Research Papers Google Scholar

Peer-reviewed journal papers

Cho, H., Lee, J., Park, D., Chang, J., Jang, J., & Yoo, Y. (2025). Intravascular ultrasound imaging with directional synthetic aperture focusing and coherence factor weighting. Ultrasonography, In press.
Cho, H., Lee, J., Park, S., & Yoo, Y. (2025). Numerical investigation of optimal transmission-reception conditions for aliasing-free ultrasound localization microscopy. Ultrasonics, 154, 107704. (2024-JCR-IF: 4.1, Top 11.0% in Acoustics). Link
Park, D.†, Cho, H.†, Song, I., Jang, J., & Yoo, Y. (2025). Fully automated bladder volume measurement system using a T-shaped ultrasound probe and free-hand motion-based 3D reconstruction. IEEE Access, 13, 80247. †: Co-first authorship Link
Park, S.†, Cho, H.†, Lee, K., & Yoon, H. (2025). Deep learning model for CT-based adrenal gland volume determination and normal reference definition in dogs. Pakistan Veterinary Journal, 45(1), 320. (2024-JCR-JF: 5.4, Top 2.1% in Veterinary Sciences). †: Co-first authorship Link
Park, J.†, Cho, H.†, Ji, Y., Lee, K., & Yoon, H. (2024). Development of a deep learning model for automatic detection of narrowed intervertebral disc space sites in caudal thoracic and lumbar lateral X-ray images of dogs. Frontiers in Veterinary Science, 11, 1453765. (2023-JCR-IF: 2.6, Top 12.9% in Veterinary Sciences) †: Co-first authorship Link
Cho, H., Park, S., Kang, J., & Yoo, Y. (2024). Deep coherence learning: An unsupervised deep beamformer for high quality single plane wave imaging in medical ultrasound. Ultrasonics, 143, 107408. (2023-JCR-IF: 3.8, Top 11.2% in Acoustics) Link
Park, J.†, Cho, H.†, Ji, Y., Lee, K., & Yoon, H. (2024). Detection of spondylosis deformans in thoracolumbar and lumbar lateral X-ray images of dogs using a deep learning network. Frontiers in Veterinary Science, 11, 1334438. (2023-JCR-IF: 2.6, Top 12.9% in Veterinary Sciences) †: Co-first authorship Link
Cho, H., Kim, D., Chang, S., Kang, J., & Yoo, Y. (2024). A system-on-chip solution for deep learning-based automatic fetal biometric measurement. Expert Systems with Applications, 237, 121482. (2023-JCR-IF: 7.5, Top 7.0% in Engineering, Electrical & Electronic) Link
Cho, H., Song, I., Jang, J., & Yoo, Y. (2023). A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study. Bioengineering, 10(5), 525. Link
Ji, Y., Cho, H., Seon, S., Lee, K., & Yoon, H. (2022). A deep learning model for CT-based kidney volume determination in dogs and normal reference definition. Frontiers in Veterinary Science, 9, 1011804. Link
Cho, H., Kil, E., Jang, J., Kang, J., Song, I., & Yoo, Y. (2022). Air-Coupled Ultrasound Sealing Integrity Inspection Using Leaky Lamb Waves in a Simplified Model of a Lithium-Ion Pouch Battery: Feasibility Study. Sensors, 22(17), 6718. Link

Under-review and preprints

Cho, H., Lee, J., Kang, J., & Yoo, Y. (2025). EdgeSRIE: A hybrid deep-learning framework for real-time speckle reduction and image enhancement in portable ultrasound systems. Link
Three more papers are currently under review.

Conferences and Presentations

Cho, H., Yoo, Y. (2025). DeepSVD: A deep learning based singular value decomposition for high-quality ultrasound perfusion imaging. The 16th International Conference on Ultrasound Engineering for Biomedical Applications (IC-UEBA).

Lee, J., Cho, H., & Yoo, Y. (2025). A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems. The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA).

Lee, E., Cho, H., & Yoo, Y. (2025). Spatiotemporal singular value decomposition for ultrasound twinkling artifact imaging. The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA).

