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Effect of active learning and online discussions on the academic performances of dental students

BMC medical education, 2022-04, Vol.22 (1), p.312-312, Article 312

2022

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Design for additive manufacturing in customized products

International journal of precision engineering and manufacturing, 2015-10, Vol.16 (11), p.2369-2375

2015

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Analyzing Facial and Eye Movements to Screen for Alzheimer's Disease

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5349

2020

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Beta‐amyloid regions related to amyloid positivity using a feature selection method

Alzheimer's & dementia, 2023-06, Vol.19 (S3), p.n/a

Ko, Hyunwoong

2023

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Beta‐amyloid regions related to amyloid positivity using a feature selection method

Alzheimer's & dementia, 2022-12, Vol.18 (S1), p.n/a

Ko, Hyunwoong

2022

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Facial Expressions Track Depressive Symptoms in Old Age

Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7080

2023

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Learning vector quantization model for prediction of cerebral Aβ in non‐demented individuals using plasma biomarkers

Alzheimer's & dementia, 2021-12, Vol.17 (S1), p.n/a

Ko, Hyunwoong

2021

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Leveraging genetic overlap between irritability and psychiatric disorders to identify genetic variants of major psychiatric disorders

Experimental and Molecular Medicine, 2023, 55(0), , pp.1193-1202

2023

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Differences in Facial Expressions between Spontaneous and Posed Smiles: Automated Method by Action Units and Three-Dimensional Facial Landmarks

Sensors (Basel, Switzerland), 2020-02, Vol.20 (4), p.1199

2020

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Changes in Computer-Analyzed Facial Expressions with Age

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4858

2021

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Cognitive Profiling Related to Cerebral Amyloid Beta Burden Using Machine Learning Approaches

Frontiers in aging neuroscience, 2019-04, Vol.11, p.95-95

2019

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Optimization of voice biomarkers to predict Alzheimer’s disease

Alzheimer's & dementia, 2023-12, Vol.19 (S15), p.n/a

2023

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Active learning through discussion: ICAP framework for education in health professions

BMC medical education, 2019-12, Vol.19 (1), p.477-477, Article 477

2019

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Erratum: A Comparison Between the Performances of Verbal and Nonverbal Fluency Tests in Discriminating Between Mild Cognitive Impairments and Alzheimer’s Disease Patients and Their Brain Morphological Correlates

Dementia and neurocognitive disorders, 2023-04, Vol.22 (2), p.85-85

2023

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A Comparison Between the Performances of Verbal and Nonverbal Fluency Tests in Discriminating Between Mild Cognitive Impairments and Alzheimer’s Disease Patients and Their Brain Morphological Correlates

Dementia and Neurocognitive Disorders(대한치매학회지), 2022, 21(1), 65, pp.17-29

2022

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Exploring a Cost-Efficient Model for Predicting Cerebral Aβ Burden Using MRI and Neuropsychological Markers in the ADNI-2 Cohort

Journal of personalized medicine, 2020-10, Vol.10 (4), p.197

2020

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A cost‐efficient model for predicting cerebral Aβ burden using MRI and neuropsychological markers in the ADNI‐2 cohort

Alzheimer's & dementia, 2020-12, Vol.16, p.n/a

2020

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A cost‐efficient model for predicting cerebral Aβ burden using MRI and neuropsychological markers in the ADNI‐2 cohort: Neuroimaging / differential diagnosis

Alzheimer's & dementia, 2020-12, Vol.16 (S5)

2020

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Applications and prospects of machine learning for aerosol jet printing: A review

IIE transactions, 2024-10, Vol.56 (10), p.1038-1057

2024

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Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing

Journal of manufacturing systems, 2023-06, Vol.68, p.117-129

2023

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Machine learning and knowledge graph based design rule construction for additive manufacturing

Additive manufacturing, 2021-01, Vol.37, p.101620, Article 101620

2021

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An integration of function- and affordance-based methods for product-service system utilizing finite state automata

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2016, p.577-581

2016

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MACHINE LEARNING APPROACHES FOR IDENTIFYING AMYLOID POSITIVITY BASED ON NEUROPSYCHOLOGICAL TEST PERFORMANCE WITH DEMOGRAPHICS IN NONDEMENTED POPULATION

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P928-P929

2018

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P2‐510: MACHINE LEARNING APPROACHES FOR IDENTIFYING AMYLOID POSITIVITY BASED ON NEUROPSYCHOLOGICAL TEST PERFORMANCE WITH DEMOGRAPHICS IN NONDEMENTED POPULATION

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_17), p.P928-P929

2018

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A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing

Journal of manufacturing systems, 2023-04, Vol.67, p.213-228

2023

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Effect of active learning and online discussions on the academic performances of dental students

Design for additive manufacturing in customized products

Analyzing Facial and Eye Movements to Screen for Alzheimer's Disease

Beta‐amyloid regions related to amyloid positivity using a feature selection method

Beta‐amyloid regions related to amyloid positivity using a feature selection method

Facial Expressions Track Depressive Symptoms in Old Age

Learning vector quantization model for prediction of cerebral Aβ in non‐demented individuals using plasma biomarkers

Leveraging genetic overlap between irritability and psychiatric disorders to identify genetic variants of major psychiatric disorders

Differences in Facial Expressions between Spontaneous and Posed Smiles: Automated Method by Action Units and Three-Dimensional Facial Landmarks

Changes in Computer-Analyzed Facial Expressions with Age

Cognitive Profiling Related to Cerebral Amyloid Beta Burden Using Machine Learning Approaches

Optimization of voice biomarkers to predict Alzheimer’s disease

Active learning through discussion: ICAP framework for education in health professions

Erratum: A Comparison Between the Performances of Verbal and Nonverbal Fluency Tests in Discriminating Between Mild Cognitive Impairments and Alzheimer’s Disease Patients and Their Brain Morphological Correlates

A Comparison Between the Performances of Verbal and Nonverbal Fluency Tests in Discriminating Between Mild Cognitive Impairments and Alzheimer’s Disease Patients and Their Brain Morphological Correlates

Exploring a Cost-Efficient Model for Predicting Cerebral Aβ Burden Using MRI and Neuropsychological Markers in the ADNI-2 Cohort

A cost‐efficient model for predicting cerebral Aβ burden using MRI and neuropsychological markers in the ADNI‐2 cohort

A cost‐efficient model for predicting cerebral Aβ burden using MRI and neuropsychological markers in the ADNI‐2 cohort: Neuroimaging / differential diagnosis

Applications and prospects of machine learning for aerosol jet printing: A review

Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing

Machine learning and knowledge graph based design rule construction for additive manufacturing

An integration of function- and affordance-based methods for product-service system utilizing finite state automata

MACHINE LEARNING APPROACHES FOR IDENTIFYING AMYLOID POSITIVITY BASED ON NEUROPSYCHOLOGICAL TEST PERFORMANCE WITH DEMOGRAPHICS IN NONDEMENTED POPULATION

P2‐510: MACHINE LEARNING APPROACHES FOR IDENTIFYING AMYLOID POSITIVITY BASED ON NEUROPSYCHOLOGICAL TEST PERFORMANCE WITH DEMOGRAPHICS IN NONDEMENTED POPULATION

A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing

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