Search Results - "Ryu, Seungjun"
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3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI
Published in Neuroinformatics (Totowa, N.J.) (2020)“…We performed this research to 1) evaluate a novel deep learning method for the diagnosis of Alzheimer’s disease (AD) and 2) jointly predict the Mini Mental…”
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Resting-state frontal electroencephalography (EEG) biomarkers for detecting the severity of chronic neuropathic pain
Published in Scientific reports (30-08-2024)“…Increasing evidence is present to enable pain measurement by using frontal channel EEG-based signals with spectral analysis and phase-amplitude coupling. To…”
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Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns
Published in PloS one (22-02-2019)“…Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern…”
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Optimizing clozapine for chemogenetic neuromodulation of somatosensory cortex
Published in Scientific reports (07-04-2020)“…Clozapine (CLZ) has been proposed as an agonist for Designer Receptors Exclusively Activated by Designer Drugs (DREADDs), to replace Clozapine-N-oxide (CNO);…”
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Feasibility and safety report on robotic assistance for cervical pedicle screw fixation: a cadaveric study
Published in Scientific reports (13-05-2024)“…This cadaveric study aimed to evaluate the safety and usability of a novel robotic system for posterior cervical pedicle screw fixation. Three human cadaveric…”
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Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster
Published in IEEE access (2021)“…Herpes zoster (HZ) is a common cutaneous disease affecting one out of five people; hence, early diagnosis of HZ is crucial as it can progress to chronic pain…”
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Machine Learning-Based Pain Severity Classification of Lumbosacral Radiculopathy Using Infrared Thermal Imaging
Published in Applied sciences (01-03-2023)“…Pain is subjective and varies among individuals. Doctors determine pain severity based on a patient’s self-reported symptoms. In such situations, a language…”
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Evaluation of Functional Decline in Alzheimer's Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements
Published in Frontiers in aging neuroscience (11-02-2019)“…: To perform automatic assessment of dementia severity using a deep learning framework applied to resting-state functional magnetic resonance imaging (rs-fMRI)…”
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Long-term results comparison after anterior cervical discectomy with BGS-7 spacer (NOVOMAX®-C) and allograft spacer: A prospective observational study
Published in Frontiers in bioengineering and biotechnology (19-04-2023)“…In an anterior cervical discectomy and fusion (ACDF), various types of graft materials including autograft, allograft, and synthetic graft have been used to…”
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The Combined Effects of RhBMP-2 and Systemic RANKL Inhibitor in Patients With Bone Density Loss Undergoing Posterior Lumbar Interbody Fusion: A Retrospective Observational Analysis With Propensity Score Matching
Published in Neurospine (01-12-2023)“…Objective: The risks of nonunion and subsidence are high in patients with bone density loss undergoing spinal fusion surgery. The internal application of…”
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Clinical Effect of Transverse Process Hook with K-Means Clustering-Based Stratification of Computed Tomography Hounsfield Unit at Upper Instrumented Vertebra Level in Adult Spinal Deformity Patients
Published in Journal of Korean Neurosurgical Society (01-01-2023)“…This study aimed to investigate the efficacy of transverse process (TP) hook system at the upper instrumented vertebra (UIV) for preventing screw pullout in…”
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Risk of insomnia symptoms according to Work-Family Conflict by workers’ characteristics
Published in Annals of occupational and environmental medicine (2023)“…Work-Family Conflict means that the demands of work and family roles cannot be met simultaneously, so one cannot concentrate on one's work or family role. This…”
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Sex-Specific Influence of Preoperative Musculoskeletal Characteristics on Postoperative Outcomes in Lumbar Spinal Surgery: A Prospective Cohort Study
Published in World neurosurgery (17-11-2024)“…Lumbar spinal stenosis (LSS) often necessitates surgical intervention, with preoperative musculoskeletal health significantly influencing postoperative…”
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Pilot study of a single-channel EEG seizure detection algorithm using machine learning
Published in Child's nervous system (01-07-2021)“…Objective Seizures are one of the most common emergencies in the neonatal intensive care unit (NICU). They are identified through visual inspection of…”
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Clozapine-Induced Chemogenetic Neuromodulation Rescues Post-Stroke Deficits After Chronic Capsular Infarct
Published in Translational stroke research (01-08-2023)“…Long-term disabilities induced by stroke impose a heavy burden on patients, families, caregivers, and public health systems. Extensive studies have…”
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DEMENTIA PROGRESSION ASSESSMENT WITH MULTIMODAL IMAGING BIOMARKER DATA
Published in Alzheimer's & dementia (01-07-2018)Get full text
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P1‐463: DEMENTIA PROGRESSION ASSESSMENT WITH MULTIMODAL IMAGING BIOMARKER DATA
Published in Alzheimer's & dementia (01-07-2018)Get full text
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Long-Term Outcomes after Multimodal Treatment for Clival Chordoma: Efficacy of the Endonasal Transclival Approach with Early Adjuvant Radiation Therapy
Published in Journal of clinical medicine (03-07-2023)“…This study investigates the long-term outcomes of clival chordoma patients treated with the endonasal transclival approach (ETCA) and early adjuvant radiation…”
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Three-Dimensional Printed Mesh-Cage Replacement for a Metastatic Spinal Tumor and a Vertebral Compression Fracture: A Report of Two Cases
Published in The Nerve (31-10-2022)“…Harms mesh cages are commonly used in the treatment of metastatic spinal tumors by spondylectomy with cage insertion and posterior screw fixation. These cages…”
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Mild Cognitive Impairment Diagnosis Using Extreme Learning Machine Combined With Multivoxel Pattern Analysis on Multi-Biomarker Resting-State FMRI
Published in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2019)“…This paper proposed a classification framework that integrates hybrid multivoxel pattern analyses (MVPA) and extreme learning machine (ELM) for automated Mild…”
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