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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.

organic optoelectronicslow-power electronicsmedical image analysisenergy harvesting systemssmart materials

Research Overview

Papers
85
Total Citations
1,260
Papers (5y)
18
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
18total
2022
2023
2024
2025
2026
Citations per year (5y)
82total
20222023202420252026

Selected Papers

15
1
Article|58 citations·2013
A new electron transporting material for effective hole-blocking and improved charge balance in highly efficient phosphorescent organic light emitting diodes
Seung‐Jin Yoo, Hui‐Jun Yun, Il Kang, K. Thangaraju, Soon‐Ki Kwon, Yun‐Hi Kim
SJR Q1Journal of Materials Chemistry C

A 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

Electrical and Electronic EngineeringEngineering
2
Article|35 citations·2020
Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network
Seung‐Jin Yoo, Soon Ho Yoon, Jong Hyuk Lee, Ki Hwan Kim, Hyoung In Choi, Sang Joon Park, Jin Mo Goo
SJR Q1Korean Journal of RadiologyOA

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.

Pulmonary and Respiratory MedicineMedicine
3
Article|31 citations·2012
A Low-Power Single-Clock-Driven Scan Driver Using Depletion-Mode a-IGZO TFTs
Seung‐Jin Yoo, Sungjin Hong, Jin‐Seong Kang, Hai‐Jung In, Oh‐Kyong Kwon
SJR Q1IEEE Electron Device Letters

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

Electrical and Electronic EngineeringEngineering
4
Article|25 citations·2009
Design and Control of Hybrid Electric Power System for a Hydraulically Actuated Excavator
Seung‐Jin Yoo, Sangjun An, Cheol-Gyu Park, Nagin Kim
SJR Q3SAE International journal of commercial vehicles

<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

Mechanical EngineeringEngineering
5
Article|16 citations·2020
Elasticity of torn supraspinatus tendons measured by shear wave elastography: a potential surrogate marker of chronicity?
Seung‐Jin Yoo, Seunghun Lee, Yoonah Song, Chun K. Kim, Bong Gun Lee, Jiyoon Bae
SJR Q1ULTRASONOGRAPHYOA

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.

Orthopedics and Sports MedicineMedicine
6
Article|12 citations·2024
Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT
Seung‐Jin Yoo, Young Sik Park, Hyewon Choi, Dasom Kim, Jin Mo Goo, Soon Ho Yoon
SJR Q1PLoS ONEOA

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

Pulmonary and Respiratory MedicineMedicine
7
Article|10 citations·2018
Inertial parameter estimation for the dynamic simulation of a hydraulic excavator
Seung‐Jin Yoo, Cheol-Gyu Park, Seung-Han You
SJR Q2Journal of Mechanical Science and Technology
Mechanical EngineeringEngineering
8
Article|8 citations·2023
A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults
Seung‐Jin Yoo, Joon Ha Jung, Jai-Kyung Lee, Sang Woo Shin, Dal Sik Jang
SJR Q1SensorsOA

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

Control and Systems EngineeringEngineering
9
Article|8 citations·2010
Bandwidth Maximizing Design for Hydraulically Actuated Excavators
Seung‐Jin Yoo, Cheol-Gyu Park, Bokman Lim, Kyo Il Lee, F.C. Park
SJR Q1Journal of Vibration and Control

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

Mechanical EngineeringEngineering
10
Article|6 citations·2013
Synthesis of donor-acceptor alternating copolymer by uncatalyzed condensation polymerization
Seung‐Jin Yoo, Chan Woo Jeon, Jong‐jin Ha, Sang Young Nam, Sung Chul Shin, Jaeyoung Hwang, Yun‐Hi Kim
SJR Q2Macromolecular Research
Electrical and Electronic EngineeringEngineering
11
Review|5 citations·2001
Combination treatment with sirolimus and ciclosporin in clinicalrenal transplantation: A comprehensive review
Seung‐Jin Yoo, Barry D. Kahan
SJR Q3Drugs of today

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

TransplantationMedicine
12
Article|3 citations·2006
OPTIMAL INTEGRATION OF ACTIVE 4 WHEEL STEERING AND DIRECT YAW MOMENT CONTROL
Seung‐Jin Yoo, Seung-Han You, Joon-Sang Jo, Duhyung Kim, Kyo Ii Lee
IFAC Proceedings Volumes
Automotive EngineeringEngineering
13
Article|3 citations·2020
Optimal Robot Motion for Accelerated Life Testing of a 6-DoF Industrial Robot
Seung‐Jin Yoo, Jin Jang, Jai-Kyung Lee, Jong-won Park
SJR Q2Applied SciencesOA

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

Control and Systems EngineeringEngineering
14
Review|2 citations·2020
Role of Chest Radiographs and CT Scans and the Application of Artificial Intelligence in Coronavirus Disease 2019
Seung‐Jin Yoo, Jin Mo Goo, Soon Ho Yoon
SJR Q4Journal of the Korean Society of RadiologyOA

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

Radiology, Nuclear Medicine and ImagingMedicine
15
Article|2 citations·2018
Differential Imaging Features of Widening and Pseudo‐Widening of the Sacroiliac Joints
Seung‐Jin Yoo, Seunghun Lee, Jeong Ah Ryu
SJR Q1Arthritis & Rheumatology
SurgeryMedicine

Research Areas

Pulmonary and Respiratory MedicineSurgeryRadiology, Nuclear Medicine and ImagingElectrical and Electronic EngineeringControl and Systems EngineeringAutomotive Engineering

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