World's Best Scientists 2026 revealed!
Tae-Seong Kim

Tae-Seong Kim

D-Index & Metrics

Computer Science

D-Index
38
Citations
8038
World Ranking
10078
National Ranking
108

Overview

Tae-Seong Kim is affiliated with Kyung Hee University in South Korea and has made contributions primarily in the fields of engineering and medicine. Their research spans a range of specialized topics, including particle accelerators and beam dynamics, plasma diagnostics and applications, magnetic confinement fusion research, as well as orthopedic and foot and ankle surgery. Additionally, their work covers applications of AI in cancer detection and radiomics in medical imaging.

Their publication record includes papers in various scientific venues. Some notable recent papers are:

  • Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram, 2020, Advances in Experimental Medicine and Biology
  • Development of a Cs-free negative hydrogen ion source system using multi-pulsed plasma sources, 2022, Review of Scientific Instruments
  • Intramedullary nailing of subtrochanteric fractures in elderly patients: Comparative study of helical blade cephalomedullary nail versus reconstruction nail, 2022, Injury
  • Staged Management of Severely Displaced Calcaneal Fractures With Transarticular Pinning: A Damage Control Strategy, 2021, Foot & Ankle International
  • Design of a Two-Region Arc Plasma ion source for Cs-free H-, 2022, Fusion Engineering and Design

Tae-Seong Kim often collaborates with several researchers, including:

  • Seung Ho Jeong
  • Sung-Ryul Huh
  • Dae-Sik Chang
  • Chang-Wug Oh
  • Joon-Woo Kim

The scientist's frequent publication venues reflect a focus on both engineering and medical research. These include:

  • Fusion Engineering and Design
  • Foot & Ankle International
  • Advances in Experimental Medicine and Biology
  • Review of Scientific Instruments
  • Injury

Main fields of study for Tae-Seong Kim are:

  • Engineering
  • Medicine

Subfields addressed in their publications include:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Nuclear and High Energy Physics
  • Surgery
  • Orthopedics and Sports Medicine

Key research topics in Tae-Seong Kim's work are:

  • Particle accelerators and beam dynamics
  • Plasma Diagnostics and Applications
  • Magnetic confinement fusion research
  • Foot and Ankle Surgery
  • Orthopedic Surgery and Rehabilitation
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging

Best Publications

  • A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer

    A M Khan;Young-Koo Lee;S Y Lee;Tae-Seong Kim

  • Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.

    Mohammed A. Al-masni;Mugahed A. Al-antari;Mun Taek Choi;Seung Moo Han

  • Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

    Mohammed A. Al-masni;Mugahed A. Al-antari;Jeong-Min Park;Geon Gi

  • KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.

    Taejoon Eo;Yohan Jun;Taeseong Kim;Jinseong Jang

  • A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

    Mugahed A. Al-antari;Mohammed A. Al-masni;Mun-Taek Choi;Seung-Moo Han

  • Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.

    Mohammed A. Al-masni;Dong-Hyun Kim;Tae-Seong Kim

  • Human Activity Recognition via an Accelerometer-Enabled-Smartphone Using Kernel Discriminant Analysis

    A. M. Khan;Y.-K. Lee;S. Y. Lee;T.-S. Kim

  • Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms

    Mugahed A. Al-antari;Seung Moo Han;Tae Seong Kim

  • Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home

    A. Jalal;M. Z. Uddin;T.-S Kim

  • 3-D hand motion tracking and gesture recognition using a data glove

    Ji-Hwan Kim;Nguyen Duc Thang;Tae-Seong Kim

  • Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home

    Ahmad Jalal;Naeha Sarif;Jeong Tai Kim;Tae-Seong Kim

  • Vessel enhancement filter using directional filter bank

    Phan T. H. Truc;Md. A. U. Khan;Young-Koo Lee;Sungyoung Lee

  • An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

    Mugahed A. Al-antari;Mohammed A. Al-masni;Sung Un Park;Jun Hyeok Park

  • Correlation between BOLD-fMRI and EEG signal changes in response to visual stimulus frequency in humans

    Manbir Singh;Sungheon Kim;Tae-Seong Kim

  • Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets

    A. M. Khan;Y. K. Lee;T.-S. Kim

  • Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity.

    Won Hee Lee;Zhi-De Deng;Zhi-De Deng;Tae-Seong Kim;Andrew F. Laine

  • An enhanced independent component-based human facial expression recognition from video

    M.Z. Uddin;J.J. Lee;T.-S. Kim

  • Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network

    M. A. Al-masni;M. A. Al-antari;J. M. Park;G. Gi

  • Recognition of Human Home Activities via Depth Silhouettes and ℜ Transformation for Smart Homes

    Ahmad Jalal;Md. Zia Uddin;Jeong Tai Kim;Tae-Seong Kim

  • An efficient word typing P300-BCI system using a modified T9 interface and random forest classifier

    Faraz Akram;Seung Moo Han;Tae-Seong Kim

  • Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly

    Adil Mehmood Khan;Young-Koo Lee;Sungyoung Lee;Tae-Seong Kim

Frequent Co-Authors

Sungyoung Lee
Sungyoung Lee Kyung Hee University
Young-Koo Lee
Young-Koo Lee Kyung Hee University
Jeong Tai Kim
Jeong Tai Kim Kyung Hee University
Vasilis Z. Marmarelis
Vasilis Z. Marmarelis University of Southern California
Ahmad Jalal
Ahmad Jalal Air University
Jin Keun Seo
Jin Keun Seo Yonsei University
Eung Je Woo
Eung Je Woo Kyung Hee University
Helena C. Chui
Helena C. Chui University of Southern California
Angel V. Peterchev
Angel V. Peterchev Duke University
Donghyun Kim
Donghyun Kim Yonsei University

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