Talks

Presentations

Conference presentations and invited talks. † denotes equal contribution, * denotes the corresponding author.

Conferences

Conference Presentations 31

  1. 2026

    pCoRev: Physics-informed contrastive learning for unsupervised reverberation artifact suppression in medical ultrasound imaging

    Kwon, Y., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  2. 2026

    Q-Gland: Quantitative glandular tissue characterization for ultrasound-based GTC assessment

    Kwon, Y., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  3. 2026

    Physics-embedded deconvolution flow for ultrasound scatter inversion and resolution enhancement

    Kwon, Y., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  4. 2026

    Hankel-matrix-based sparse compounding for enhancing twinkling artifact signals in low sensitivity Doppler imaging

    Lee, E., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  5. 2025

    EdgeSRIE: A hybrid deep-learning framework for real-time speckle reduction and image enhancement in portable ultrasound systems

    Cho, H., Lee, J., Kang, J., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

    Oral
  6. 2025

    DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system

    Kim, E., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  7. 2025

    DeepTAI: Deep learning-based twinkling artifact imaging for microcalcification detection in breast ultrasound

    Lee, J., Cho, H., Park, S., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  8. 2025

    A new compounding method using spatiotemporal features for twinkling artifact imaging

    Lee, E., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  9. 2025

    A new vector Doppler technique for cost-effective hemodynamic monitoring

    Yoo, J., Han, S., Park, S., Song, I., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  10. 2025

    DeepSVD: A deep learning based singular value decomposition for high-quality ultrasound perfusion imaging

    Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  11. 2025

    A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems

    Lee, J., Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  12. 2025

    Spatiotemporal singular value decomposition for ultrasound twinkling artifact imaging

    Lee, E., Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  13. 2025

    Self-supervised deconvolutional neural network for high-resolution ultrasound imaging: Preliminary results

    Kwon, Y., Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  14. 2025

    A new vector Doppler technique for cost-effective hemodynamic monitoring

    Yoo, J., Han, S., Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  15. 2025

    DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system

    Kim, E., Cho, H., & Yoo, Y.

    16th Int. Conf. on Ultrasound Engineering for Biomedical Applications (IC-UEBA)

  16. 2024

    Unsupervised domain adaptation method for deep learning-based speed-of-sound estimation

    Lee, J., Cho, H., & Yoo, Y.

    64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)

  17. 2024

    Genetically evolved efficient deep neural network for portable echocardiography devices

    Kim, E., Cho, H., & Yoo, Y.

    64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)

  18. 2024

    An unsupervised deep neural network for reverberation artifact reduction in medical ultrasound

    Cho, H., Kang, J., & Yoo, Y.

    IEEE UFFC Joint Symposium (UFFC-JS)

    Oral
  19. 2024

    An unsupervised deep clutter filter for high-quality ultrafast perfusion imaging

    Cho, H., Kang, J., & Yoo, Y.

    IEEE UFFC Joint Symposium (UFFC-JS)

    Oral
  20. 2024

    Unsupervised domain adaptation method for deep learning-based speed-of-sound estimation

    Lee, J., Cho, H., & Yoo, Y.

    IEEE UFFC Joint Symposium (UFFC-JS)

  21. 2024

    An unsupervised deep neural network for reverberation artifact reduction

    Cho, H., & Yoo, Y.

    16th Congress of the Asian Federation of Societies for Ultrasound in Medicine and Biology (AFSUMB)

    Oral
  22. 2023

    An unsupervised deep beamformer for high-quality ultrafast ultrasound imaging

    Cho, H., Kang, J., & Yoo, Y.

    19th World Federation for Ultrasound in Medicine and Biology Congress (WFUMB)

    Oral · Young Investigator Prize
  23. 2023

    Deep coherence learning: An unsupervised deep learning framework for high-quality plane wave imaging

    Cho, H., Kang, J., & Yoo, Y.

    International Symposium on Integrated Medical Solutions (iSims)

    Best Poster Award
  24. 2023

    A self-supervised learning framework for artifact-free high-quality plane wave imaging

    Cho, H., & Yoo, Y.

    54th Annual Congress of Korean Society of Ultrasound in Medicine (KSUM)

    Oral · Young Investigator Award (Gold)
  25. 2023

    Deep coherence learning: An unsupervised deep learning framework for high-quality single plane wave imaging

    Cho, H., Park, S., Kang, J., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

    Oral
  26. 2023

    Automated ultrasound bladder volume measurement system based on lightweight deep learning network on point-of-care (POC) device

    Cho, S., Cho, H., Jang, J., Song, I., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  27. 2023

    Hardware-accelerated lightweight deep learning model for automatic cardiac parameter measurement on low-resource portable devices

    Kim, D., Cho, H., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  28. 2022

    Residual CNN based angular compounding for high-quality plane wave imaging

    Cho, H., Jang, J., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  29. 2022

    A real-time color Doppler ultrasound imaging system on a single system-on-chip solution with single instruction multiple data optimization

    Park, S., Cho, H., Kim, Y., Song, I., Jang, J., Kim, J., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  30. 2022

    Automated bladder volume measurement system using a T-shaped cross-array ultrasound probe

    Park, D., Cho, H., Song, I., Jang, J., Kim, J., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

  31. 2020

    CNN-based semantic segmentation networks for multiple fetal biometric measurements

    Cho, H., Kang, J., Chang, S., & Yoo, Y.

    IEEE International Ultrasonics Symposium (IUS)

Invited

Invited Talks 6

  1. 2026

    Deep learning based medical imaging: Current limitations and future directions

    Kyungpook National University, Daegu, Republic of Korea · May 2026

  2. 2025

    Recent advances in deep learning driven medical ultrasound imaging

    The Catholic University of Korea, Bucheon, Republic of Korea · Nov 2025

  3. 2025

    Unsupervised deep neural networks for high-quality ultrasound imaging

    Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea · Jan 2025

  4. 2024

    Recent advances in deep learning-driven medical imaging

    The Catholic University of Korea, Bucheon, Republic of Korea · May 2024

  5. 2024

    Medical imaging with deep learning

    College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea · Jan 2024

  6. 2023

    Specialized computer architectures for deep neural networks

    Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea · Dec 2023