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IEEE Transactions on Cybernetics
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December 12, 2018
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
Ue-Hwan Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
September 4, 2019
Recurrent Reconstructive Network for Sequential Anomaly Detection
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
Frontiers in Aging Neuroscience
|
May 1, 2023
Vision transformers for the prediction of mild cognitive impairment to Alzheimer's disease progression using mid-sagittal sMRI
Gia Minh Hoang, Ue-Hwan Kim, Jae Gwan Kim
IEEE Transactions on Cybernetics
|
December 4, 2019
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 6, 2020
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
November 24, 2020
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
August 20, 2019
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, et al.
Skeletal Radiology
|
November 23, 2023
Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI
Ue-Hwan Kim, Hyo Jin Kim, Jiwoon Seo, et al.
Korean Journal of Radiology
|
August 25, 2021
Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs
Ue-Hwan Kim, Moon Young Kim, Eun-Ah Park, et al.
Journal of Medical Internet Research
|
August 23, 2023
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, et al.
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of 2
Search research articles
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Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Cybernetics
|
December 12, 2018
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
Ue-Hwan Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
September 4, 2019
Recurrent Reconstructive Network for Sequential Anomaly Detection
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
Frontiers in Aging Neuroscience
|
May 1, 2023
Vision transformers for the prediction of mild cognitive impairment to Alzheimer's disease progression using mid-sagittal sMRI
Gia Minh Hoang, Ue-Hwan Kim, Jae Gwan Kim
IEEE Transactions on Cybernetics
|
December 4, 2019
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 6, 2020
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
November 24, 2020
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
IEEE Transactions on Cybernetics
|
August 20, 2019
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, et al.
Skeletal Radiology
|
November 23, 2023
Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI
Ue-Hwan Kim, Hyo Jin Kim, Jiwoon Seo, et al.
Korean Journal of Radiology
|
August 25, 2021
Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs
Ue-Hwan Kim, Moon Young Kim, Eun-Ah Park, et al.
Journal of Medical Internet Research
|
August 23, 2023
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, et al.
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of 2