Eung Yeop Kim

Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization

2024 · 28 Zit. · European Radiology

Need for Transparency and Clinical Interpretability in Hemorrhagic Stroke Artificial Intelligence Research: Promoting Effective Clinical Application

2024 · 4 Zit. · Yonsei Medical Journal

Effect of Deep Learning-Based Artificial Intelligence on Radiologists’ Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging

2025 · 3 Zit. · Korean Journal of Radiology