Publications by authors named "Ju-Yeon Han"
Article Synopsis
- A study evaluated an automatic landmark detection model using 1017 lateral whole-spine radiographs collected between January 2020 and December 2021, splitting the data into training (819 images) and testing (198 images) sets, with additional external validation using 690 images from other institutions.
- The model showed the best accuracy in detecting cervical landmarks (error of 1.5-2.4 mm), followed by lumbosacral landmarks (error of 2.1-3.0 mm), while thoracic landmarks had larger errors (2.4-4.3 mm).
- The model's performance was highly reliable, with excellent agreement between the AI and expert measurements, evidenced by an intraclass correlation coefficient above
Quantum dot light-emitting diodes (QLEDs) are promising devices for display applications. Polyethylenedioxythiophene:polystyrene sulfonate (PEDOT:PSS) is a common hole injection layer (HIL) material in optoelectronic devices because of its high conductivity and high work function. Nevertheless, PEDOT:PSS-based QLEDs have a high energy barrier for hole injection, which results in low device efficiency.
View Article and Find Full Text PDFThe synthesis and consolidation of nano-sized W powders are attempted with the combination process of hydrogen reduction of ball-milled WO₃ powder and spark plasma sintering. The reduction behavior of WO₃ is analyzed by temperature-programmed reduction. The reaction peaks for reduction of WO₃ are observed in the temperature range of 590-782 °C.
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