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Hack-Jin Lee

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Bio-Medical Engineering|February 4, 2016
Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering AlgorithmHack-Jin Lee, Eun-Jin Jeong, Hakseung Kim, et al.
IEEE Journal of Biomedical and Health Informatics|June 1, 2021
Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine LearningHack-Jin Lee, Hakseung Kim, Young-Tak Kim, et al.
Journal of Neurosurgery|December 23, 2018
Novel index for predicting mortality during the first 24 hours after traumatic brain injuryHakseung Kim, Hack-Jin Lee, Young-Tak Kim, et al.
Acta Neurochirurgica. Supplement|May 12, 2016
Finite Element Model for Hydrocephalus and Idiopathic Intracranial HypertensionDong-Joo Kim, Hakseung Kim, Dae-Hyeon Park, et al.
Clinical Neurology and Neurosurgery|February 3, 2016
Spectral analysis of intracranial pressure: Is it helpful in the assessment of shunt functioning in-vivo?Dong-Joo Kim, Hakseung Kim, Eun-Jin Jeong, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|September 25, 2016
Cerebrospinal fluid dynamics at the lumbosacral level in patients with spinal stenosis: A pilot studySe-Woong Chun, Hack-Jin Lee, Koong-Ho Nam, et al.
Scientific Reports|March 1, 2024
Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistulaWoohyung Lee, Hyo Jung Park, Hack-Jin Lee, et al.
International Journal of Surgery (London, England)|September 1, 2022
Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patientsWoohyung Lee, Hyo Jung Park, Hack-Jin Lee, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|February 4, 2016
Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering AlgorithmHack-Jin Lee, Eun-Jin Jeong, Hakseung Kim, et al.
IEEE Journal of Biomedical and Health Informatics|June 1, 2021
Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine LearningHack-Jin Lee, Hakseung Kim, Young-Tak Kim, et al.
Journal of Neurosurgery|December 23, 2018
Novel index for predicting mortality during the first 24 hours after traumatic brain injuryHakseung Kim, Hack-Jin Lee, Young-Tak Kim, et al.
Acta Neurochirurgica. Supplement|May 12, 2016
Finite Element Model for Hydrocephalus and Idiopathic Intracranial HypertensionDong-Joo Kim, Hakseung Kim, Dae-Hyeon Park, et al.
Clinical Neurology and Neurosurgery|February 3, 2016
Spectral analysis of intracranial pressure: Is it helpful in the assessment of shunt functioning in-vivo?Dong-Joo Kim, Hakseung Kim, Eun-Jin Jeong, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|September 25, 2016
Cerebrospinal fluid dynamics at the lumbosacral level in patients with spinal stenosis: A pilot studySe-Woong Chun, Hack-Jin Lee, Koong-Ho Nam, et al.
Scientific Reports|March 1, 2024
Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistulaWoohyung Lee, Hyo Jung Park, Hack-Jin Lee, et al.
International Journal of Surgery (London, England)|September 1, 2022
Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patientsWoohyung Lee, Hyo Jung Park, Hack-Jin Lee, et al.
Pageof 1