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Sungmin You

Showing results (1-10 of 14) with videos related to

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Computer Methods and Programs in Biomedicine|November 28, 2021
Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEGSungmin You, Baek Hwan Cho, Young-Min Shon, et al.
Frontiers in Neuroscience|June 17, 2026
Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRISeungyoon Jeong, Andrea Gondova, Hyuk Jin Yun, et al.
Computer Methods and Programs in Biomedicine|April 29, 2020
Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial networkSungmin You, Baek Hwan Cho, Soonhyun Yook, et al.
Sensors (Basel, Switzerland)|November 27, 2021
Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic StrokeHo Seok Lee, Hokyoung Ryu, Shi-Uk Lee, et al.
Frontiers in Neuroscience|June 14, 2024
Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-netSungmin You, Anette De Leon Barba, Valeria Cruz Tamayo, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 7, 2026
Typical development of the human fetal subplate: Regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRIAndrea Gondová, Jennings Zhang, Sungmin You, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Typical development of the human fetal subplate: regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRIAndrea Gondová, Jennings Zhang, Sungmin You, et al.
Sensors (Basel, Switzerland)|July 27, 2024
Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis ProgressionYong-Gyun Kim, Sungjoon Kim, Jae Hyeon Park, et al.
Computer Methods and Programs in Biomedicine|September 11, 2019
Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learningJoo Young Kim, Kyunghan Ro, Sungmin You, et al.
Neuroimage|September 5, 2025
Conditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brainSungmin You, Andrea Gondova, Carlos Simon Amador Izaguirre, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|November 28, 2021
Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEGSungmin You, Baek Hwan Cho, Young-Min Shon, et al.
Frontiers in Neuroscience|June 17, 2026
Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRISeungyoon Jeong, Andrea Gondova, Hyuk Jin Yun, et al.
Computer Methods and Programs in Biomedicine|April 29, 2020
Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial networkSungmin You, Baek Hwan Cho, Soonhyun Yook, et al.
Sensors (Basel, Switzerland)|November 27, 2021
Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic StrokeHo Seok Lee, Hokyoung Ryu, Shi-Uk Lee, et al.
Frontiers in Neuroscience|June 14, 2024
Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-netSungmin You, Anette De Leon Barba, Valeria Cruz Tamayo, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 7, 2026
Typical development of the human fetal subplate: Regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRIAndrea Gondová, Jennings Zhang, Sungmin You, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Typical development of the human fetal subplate: regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRIAndrea Gondová, Jennings Zhang, Sungmin You, et al.
Sensors (Basel, Switzerland)|July 27, 2024
Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis ProgressionYong-Gyun Kim, Sungjoon Kim, Jae Hyeon Park, et al.
Computer Methods and Programs in Biomedicine|September 11, 2019
Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learningJoo Young Kim, Kyunghan Ro, Sungmin You, et al.
Neuroimage|September 5, 2025
Conditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brainSungmin You, Andrea Gondova, Carlos Simon Amador Izaguirre, et al.
Pageof 2