Rong Hu

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A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography

Jaeik Jeon;Jiyeon Kim;Yeonggul Jang;Yeonyee E. Yoon;Dawun Jeong;Youngtaek Hong;Seung-Ah Lee;Hyuk-Jae Chang

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography

Jaeik Jeon;Jiyeon Kim;Yeonggul Jang;Yeonyee E. Yoon;Dawun Jeong;Youngtaek Hong;Seung-Ah Lee;Hyuk-Jae Chang

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Year: 2024 | Conference Paper |

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram

Yeonggul Jang;Juyeong Jung;Youngtaek Hong;Jina Lee;Hyunseok Jeong;Hackjoon Shim;Hyuk-Jae Chang

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Volume: 28, Issue: 12 | Journal Article |

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Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram

Yeonggul Jang;Juyeong Jung;Youngtaek Hong;Jina Lee;Hyunseok Jeong;Hackjoon Shim;Hyuk-Jae Chang

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Volume: 28, Issue: 12 | Journal Article |

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Sekeun Kim;Zhenxiang Jiang;Byron A. Zambrano;Yeonggul Jang;Seungik Baek;Sunkook Yoo;Hyuk-Jae Chang

IEEE Transactions on Medical Imaging

Year: 2023 | Volume: 42, Issue: 1 | Journal Article |

Cited by: Papers (14)

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Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Sekeun Kim;Zhenxiang Jiang;Byron A. Zambrano;Yeonggul Jang;Seungik Baek;Sunkook Yoo;Hyuk-Jae Chang

IEEE Transactions on Medical Imaging

Year: 2023 | Volume: 42, Issue: 1 | Journal Article |

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Kyeongjin Ann;Yeonggul Jang;Hackjoon Shim;Hyuk-Jae Chang

IEEE Access

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (6)

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Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Kyeongjin Ann;Yeonggul Jang;Hackjoon Shim;Hyuk-Jae Chang

IEEE Access

Year: 2021 | Volume: 9 | Journal Article |

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Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Sunghee Jung;Soochahn Lee;Byunghwan Jeon;Yeonggul Jang;Hyuk-Jae Chang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (14)

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Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Sunghee Jung;Soochahn Lee;Byunghwan Jeon;Yeonggul Jang;Hyuk-Jae Chang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky;Xin Yang;Pheng-Ann Heng;Irem Cetin;Karim Lekadir;Oscar Camara;Miguel Angel Gonzalez Ballester;Gerard Sanroma;Sandy Napel;Steffen Petersen;Georgios Tziritas;Elias Grinias;Mahendra Khened;Varghese Alex Kollerathu;Ganapathy Krishnamurthi;Marc-Michel Rohé;Xavier Pennec;Maxime Sermesant;Fabian Isensee;Paul Jäger;Klaus H. Maier-Hein;Peter M. Full;Ivo Wolf;Sandy Engelhardt;Christian F. Baumgartner;Lisa M. Koch;Jelmer M. Wolterink;Ivana Išgum;Yeonggul Jang;Yoonmi Hong;Jay Patravali;Shubham Jain;Olivier Humbert;Pierre-Marc Jodoin

IEEE Transactions on Medical Imaging

Year: 2018 | Volume: 37, Issue: 11 | Journal Article |

Cited by: Papers (1176)

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Coronary luminal and wall mask prediction using convolutional neural network

Y. Hong;Y-M. Hong;Y. Jang;S. Kim;B. Jeon;S. Jung;S. Ha;D. Han;H. Shim;H. J. Chang

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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Coronary luminal and wall mask prediction using convolutional neural network

Y. Hong;Y-M. Hong;Y. Jang;S. Kim;B. Jeon;S. Jung;S. Ha;D. Han;H. Shim;H. J. Chang

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

Year: 2017 | Conference Paper |

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Rong Hu

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A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography

A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Coronary luminal and wall mask prediction using convolutional neural network

Coronary luminal and wall mask prediction using convolutional neural network

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Rong Hu

Rong Hu

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Publication Topics

Biography

Showing 1-8 of 8 results

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