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전세영 교수

Seyoung Jeon

서울대학교 · 컴퓨터과학

연구실 소개

전세영 교수의 연구실은 고체물리학 및 광학적 성질을 기반으로 한 새로운 물질의 상전이와 스핀-음향 모드 상호작용을 연구합니다. 특히 리튬 마그네티트(리튬 망간산화물)와 같은 삼각형 격자 구조를 가진 물질에서의 자성 전이와 온도에 따른 진동 모드 변화를 분석하며, 스핀-음향 결합 메커니즘을 규명하는 데 초점을 맞추고 있습니다. 이는 고온 초전도체나 스핀트로닉스 소자 등 미래의 에너지 및 정보 기술에 응용될 수 있는 기초 연구입니다.

스핀-음향 결합고체물리자기 전이적외선 분광법음향 모드

연구 현황

논문 수
234
총 인용 수
2,932
최근 5년 논문
85
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
85총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
252총합
20222023202420252026

주요 논문

15
1
논문|인용수 178·2012
MRI-Based Nonrigid Motion Correction in Simultaneous PET/MRI
Se Young Chun, Timothy G. Reese, Jinsong Ouyang, Bastien Guérin, Ciprian Catana, Xuping Zhu, Nathaniel M. Alpert, Georges El Fakhri
SJR Q1FWCI 21.7Journal of Nuclear MedicineOA

Tagged MRI motion correction in simultaneous PET/MRI significantly improves lesion detection compared with respiratory gating and no motion correction while reducing radiation dose. In vivo primate and rabbit studies confirmed the improvement in PET image quality and provide the rationale for evaluation in simultaneous whole-body PET/MRI clinical studies.

Radiology, Nuclear Medicine and ImagingMedicine
2
논문|인용수 79·2009
A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility
Se Young Chun, Jeffrey A. Fessler
SJR Q1FWCI 7.9IEEE Journal of Selected Topics in Signal ProcessingOA

Nonrigid image registration is an important task for many medical imaging applications. In particular, for radiation oncology it is desirable to track respiratory motion for thoracic cancer treatment. B-splines are convenient for modeling nonrigid deformations, but ensuring invertibility can be a challenge. This paper describes sufficient conditions for local invertibility of deformations based on B-spline bases. These sufficient conditions can be used with constrained optimization to enforce lo

Computational MechanicsEngineering
3
논문|인용수 54·2012
Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template
Se Young Chun, Jeffrey A. Fessler, Yuni K. Dewaraja
SJR Q1FWCI 2.2IEEE Transactions on Medical ImagingOA

Compensating for the collimator-detector response (CDR) in SPECT is important for accurate quantification. The CDR consists of both a geometric response and a septal penetration and collimator scatter response. The geometric response can be modeled analytically and is often used for modeling the whole CDR if the geometric response dominates. However, for radionuclides that emit medium or high-energy photons such as I-131, the septal penetration and collimator scatter response is significant and

Radiology, Nuclear Medicine and ImagingMedicine
4
논문|인용수 53·2010
Heat transfer characteristics of Si and SiC nanofluids during a rapid quenching and nanoparticles deposition effects
Se-Young Chun, In Cheol Bang, Yeon-Jun Choo, Chul-Hwa Song
SJR Q1FWCI 1.9International Journal of Heat and Mass Transfer
Biomedical EngineeringEngineering
5
논문|인용수 44·2001
Effect of pressure on critical heat flux in uniformly heated vertical annulus under low flow conditions
Se-Young Chun, Heung-June Chung, Sang-Ki Moon, Sun-Kyu Yang, Moon-Ki Chung, Thomas Schoesse, Masanori ARITOMI
SJR Q1FWCI 3.8Nuclear Engineering and Design
Mechanical EngineeringEngineering
6
논문|인용수 40·2016
ECG based user authentication for wearable devices using short time Fourier transform
Se Young Chun, Jae-Hwan Kang, Hanvit Kim, Chungho Lee, Ian Oakley, Sung-Phil Kim
FWCI 3.8

Electrocardiogram (ECG) is a promising biometric. There has been much research on ECG based user authentication and identification, but there have been few works to investigate ECG biometrics for stand-alone wearable ECG sensors, for quick response time using a single pulse ECG, and for small wearable devices that may have limited access to others' ECG information.

