Yaeon Park
Yonsei University
About the Lab
Professor Yaeon Park's research lab specializes in radiomics and medical image analysis, focusing on improving diagnostic accuracy and prognostic prediction in neuro- and oncological diseases. The lab develops advanced MRI-based radiomic models to classify tumor subtypes, predict survival outcomes, and assess treatment-related toxicity in brain tumors such as breast cancer brain metastases, gliomas, meningiomas, and craniopharyngiomas. A key emphasis is on translating radiomic features into clinically actionable insights through machine learning and quantitative imaging biomarkers. The lab also extends its expertise to biomedical engineering, including the design of functional protective uniforms for civil defense, integrating material science with human performance.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
7Purpose: Breast cancer brain metastases (BCBM) may involve subtypes that differ from the primary breast cancer lesion. This study aimed to develop a radiomics-based model that utilizes preoperative brain MRI for multiclass classification of BCBM sub types and to investigate whether the model offers better prediction accuracy than the assumption that primary lesions and their BCBMs would be of the same subtype (non-conversion model) in an external validation set. Materials and Methods: The traini
Purpose: Surgery, radiotherapy (RT), and chemotherapy have prolonged the survival of patients with anaplastic oligodendroglio ma. However, whether RT induces long-term toxicity remains unknown. We analyzed the relationship between the RT dose to the fornix and symptomatic radiation necrosis (SRN). Materials and Methods: A total of 67 patients treated between 2009 and 2019 were analyzed. SRN was defined according to the following three criteria: 1) radiographic findings, 2) symptoms attributable
Purpose: Lower-grade gliomas of histologic grades 2 and 3 follow heterogenous clinical outcomes, which necessitates risk stratification. This study aimed to evaluate whether diffusion-weighted and perfusion-weighted MRI radiomics allow overall survival (OS) prediction in patients with lower-grade gliomas and investigate its prognostic value. Materials and Methods: In this retrospective study, radiomic features were extracted from apparent diffusion coefficient, relative cerebral blood volume map
This study outlines a systematic approach to the design framework of civil defense uniforms that prioritizes mobility and protective functionality. The old civil defense uniforms were not suitable for civil defense duties in terms of durability and activity. Therefore, a new civil defense uniform suitable for disaster recovery with better water repellency and elongation was developed. This study tested and compared the mechanical properties of the materials used in the old long-sleeve jacket (OL
Background: To compare the diagnostic performance of two-dimensional (2D) and three-dimensional (3D) fractal dimension (FD) and lacunarity features from MRI for predicting the meningioma grade. Methods: This retrospective study included 123 meningioma patients [90 World Health Organization (WHO) grade I, 33 WHO grade II/III] with preoperative MRI including post-contrast T1-weighted imaging. The 2D and 3D FD and lacunarity parameters from the contrast-enhancing portion of the tumor were calculate
Purpose: Adjuvant treatment for craniopharyngioma after surgery is controversial. Adjuvant external beam radiation therapy (EBRT) can increase the risk of long-term sequelae. Stereotactic radiosurgery (SRS) is used to reduce treatment-related toxicity. In this study, we compared the treatment outcomes and toxicities of adjuvant therapies for craniopharyngioma. Materials and Methods: We analyzed patients who underwent craniopharyngioma tumor removal between 2000 and 2017. Of the 153 patients, 27
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