Presentations
Conference presentations and invited talks. † denotes equal contribution, * denotes the corresponding author.
Conference Presentations 31
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pCoRev: Physics-informed contrastive learning for unsupervised reverberation artifact suppression in medical ultrasound imaging
IEEE International Ultrasonics Symposium (IUS)
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Q-Gland: Quantitative glandular tissue characterization for ultrasound-based GTC assessment
IEEE International Ultrasonics Symposium (IUS)
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Physics-embedded deconvolution flow for ultrasound scatter inversion and resolution enhancement
IEEE International Ultrasonics Symposium (IUS)
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Hankel-matrix-based sparse compounding for enhancing twinkling artifact signals in low sensitivity Doppler imaging
IEEE International Ultrasonics Symposium (IUS)
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EdgeSRIE: A hybrid deep-learning framework for real-time speckle reduction and image enhancement in portable ultrasound systems
IEEE International Ultrasonics Symposium (IUS)
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DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system
IEEE International Ultrasonics Symposium (IUS)
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DeepTAI: Deep learning-based twinkling artifact imaging for microcalcification detection in breast ultrasound
IEEE International Ultrasonics Symposium (IUS)
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A new compounding method using spatiotemporal features for twinkling artifact imaging
IEEE International Ultrasonics Symposium (IUS)
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A new vector Doppler technique for cost-effective hemodynamic monitoring
IEEE International Ultrasonics Symposium (IUS)
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DeepSVD: A deep learning based singular value decomposition for high-quality ultrasound perfusion imaging
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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Spatiotemporal singular value decomposition for ultrasound twinkling artifact imaging
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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Self-supervised deconvolutional neural network for high-resolution ultrasound imaging: Preliminary results
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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A new vector Doppler technique for cost-effective hemodynamic monitoring
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system
16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
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Unsupervised domain adaptation method for deep learning-based speed-of-sound estimation
64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)
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Genetically evolved efficient deep neural network for portable echocardiography devices
64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)
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An unsupervised deep neural network for reverberation artifact reduction in medical ultrasound
IEEE UFFC Joint Symposium (UFFC-JS)
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An unsupervised deep clutter filter for high-quality ultrafast perfusion imaging
IEEE UFFC Joint Symposium (UFFC-JS)
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Unsupervised domain adaptation method for deep learning-based speed-of-sound estimation
IEEE UFFC Joint Symposium (UFFC-JS)
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An unsupervised deep neural network for reverberation artifact reduction
16th Congress of the Asian Federation of Societies for Ultrasound in Medicine and Biology (AFSUMB)
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An unsupervised deep beamformer for high-quality ultrafast ultrasound imaging
19th World Federation for Ultrasound in Medicine and Biology Congress (WFUMB)
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Deep coherence learning: An unsupervised deep learning framework for high-quality plane wave imaging
International Symposium on Integrated Medical Solutions (iSims)
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A self-supervised learning framework for artifact-free high-quality plane wave imaging
54th Annual Congress of Korean Society of Ultrasound in Medicine (KSUM)
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Deep coherence learning: An unsupervised deep learning framework for high-quality single plane wave imaging
IEEE International Ultrasonics Symposium (IUS)
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Automated ultrasound bladder volume measurement system based on lightweight deep learning network on point-of-care (POC) device
IEEE International Ultrasonics Symposium (IUS)
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Hardware-accelerated lightweight deep learning model for automatic cardiac parameter measurement on low-resource portable devices
IEEE International Ultrasonics Symposium (IUS)
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Residual CNN based angular compounding for high-quality plane wave imaging
IEEE International Ultrasonics Symposium (IUS)
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A real-time color Doppler ultrasound imaging system on a single system-on-chip solution with single instruction multiple data optimization
IEEE International Ultrasonics Symposium (IUS)
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Automated bladder volume measurement system using a T-shaped cross-array ultrasound probe
IEEE International Ultrasonics Symposium (IUS)
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CNN-based semantic segmentation networks for multiple fetal biometric measurements
IEEE International Ultrasonics Symposium (IUS)
Invited Talks 7
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Label-efficient medical image analysis with tabular foundation models
The 13th Asian Pacific Conference on Medical & Biological Engineering, Daegu, Republic of Korea
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Deep learning based medical imaging: Current limitations and future directions
Kyungpook National University, Daegu, Republic of Korea
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Recent advances in deep learning driven medical ultrasound imaging
The Catholic University of Korea, Bucheon, Republic of Korea
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Unsupervised deep neural networks for high-quality ultrasound imaging
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea
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Recent advances in deep learning-driven medical imaging
The Catholic University of Korea, Bucheon, Republic of Korea
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Medical imaging with deep learning
College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea
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Specialized computer architectures for deep neural networks
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea