Publications by authors named "Inye Na"

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Enhancing intracranial vessel segmentation using diffusion models without manual annotation for 3D Time-of-Flight Magnetic Resonance Angiography.
Jonghun Kim, Inye Na, Jiwon Chung, Ha-Na Song, Kyungseo Kim

Comput Med Imaging Graph· October 2025

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Weakly-supervised segmentation using sparse single point annotations for lumen and wall of carotid arteries in 3D MRI.
Jonghun Kim, Inye Na, Junmo Kwon, Woo-Keun Seo, Hyunjin Park

Comput Methods Programs Biomed· September 2025

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Enhancing radiomics features via a large language model for classifying benign and malignant breast tumors in mammography.
Sinyoung Ra, Jonghun Kim, Inye Na, Eun Sook Ko, Hyunjin Park

Comput Methods Programs Biomed· June 2025

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Predicting cerebrovascular age and its clinical relevance: Modeling using 3D morphological features of brain vessels.
Hwan-Ho Cho, Jonghoon Kim, Inye Na, Ha-Na Song, Jong-Un Choi

Heliyon· June 2024

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Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI.
Inye Na, Joseph J Noh, Chan Kyo Kim, Jeong-Won Lee, Hyunjin Park

Front Oncol· January 2024

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Novel Multiparametric Magnetic Resonance Imaging-Based Deep Learning and Clinical Parameter Integration for the Prediction of Long-Term Biochemical Recurrence-Free Survival in Prostate Cancer after Radical Prostatectomy.
Hye Won Lee, Eunjin Kim, Inye Na, Chan Kyo Kim, Seong Il Seo

Cancers (Basel)· June 2023

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