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Jinkyeong Sung

Added Value of Deep Learning–based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study
2021 · Jinkyeong Sung, Sohee Park, et al. · Radiology · 71
Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images
2020 · C.H. Suh, W.H. Shim, et al. · American Journal of Neuroradiology · 65
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Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia
2022 · Leehi Joo, Woo Hyun Shim, et al. · PLoS ONE · 35
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Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels
2023 · Pyeong Hwa Kim, Hee Mang Yoon, et al. · Korean Journal of Radiology · 30
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Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer’s disease using a high-performance interpretable deep learning network
2023 · Ho Young Park, Woo Hyun Shim, et al. · European Radiology · 20
Origin of Satellite Ganglion Cysts with Effusion in the Flexor Hallucis Longus Tendon Sheath around the Hallux
2018 · Jung Woo Lee, Min Wook Joo, et al. · Clinics in Orthopedic Surgery · 19
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Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model
2021 · Kyung-Sik Ahn, Byeonguk Bae, et al. · European Radiology · 17
Fatty rind of intramuscular soft-tissue tumors of the extremity: is it different from the split fat sign?
2017 · Jinkyeong Sung, Jee-Young Kim · Skeletal Radiology · 15
Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method
2022 · Jisun Hwang, Hee Mang Yoon, et al. · Yonsei Medical Journal · 14
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment
2020 · Byeonguk Bae, Jaewon Lee, et al. · Lecture notes in computer science · 8
Subtraction MR Venography Acquired from Time-Resolved Contrast-Enhanced MR Angiography: Comparison with Phase-Contrast MR Venography and Single-Phase Contrast-Enhanced MR Venography
2015 · Jinhee Jang, Bum-Soo Kim, et al. · Korean Journal of Radiology · 6
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Intravascular papillary endothelial hyperplasia: magnetic resonance imaging of finger lesions
2015 · Jinkyeong Sung, Jee-Young Kim, et al. · Skeletal Radiology · 5
A Case-Control Clinical Trial on a Deep Learning-Based Classification System for Diagnosis of Amyloid-Positive Alzheimer’s Disease
2023 · Jong Bin Bae, Subin Lee, et al. · Psychiatry Investigation · 4
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Multicenter, Multinational, and Multivendor Validation of an Artificial Intelligence Application for Acute Cervical Spine Fracture Detection on CT
2026 · Jinkyeong Sung, Peter D. Chang, et al. · Diagnostics · 1
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A case-control clinical trial on the diagnostic performance for Alzheimer’s Disease of a deep learning-based classification system using brain magnetic resonance imaging
2021 · Jong Bin Bae, Subin Lee, et al. · Research Square · 1
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Infrarenal retroperitoneum: Detailed anatomy and various pathologic conditions
2009 · Sung, Jinkyeong · European Society of Radiology
Works count: 16
Citation count: 307
H-index: 9
I10-index: 9
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