Seungjin Yoo
Hanyang University · 医学
研究室紹介
Professor Seungjin Yoo's research lab specializes in advanced materials and energy-efficient technologies, with a focus on developing novel electron transport materials for organic optoelectronic devices, such as phosphorescent OLEDs. The lab also explores low-power electronics, particularly using amorphous oxide semiconductors like a-IGZO thin-film transistors for next-generation displays. Additionally, the lab investigates intelligent medical imaging solutions, including deep learning-based analysis of chest CT scans and elastography for musculoskeletal diagnostics. A key theme across the research is the integration of smart materials, energy efficiency, and AI-driven diagnostics to address challenges in healthcare and sustainable electronics.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15A highly efficient new benzoimidazole phosphine oxide based electron transporting material, bis(1-phenyl-1H-benzo[d]imidazole)phenylphosphine oxide (BIPO), was designed, synthesized by condensation, nucleophilic substitution and oxidation reactions, and confirmed using various spectroscopic studies. It shows a thermal stability (ΔT5%) of 451 °C with a glass transition temperature of 129 °C from the thermogravimetric analysis and differential scanning calorimetry studies. BIPO used as an efficien
The deep neural network achieved excellent performance in automatically delineating the boundaries of lung parenchyma with extensive pathological conditions on non-contrast chest CT images.
A new low-power scan driver using amorphous In-Ga-Zn-O (a-IGZO) thin-film transistor (TFT) is proposed. The proposed scan driver employs only one-clock signal and connects power supply voltage to the drain node of pull-up TFTs in the output stage to reduce the power consumption. The measured power consumption of the proposed scan driver of ten stages is 265 μW at an output voltage of 20 V and a clock frequency of 46.1 kHz, which is the driving condition of the extended graphics array (1024 × 768
<div class="htmlview paragraph">In this paper, a prototype hybrid excavator that incorporates two electric motors and an ultra-capacitor module in a commercial diesel engine powered hydraulic excavator is presented. The features of the developed hybrid excavator include (1) electric propulsion of the swing system, (2) electric power assistance for the diesel engine and (3) energy regeneration using an ultra-capacitor module. By designing a suitable swing control and power management algori
Elasticity values were significantly higher in torn SSTs in patients with chronic shoulder pain that had persisted for more than 1 year. Further studies with larger samples seem warranted to determine whether elasticity values measured by SWE can be used preoperatively as a surrogate marker of the chronicity of a rotator cuff tendon tear.
PURPOSE: To prospectively evaluate whether Lung-RADS classification and volumetric nodule assessment were feasible with ultralow-dose (ULD) chest CT scans with deep learning image reconstruction (DLIR). METHODS: The institutional review board approved this prospective study. This study included 40 patients (mean age, 66±12 years; 21 women). Participants sequentially underwent LDCT and ULDCT (CTDIvol, 0.96±0.15 mGy and 0.12±0.01 mGy) scans reconstructed with the adaptive statistical iterative rec
The hydraulic solenoid valve is an essential electromechanical component used in various industries to control the flow rate, pressure, and direction of hydraulic fluid. However, these valves can fail due to factors like electrical issues, mechanical wear, contamination, seal failure, or improper assembly; these failures can lead to system downtime and safety risks. To address hydraulic solenoid valve failure, and its related impacts, this study aimed to develop a nondestructive diagnostic techn
In this paper we address the optimal design of a multi-degree-of-freedom hydraulically actuated excavator for reducing vibration and improving dynamic bandwidth. We specifically consider the problem of maximizing the minimum fundamental frequency of a hydraulic excavator with respect to various actuator and structural design parameters, i.e. the piston areas of the hydraulic cylinders, and the masses and inertias of the mechanical links. An analytic gradient-based optimization algorithm, togethe
Sirolimus is a potent new immunosuppressive agent that has been shown to reduce the incidence of acute rejection episodes among renal transplant recipients as well as provide a unique approach to optimize treatment outcomes in difficult transplant situations. Owing to its properties as a critical-dose drug, therapeutic concentration monitoring of sirolimus readily compensates for intra- and interpatient variability and drug interactions with a variety of other agents such as ciclosporin. This re
In order to verify the reliability of drive components for industrial robots, component-level life tests must be accompanied by a system-level life test using actual robots in which predefined robot motions are repeated throughout the test. To properly verify the durability of drive components through a system-level life test, it is important to design test modes so that the required test time is the same for all joint drive components of the robot, and it is necessary to design test modes with
Coronavirus disease (COVID-19) has threatened public health as a global pandemic. Chest CT and radiography are crucial in managing COVID-19 in addition to reverse transcription-polymerase chain reaction, which is the gold standard for COVID-19 diagnosis. This is a review of the current status of the use of chest CT and radiography in COVID-19 diagnosis and management and an introduction of early representative studies on the application of artificial intelligence to chest CT and radiography. The