Cardiology and Cardiovascular MedicineMedicine
7
논문|인용수 36·2014
Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers
Se Young Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
SJR Q1FWCI 3.8IEEE Transactions on Medical Imaging

The ordered subset expectation maximization (OSEM) algorithm approximates the gradient of a likelihood function using a subset of projections instead of using all projections so that fast image reconstruction is possible for emission and transmission tomography such as SPECT, PET, and CT. However, OSEM does not significantly accelerate reconstruction with computationally expensive regularizers such as patch-based nonlocal (NL) regularizers, because the regularizer gradient is evaluated for every

Radiology, Nuclear Medicine and ImagingMedicine
8
논문|인용수 31·2012
Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods
Se Young Chun, Jeffrey A. Fessler
SJR Q1FWCI 5.2IEEE Transactions on Medical ImagingOA

Motion-compensated image reconstruction (MCIR) methods incorporate motion models to improve image quality in the presence of motion. MCIR methods differ in terms of how they use motion information and they have been well studied separately. However, there have been less theoretical comparisions of different MCIR methods. This paper compares the theoretical noise properties of three popular MCIR methods assuming known nonrigid motion. We show the relationship among three MCIR methods-motion-compe

Radiology, Nuclear Medicine and ImagingMedicine
9
논문|인용수 26·2009
Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility
Se Young Chun, Jeffrey A. Fessler
FWCI 3.3Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIEOA

Motion artifacts are a significant issue in medical image reconstruction. There are many methods for incorporating motion information into image reconstruction. However, there are fewer studies that focus on deformation regularization in motioncompensated image reconstruction. The usual choice for deformation regularization has been penalty functions based on the assumption that tissues are elastic. In the image registration field, there have been some methods proposed that impose deformation in

Radiology, Nuclear Medicine and ImagingMedicine
10
논문|인용수 26·2016
Single pulse ECG-based small scale user authentication using guided filtering
Se Young Chun
FWCI 4.0

Electrocardiogram (ECG) has been demonstrated as a promising biometric for user authentication or classification. However, most of the previous works on ECG biometrics dealt with more than five ECG pulses at once, which will require at least a few seconds to acquire. Moreover, many of them investigated classification systems that require ECG signals of many people for effective dimensionality reduction methods such as PCA or for powerful classifiers such as SVM. In this article, we consider fast

Cardiology and Cardiovascular MedicineMedicine
11
논문|인용수 24·2012
Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods
Se Young Chun, Jeffrey A. Fessler
SJR Q1FWCI 3.5IEEE Transactions on Medical ImagingOA

Many motion-compensated image reconstruction (MCIR) methods have been proposed to correct for subject motion in medical imaging. MCIR methods incorporate motion models to improve image quality by reducing motion artifacts and noise. This paper analyzes the spatial resolution properties of MCIR methods and shows that nonrigid local motion can lead to nonuniform and anisotropic spatial resolution for conventional quadratic regularizers. This undesirable property is akin to the known effects of int

Radiology, Nuclear Medicine and ImagingMedicine
12
논문|인용수 23·2013
Post-reconstruction non-local means filtering methods using CT side information for quantitative SPECT
Se Young Chun, Jeffrey A. Fessler, Yuni K. Dewaraja
SJR Q1FWCI 3.2Physics in Medicine and Biology

Quantitative SPECT techniques are important for many applications including internal emitter therapy dosimetry where accurate estimation of total target activity and activity distribution within targets are both potentially important for dose–response evaluations. We investigated non-local means (NLM) post-reconstruction filtering for accurate I-131 SPECT estimation of both total target activity and the 3D activity distribution. We first investigated activity estimation versus number of ordered-

Radiology, Nuclear Medicine and ImagingMedicine
13
논문|인용수 19·2000
Critical Heat Flux in Uniformly Heated Vertical Annulus Under a Wide Range of Pressures 0.57 to 12.0 MPa
Se-Young Chun, Heung-June Chung, Sung-Deok Hong, Sun-Kyu Yang, Moon-Ki Chung
SJR Q2FWCI 1.0Nuclear Engineering and Technology

The critical heat flux (CHF)experiments have been carried out in a wide range of pressures for an internally heated vertical annulus. The experimental conditions covered ranges of pressures from 0.57 to 15.01 MPa, mass fluxes of 0 kg/s and from 200 to 650 kg/s, and inlet subcoolings from 85 to 413 kJ/kg. The characteristics of the present data and the effect of pressure on CHF are discussed. Most of the CHFs were identified to dryout of the liquid film in the annular or annular-mist flow. For th

Mechanical EngineeringEngineering
14
논문|인용수 19·2022
Physiology-based augmented deep neural network frameworks for ECG biometrics with short ECG pulses considering varying heart rates
Hanvit Kim, Thanh Phan, Wonjae Hong, Se Young Chun
SJR Q1FWCI 3.1Pattern Recognition Letters
Cardiology and Cardiovascular MedicineMedicine
15
논문|인용수 17·2012
Non-local means methods using CT side information for I-131 SPECT image reconstruction
Se Young Chun, Jeffrey A. Fessler, Yuni K. Dewaraja
FWCI 1.7

Recently, non-local means (NLM) methods for both image denoising and inverse problems have shown promising results in image processing and medical imaging. Moreover, some researchers have also shown that using additional information with low noise and/or high resolution for these problems can improve the image quality further. We investigated several NLM methods including NLM filters and NLM regularizers with and without CT side information for 1-131 SPECT image reconstruction. We compared two d

Radiology, Nuclear Medicine and ImagingMedicine

대표 연구 분야

Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingComputational MechanicsMechanical EngineeringArtificial IntelligenceAerospace Engineering

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