Kwon, Y., Cho, H., Yoo, Y. (2025). Self-supervised deconvolutional neural network for high-resolution ultrasound imaging: Preliminary results. The 16th International Conference on Ultrasound Engineering for Biomedical Applications (IC-UEBA).

Yoo, J., Han, S., Cho, H., & Yoo, Y. (2025). A new vector Doppler technique for cost-effective hemodynamic monitoring. The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA).

Kim, E., Cho, H., & Yoo, Y. (2025). DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system. The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA).

Lee, J., Cho, H., & Yoo, Y. (2024). Unsupervised Domain Adaptation Method for Deep Learning Based Speed-of-Sound Estimation. The 64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE).

Kim, E., Cho, H., & Yoo, Y. (2024). Genetically Evolved Efficient Deep Neural Network for Portable Echocardiography Devices. The 64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE).

Cho, H., Kang, J., & Yoo, Y. (2024). An Unsupervised Deep Neural Network for Reverberation Artifact Reduction in Medical Ultrasound. IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). Oral presentation

Cho, H., Kang, J., & Yoo, Y. (2024). An Unsupervised Deep Clutter Filter for High-Quality Ultrafast Perfusion Imaging. IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). Oral presentation

Lee, J., Cho, H., & Yoo, Y. (2024). Unsupervised Domain Adaptation Method for Deep Learning Based Speed-of-Sound Estimation. IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS).

Cho, H., & Yoo, Y. (2024). An Unsupervised Deep Neural Network for Reverberation Artifact Reduction. The 16th Congress of the Asian Federation of Societies for Ultrasound in Medicine and Biology (AFSUMB). Oral presentation

Cho, H., Kang, J., & Yoo, Y. (2023). An Unsupervised Deep Beamformer for High-Quality Ultrafast Ultrasound Imaging. The 19th World Federation for Ultrasound in Medicine and Biology Congress (WFUMB). Oral presentation

Cho, H., Kang, J., & Yoo, Y. (2023). Deep Coherence Learning: An Unsupervised Deep Learning Framework for High-Quality Plane Wave Imaging. International Symposium on Integrated Medical Solutions (iSims). Poster presentation

Cho, H., & Yoo, Y. (2023). A Self-Supervised Learning Framework for Artifact-Free High-Quality Plane Wave Imaging. The 54th Annual Congress of Korean Society of Ultrasound in Medicine (KSUM). Oral presentation

Cho, H., Park, S., Kang, J., & Yoo, Y. (2023). Deep Coherence Learning: an Unsupervised Deep Learning Framework for High-Quality Plane Wave Imaging. IEEE International Ultrasonics Symposium (IUS). Oral presentation

Cho, S., Cho, H., Jang, J., Song, I., & Yoo, Y. (2023). Automated Ultrasound Bladder Volume Measurement System Based on Lightweight Deep Learning Network on Point-of-Care (POC) Device. IEEE International Ultrasonics Symposium (IUS).

Kim, D., Cho, H., & Yoo, Y. (2023). Hardware-Accelerated Lightweight Deep Learning Model for Automatic Cardiac Parameter Measurement on Low-Resource Portable Devices. IEEE International Ultrasonics Symposium (IUS).

Cho, H., Jang, J., & Yoo, Y. (2022). Residual CNN based Angular Compounding for High-quality Plane Wave Imaging. IEEE International Ultrasonics Symposium (IUS). Poster presentation

Park, S., Cho, H., Kim Y., Song, I., Jang, J., Kim, J., & Yoo, Y. (2022). 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).

Park, D., Cho, H., Song, I., Jang, J., Kim, J., & Yoo, Y. (2022). Automated Bladder Volume Measurement System Using a T-Shaped Cross-Array Ultrasound Probe. IEEE International Ultrasonics Symposium (IUS).

Cho, H., Kang, J., Chang, S., & Yoo, Y. (2020). CNN-Based Semantic Segmentation Networks for Multiple Fetal Biometric Measurements. IEEE International Ultrasonics Symposium (IUS). Poster presentation