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Sejung Yang

Showing results (21-30 of 56) with videos related to

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Cancers|April 14, 2026
From Pixels to Prediction: Developing Integrated AI Foundation Models for Personalized Thyroid Cancer CareJae Hyun Park, Younghyun Park, Yong Moon Lee, et al.
Frontiers in Pain Research (Lausanne, Switzerland)|July 22, 2025
Classifying office workers with and without cervicogenic headache or neck and shoulder pain using posture-based deep learning models: a multicenter retrospective studyUi-Jae Hwang, Junghun Han, Oh-Yun Kwon, et al.
Retina (Philadelphia, Pa.)|July 25, 2022
DEEP LEARNING-BASED PREDICTION OF OUTCOMES FOLLOWING NONCOMPLICATED EPIRETINAL MEMBRANE SURGERYSoo Han Kim, Honggi Ahn, Sejung Yang, et al.
Sensors (Basel, Switzerland)|September 9, 2023
Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin TumorsHyunwoo Lee, Yerin Lee, Seung-Won Jung, et al.
Yonsei Medical Journal|January 18, 2022
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-AnalysisSolam Lee, Yuseong Chu, Jiseung Ryu, et al.
Neurorehabilitation|March 21, 2022
Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic strokeJiwon Shin, HongGi An, Sejung Yang, et al.
Plos One|June 8, 2023
CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiographyJi Seung Ryu, Solam Lee, Yuseong Chu, et al.
Scientific Reports|June 29, 2026
Classification of functional movement screening scores and reported fall-incident history from deep squat videos among logistics service workers using deep learningUi-Jae Hwang, Yusung Chu, Oh-Yun Kwon, et al.
Sensors (Basel, Switzerland)|October 26, 2021
Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in ChildrenDong-Wook Kim, Hong-Gi Ahn, Jeeyoung Kim, et al.
Plos One|March 8, 2018
Acral melanoma detection using a convolutional neural network for dermoscopy imagesChanki Yu, Sejung Yang, Wonoh Kim, et al.
Pageof 6

Showing results (21-30 of 56) with videos related to

Sort By:
Pageof 6
Cancers|April 14, 2026
From Pixels to Prediction: Developing Integrated AI Foundation Models for Personalized Thyroid Cancer CareJae Hyun Park, Younghyun Park, Yong Moon Lee, et al.
Frontiers in Pain Research (Lausanne, Switzerland)|July 22, 2025
Classifying office workers with and without cervicogenic headache or neck and shoulder pain using posture-based deep learning models: a multicenter retrospective studyUi-Jae Hwang, Junghun Han, Oh-Yun Kwon, et al.
Retina (Philadelphia, Pa.)|July 25, 2022
DEEP LEARNING-BASED PREDICTION OF OUTCOMES FOLLOWING NONCOMPLICATED EPIRETINAL MEMBRANE SURGERYSoo Han Kim, Honggi Ahn, Sejung Yang, et al.
Sensors (Basel, Switzerland)|September 9, 2023
Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin TumorsHyunwoo Lee, Yerin Lee, Seung-Won Jung, et al.
Yonsei Medical Journal|January 18, 2022
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-AnalysisSolam Lee, Yuseong Chu, Jiseung Ryu, et al.
Neurorehabilitation|March 21, 2022
Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic strokeJiwon Shin, HongGi An, Sejung Yang, et al.
Plos One|June 8, 2023
CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiographyJi Seung Ryu, Solam Lee, Yuseong Chu, et al.
Scientific Reports|June 29, 2026
Classification of functional movement screening scores and reported fall-incident history from deep squat videos among logistics service workers using deep learningUi-Jae Hwang, Yusung Chu, Oh-Yun Kwon, et al.
Sensors (Basel, Switzerland)|October 26, 2021
Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in ChildrenDong-Wook Kim, Hong-Gi Ahn, Jeeyoung Kim, et al.
Plos One|March 8, 2018
Acral melanoma detection using a convolutional neural network for dermoscopy imagesChanki Yu, Sejung Yang, Wonoh Kim, et al.
Pageof 6