ScholarWorks@Korea University: KIM, Dong Joo

Detailed Information

KIM, Dong Joo (김동주)

Graduate School (Department of Brain and Cognitive Engineering)

Research Area

Tel 02-3290-5929
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Monitoring:5||traumatic brain injury:5||Intracranial pressure:4||intracranial pressure:3||Normal pressure hydrocephalus:3||Traumatic brain injury:3||Hydrocephalus:2||Hypertension:2||Deep learning:2||cerebral autoregulation:2||Feature extraction:2||Computed tomography:2||Braincomputer interface:2||biomechanics:2||finite element model:2||Machine learning:2||motor imagery:2||Motor imagery:2||Neurocritical Care:2||Biomechanics:2||TBI:2||Imaging:2||Resistance to CSF outflow:2||cerebrospinal fluid:2||hydrocephalus:2||white matter:1||Compensatory reserve:1||Davson's equation:1||Outcome prediction:1||transmantle pressure gradient:1||cerebral blood volume:1||Estimation:1||arterial blood pressure:1||stacked convolutional autoencoder:1||intuitive robotic arm control:1||neurocritical care:1||computed tomography:1||traumatic:1||computerassisted:1||Critical care:1||lumbar spinal stenosis:1||periventricular lucency:1||Ischemia:1||Finite element model:1||critical closing pressure:1||vascular compartment:1||Windows:1||Standards:1||Data models:1||Convolution:1||Paralysis:1||frontal lobe epilepsy:1||laterality:1||Brainmachine interface (BMI):1||electroencephalogram (EEG):1||Multiclass discrimination:1||validation:1||Signal processing:1||Neural networks (computer):1||Arterial pressure:1||central line infections:1||Waveform analysis:1||Infusion test:1||compensatory mechanism:1||photoplethysmography:1||Eventrelated desynchronization:1||convolutional neural network:1||LLA:1||Intracerebral hemorrhage:1||hydrodynamics:1||Infusion tests:1||Transcranial Doppler:1||Metaanalysis:1||Infusion study:1||cerebral compliance:1||Hemiplegia:1||Physical disability:1||autonomic nervous system:1||cerebral hypoperfusion:1||cerebrovascular reactivity:1||Electroencephalogram:1||autoregulation:1||Autoregulation:1||pulse morphology:1||idiopathic intracranial hypertension:1||subarachnoid hemorrhage:1||vasospasm:1||wall tension:1||Cerebral edema:1||Densitometry:1||Clinical outcome:1||electroencephalography:1||hemodynamic instability:1||heart rate variability:1||deep learning:1||gray matter:1||continuous indices:1||arterial pressure:1||brain injuries:1||machinelearning:1||Cerebral Blood Flow:1||Cerebrospinal fluid:1||biphase:1||Cerebrospinal compliance:1||Pediatrics:1||CSF compartment:1||electrodes:1||multilayer neural network:1||braincomputer interfaces:1||lower limb:1||cerebral perfusion pressure:1||experimental:1||Computerassisted:1||Physiologic:1||pressure reactivity index:1||Statistical inference:1||Antibacterial activity:1||bloodstream model:1||phasecontrast magnetic resonance imaging:1||Biomedical signal processing:1||Critical closing pressure:1||Transmantle pressure gradient:1||Predictive models:1||Brain modeling:1||neural networks:1||Electroencephalography:1||Functional connectivity:1||densitometry:1||Diffuse injury:1||signal processing:1||Artifacts:1||CPPopt:1||multiwindow algorithm:1||Shunt:1||Biphase:1||Shunt responsiveness:1||Intracranial hypertension:1||Neuromonitoring:1||selfattention:1||seizure onset zone:1||

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE