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Hakseung Kim

Showing results (1-10 of 34) with videos related to

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Brain Stimulation|April 12, 2025
Systematic review for VNS vs. pharmaceutical modulations for multifaceted neurological disorder management through cross-case, network meta-analysisHyun-Jee Han, Hakseung Kim, Dong-Joo Kim
Journal of Neurosurgery|July 1, 2016
ResponseHakseung Kim, Eun-Jin Jeong, Dong-Joo Kim
Journal of Clinical Neurology (Seoul, Korea)|January 8, 2025
Predicting All-Cause Mortality in Patients With Obstructive Sleep Apnea Using Sleep-Related Features: A Machine-Learning ApproachHyun-Ji Kim, Hakseung Kim, Dong-Joo Kim
IEEE Journal of Biomedical and Health Informatics|May 5, 2022
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using PhotoplethysmographyDong-Kyu Kim, Young-Tak Kim, Hakseung Kim, et al.
IEEE Transactions on Cybernetics|September 9, 2025
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid-Self-Supervised Learning FrameworkCheol-Hui Lee, Hakseung Kim, Byung Chul Yoon, et al.
Computers in Biology and Medicine|September 23, 2023
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patientsSeho Lee, Hakseung Kim, Jung Bin Kim, et al.
Journal of Clinical Neurology (Seoul, Korea)|March 11, 2022
Autonomic Dysfunction in Sleep Disorders: From Neurobiological Basis to Potential Therapeutic ApproachesHakseung Kim, Hee Ra Jung, Jung Bin Kim, et al.
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.
Journal of Neurosurgical Anesthesiology|October 10, 2017
Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network AnalysisHakseung Kim, Seung-Bo Lee, Yunsik Son, 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.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Brain Stimulation|April 12, 2025
Systematic review for VNS vs. pharmaceutical modulations for multifaceted neurological disorder management through cross-case, network meta-analysisHyun-Jee Han, Hakseung Kim, Dong-Joo Kim
Journal of Neurosurgery|July 1, 2016
ResponseHakseung Kim, Eun-Jin Jeong, Dong-Joo Kim
Journal of Clinical Neurology (Seoul, Korea)|January 8, 2025
Predicting All-Cause Mortality in Patients With Obstructive Sleep Apnea Using Sleep-Related Features: A Machine-Learning ApproachHyun-Ji Kim, Hakseung Kim, Dong-Joo Kim
IEEE Journal of Biomedical and Health Informatics|May 5, 2022
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using PhotoplethysmographyDong-Kyu Kim, Young-Tak Kim, Hakseung Kim, et al.
IEEE Transactions on Cybernetics|September 9, 2025
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid-Self-Supervised Learning FrameworkCheol-Hui Lee, Hakseung Kim, Byung Chul Yoon, et al.
Computers in Biology and Medicine|September 23, 2023
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patientsSeho Lee, Hakseung Kim, Jung Bin Kim, et al.
Journal of Clinical Neurology (Seoul, Korea)|March 11, 2022
Autonomic Dysfunction in Sleep Disorders: From Neurobiological Basis to Potential Therapeutic ApproachesHakseung Kim, Hee Ra Jung, Jung Bin Kim, et al.
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.
Journal of Neurosurgical Anesthesiology|October 10, 2017
Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network AnalysisHakseung Kim, Seung-Bo Lee, Yunsik Son, 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.
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