World's Best Scientists 2026 revealed!
Seung-Koo Lee

Seung-Koo Lee

D-Index & Metrics

Neuroscience

D-Index
49
Citations
9691
World Ranking
5949
National Ranking
30

Overview

Seung-Koo Lee is affiliated with Yonsei University in South Korea and has contributed extensively to the field of medical research, particularly in radiology and medical imaging. Their work emphasizes the application of radiomics and machine learning techniques to improve diagnostic and prognostic processes in neurological and oncological diseases.

Their research covers a broad array of topics including:

  • Radiomics and Machine Learning in Medical Imaging
  • Glioma Diagnosis and Treatment
  • MRI in cancer diagnosis
  • Meningioma and schwannoma management
  • Brain Metastases and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Medical Imaging Techniques and Applications

Seung-Koo Lee's main field of study is Medicine, with 387 published works. Their subfields include:

  • Radiology, Nuclear Medicine and Imaging
  • Genetics
  • Neurology
  • Pulmonary and Respiratory Medicine
  • Epidemiology

Frequent publication venues for Lee's work are:

  • European Radiology
  • Neuro-Oncology
  • Korean Journal of Radiology
  • Neuroradiology
  • Yonsei Medical Journal

Selected notable papers include:

  • Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics (2020, Neuro-Oncology)
  • Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation (2020, Scientific Reports)
  • A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance (2020, European Radiology)
  • Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction (2020, European Radiology)
  • Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results (2021, PLoS ONE)

Frequent co-authors collaborating with Lee include:

  • Sung Soo Ahn
  • Yae Won Park
  • Jong Hee Chang
  • Se Hoon Kim
  • Kyunghwa Han

Best Publications

  • Pediatric diffusion tensor imaging: normal database and observation of the white matter maturation in early childhood.

    Laurent Hermoye;Christine Saint-Martin;Guy Cosnard;Seung Koo Lee

  • Diffusion-tensor MR imaging and tractography : Exploring brain microstructure and connectivity

    Paolo G. P. Nucifora;Ragini Verma;Seung-Koo Lee;Elias R. Melhem

  • Free radicals as triggers of brain edema formation after stroke.

    Ji Hoe Heo;Sang Won Han;Seung Koo Lee

  • Diffusion-Tensor MR Imaging and Fiber Tractography: A New Method of Describing Aberrant Fiber Connections in Developmental CNS Anomalies

    Seung-Koo Lee;Dong Ik Kim;Jinna Kim;Dong Joon Kim

  • Corpus callosal connection mapping using cortical gray matter parcellation and DT-MRI

    Hae-Jeong Park;Jae Jin Kim;Seung-Koo Lee;Jeong Ho Seok

  • Predictors of surgical outcome and pathologic considerations in focal cortical dysplasia.

    D. W. Kim;S. K. Lee;K. Chu;K. I. Park

  • White matter abnormalities associated with auditory hallucinations in schizophrenia: a combined study of voxel-based analyses of diffusion tensor imaging and structural magnetic resonance imaging.

    Jeong Ho Seok;Jeong Ho Seok;Hae Jeong Park;Ji Won Chun;Seung Koo Lee

  • Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics

    Yoon Seong Choi;Yoon Seong Choi;Yoon Seong Choi;Sohi Bae;Jong Hee Chang;Seok Gu Kang

  • Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

    Andreia V. Faria;Jiangyang Zhang;Kenichi Oishi;Xin Li

  • Results of Transvenous Embolization of Cavernous Dural Arteriovenous Fistula: A Single-Center Experience with Emphasis on Complications and Management

    D J Kim;D I Kim;S H Suh;J Kim

  • Stent-assisted coil embolization of intracranial wide-necked aneurysms.

    Young-Jun Lee;Dong Joon Kim;Sang Hyun Suh;Seung-Koo Lee

  • Mitochondrial respiratory chain defects: Underlying etiology in various epileptic conditions

    Young Mock Lee;Hoon Chul Kang;Joon Soo Lee;Se Hoon Kim

  • Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging

    Yae Won Park;Yae Won Park;Jongmin Oh;Seng Chan You;Kyunghwa Han

  • Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images

    Raginia Verma;Evangelia I. Zacharaki;Yangming Ou;Hongmin Cai

  • Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas.

    Y.W. Park;K. Han;S.S. Ahn;S. Bae

  • ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

    E.I. Zacharaki;Dinggang Shen;Seung-Koo Lee;C. Davatzikos

  • MR Imaging of Neoplastic Central Nervous System Lesions: Review and Recommendations for Current Practice

    Marco Essig;N. Anzalone;S. E. Combs;A. Dörfler

  • Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach

    Hie Bum Suh;Yoon Seong Choi;Sohi Bae;Sung Soo Ahn

  • MR imaging in multiple sclerosis: review and recommendations for current practice.

    Karl Olof Lövblad;N. Anzalone;A. Dörfler;M. Essig

  • Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume

    Yoon Seong Choi;Sung Soo Ahn;Seung Koo Lee;Jong Hee Chang

Frequent Co-Authors

Phil Hyu Lee
Phil Hyu Lee Yonsei University
Byung In Lee
Byung In Lee Inje University
Young H. Sohn
Young H. Sohn Yonsei University
Heung Dong Kim
Heung Dong Kim Yonsei University Health System
Hae-Jeong Park
Hae-Jeong Park Yonsei University
Daniel S. Marcus
Daniel S. Marcus Washington University in St. Louis
Sang Won Seo
Sang Won Seo Samsung Medical Center
Hoon Chul Kang
Hoon Chul Kang Boston Children's Hospital

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring neuroscience often leads students to consider related fields that offer flexible and affordable online options. For those interested in clinical and social work, pursuing an online msw (Master of Social Work) can open careers in mental health services, counseling, or healthcare settings.

Individuals looking to specialize in behavioral analysis may be interested in bcba masters programs, which train students to become Board Certified Behavior Analysts—a sought-after qualification in educational and therapeutic roles.

Many learners need to balance work, family, and study. This has made 1 year msw programs increasingly popular, offering the chance to fast-track entry into the workforce for those with relevant academic backgrounds.

For those interested in understanding human behavior from a broader perspective, choosing an accelerated psychology degree online can lead to diverse careers in counseling, research, and applied psychology. These pathways complement a neuroscience background, broadening career prospects across healthcare, education, and research fields.

Best Scientists Citing Seung-Koo Lee

Trending Scientists

Recently Published Articles