Korean Society of Design Science

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Title DOI
https://doi.org/10.3390/su10092981 Critical Success Factors of a Design Startup Business
https://doi.org/10.3390/joitmc5040078 Problem-Solving Design-Platform Model Based on the Methodological Distinctiveness of Service Design
https://doi.org/10.1594/esti2012/e-0008 18F-FDG PET Finding of Pulmonary Actinomycosis
https://doi.org/10.1594/ecr2013//c-0348 A Study on the Usefulness of Dunn View in Measuring Alpha Angle Used in the Diagnosis of Cam Type Femoro Acetabular Impingement Syndrome
https://doi.org/10.1594/ecr2012/c-0913 Usefulness of epicondylar view for assessment of twist angle in total knee arthroplasty
https://doi.org/10.1594/ecr2014/c-1414 Diagnostic performance of US re-evaluation for patients with equivocal CT findings of acute appendicitis; comparison with CT re-ssessment
https://doi.org/10.1594/esti2012/e-0060 Esophageal Cancer Staging Essentials: The New TNM Staging System (7th edition) and Clinicoradiologic Implications
https://doi.org/10.1594/ecr2014/c-2191 Survival results after resection of hepatocellular carcinoma: correlation with preoperatively estimated liver function using gadoxetic acid-enhanced MR imaging
https://doi.org/10.1594/ecr2011/c-0179 Optimization of exposure conditions in a digital mammography system based on an amorphous-selenium(a-Se)
https://doi.org/10.1594/ecr2017/c-0623 A Randomized Controlled Study to Compare Image Quality between Fenestrated and Non-Fenestrated Intravenous Catheters for Cardiac MDCT
https://doi.org/10.1594/ecr2011/c-0159 The Usefulness of Auto Exposure Control mode in Digital Flat-Panel System for Reduction of Dose Area Product : Phantom Study of the Lumbar Spine
https://doi.org/10.1158/1538-7445.am2025-3077 Abstract 3077: Pharmacological inhibition of NUAK1 and NUAK2 synergizes with chemotherapy in pancreatic cancer models by abrogating drug resistance and suppressing fibrosis
https://doi.org/10.1007/s11227-025-07341-4 Multi-purpose technology commercialization recommender system with large-scale Korean language model
https://doi.org/10.1016/j.neucom.2025.131103 Deep-DFVAR: Dynamic factor vector autoregression with deep learning for regional house price index forecasting