Seung-Hak Lee

Seoul National University — South Korea

Medicine · Health Sciences

18h-index1.3kcitations55works1.42yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(22), Lung Cancer Diagnosis and Treatment(10), Environmental remediation with nanomaterials(6), Advanced X-ray and CT Imaging(6), Medical Imaging Techniques and Applications(4)

Publications55 total

Multilateral Dimensions of Bilateral Trade of Korea: A Comparative Analysis of Gross, Value-Added, and Income-based Approaches
Global Economic Review·2025
Visualization of atelectasis development and resolution in real-time.
ASVIDE·2024
Real-time identification of nodule location during atelectasis development of patient No. 1.
ASVIDE·2024
Comparison of actual VATS procedure and 3D simulation of atelectasis of patient No. 5. VATS, video-assisted thoracoscopic surgery.
ASVIDE·2024
3D exploration of atelectasis on thoracic cavity of patient No. 1.
ASVIDE·2024
Development of a CT image-based virtual atelectasis simulation model and noninvasive lung nodule localization system
Journal of Thoracic Disease·2024Open Access
Effectiveness of Proprioceptive Neuromuscular Facilitation on Walking Speed, Discomfort, and Knee Extension in an Acute Stroke Patient: A Case Study
South Eastern European Journal of Public Health·2024Open Access
Development of a predictive model for hypoxia due to sedatives in gastrointestinal endoscopy: a prospective clinical study in Korea
Clinical Endoscopy·2024· 7 citedOpen Access
Unveiling interfacial interaction between antimony oxyanions and boehmite nanorods: Spectroscopic evidence and density functional theory analysis
Journal of Hazardous Materials·2024· 4 cited
Analysis of the association between vestibular schwannoma and hearing status using a newly developed radiomics technique
European Archives of Oto-Rhino-Laryngology·2024· 2 cited
A Potential Radiomics–Clinical Model for Predicting Failure of Lymph Node Control after Definite Radiotherapy in Locally Advanced Head and Neck Cancer
Medicina·2024· 2 citedOpen Access
Robust multimodal fusion network using adversarial learning for brain tumor grading
Computer Methods and Programs in Biomedicine·2022· 11 cited
Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation
European Radiology·2022· 4 cited
Are radiomics features universally applicable to different organs?
Cancer Imaging·2021· 15 citedOpen Access
Tumor Margin Contains Prognostic Information: Radiomic Margin Characteristics Analysis in Lung Adenocarcinoma Patients
Cancers·2021· 7 citedOpen Access
Computed Tomography Radiomics for Residual Positron Emission Tomography-Computed Tomography Uptake in Lymph Nodes after Treatment
Cancers·2020Open Access
Deciphering the tumor microenvironment through radiomics in non-small cell lung cancer: Correlation with immune profiles
PLoS ONE·2020· 60 citedOpen Access
Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review
Korean Journal of Radiology·2020· 101 citedOpen Access
Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer
Cancer Imaging·2019· 49 citedOpen Access
Prognostic Impact of Longitudinal Monitoring of Radiomic Features in Patients with Advanced Non-Small Cell Lung Cancer
Scientific Reports·2019· 17 citedOpen Access
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Frequent Co-authors

Hyunjin Park(21), Ho Yun Lee(12), Hwan-ho Cho(6), Insuk Sohn(6), Junboum Park(5), Geewon Lee(5), Intae Hwang(5), Sungwon Ham(5), Chohee Kim(5), Cherry Kim(5), Jinwook Hwang(5), Jong‐Hoon Kim(3), Kyung Soo Lee(3), Mansu Kim(3), Jae‐Won Lee(2), So Hee Song(2), Hye Seung Kim(2), Young Tae Kim(2), Young Mog Shim(2), Jun Kang(2)