tissue sarcoma by radiomics analysis of tumor margin using T2-weighted MRI
Seung Yun Lee (Korea, Republic of)
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15:04-15:13
Prediction of contrast-enhancement in osteolytic bone lesions on non-contrast CT: radiomics-based feasibility study
Hee Rin Lee (Korea, Republic of)
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15:13-15:22
Agreement between deep learning-based fully-automated joint space width measurement and physician measurement in Rosenberg view of knee joint
Ju Hyun Ham (Korea, Republic of)
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15:22-15:31
Automated femorotibial version and torsion measurement using deep neural network on computed tomography
Sheen-Woo Lee (Korea, Republic of)
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15:31-15:40
Lumbar spine CT to MRI synthesis using GAN(Generative Adversarial Network): clinical feasibility test
Sung Hoon Oh (Korea, Republic of)