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Author

B S Kim

Observed names: Bitnarae Kim, Kim, Bitnarae
ORCID: 0009-0004-6774-3543
Observed ORCID: 0009-0004-6774-3543
OpenAlex ID: A5025506530
Detection of Aortic Dissection and Intramural Hematoma in Non-Contrast Chest Computed Tomography Using a You Only Look Once-Based Deep Learning Model
2024 · Yu-Seop Kim, Jae Guk Kim, et al. · Journal of Clinical Medicine · 7
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A study of spinal mineral assessment using quantitative computed tomography
1986 · C H Sol, B S Kim · Journal of the Korean Radiological Society · 2
Radiologic findings of chest radiograph for the mass survey in shipyard welders, Pusan
1990 · J B Lee, K I Kim, et al. · Journal of the Korean Radiological Society · 1
Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Kyung Hun Yoo, Juncheol Lee, et al. · Scandinavian Journal of Trauma Resuscitation and Emergency Medicine
Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 5 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 4 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 6 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 9 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 2 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 3 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 7 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 8 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Additional file 1 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis
2026 · Yoo, Kyung Hun, Lee, Juncheol, et al. · Figshare
Experience of orthotopic liver transplantation in 11 patients with liver cirrhosis from Korea: medical factors affecting outcome
1998 · J Y Choi, Y M Park, et al. · Journal of Korean Medical Science
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Dosimetry study of tumor with I-131-Lipiodol paraffin phantoms
1988 · H S Yoo, S S Chu, et al. · Journal of the Korean Radiological Society
Significance of a postenhancement computed tomography finding in liver cirrhosis : in view of hemodynamics
1985 · S H Lee, B S Kim · Journal of the Korean Radiological Society
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Works count: 17
Citation count: 10
H-index: 2
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