Peer-Reviewed Journal Papers
First Author
Cho, H., Lee, J., Park, D., Chang, J., Jang, J., & Yoo, Y.
Intravascular ultrasound imaging with directional synthetic aperture focusing and coherence factor weighting
Ultrasonography, In press.
2025
First Author
JCR Top 11%
Cho, H., Lee, J., Park, S., & Yoo, Y.
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
View Paper
2025
Co-first Author
JCR Top 2%
Park, D., Cho, H., Song, I., Jang, J., & Yoo, Y.
Fully automated bladder volume measurement system using a T-shaped ultrasound probe and free-hand motion-based 3D reconstruction
IEEE Access, 13, 80247.
2024-JCR-IF: 5.4 | Top 2.1% in Veterinary Sciences
View Paper
2025
Co-first Author
JCR Top 2%
Park, S., Cho, H., Lee, K., & Yoon, H.
Deep learning model for CT-based adrenal gland volume determination and normal reference definition in dogs
Pakistan Veterinary Journal, 45(1), 320.
2024-JCR-IF: 5.4 | Top 2.1% in Veterinary Sciences
View Paper
2025
Co-first Author
JCR Top 13%
Park, J., Cho, H., Ji, Y., Lee, K., & Yoon, H.
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
View Paper
2024
First Author
JCR Top 11%
Cho, H., Park, S., Kang, J., & Yoo, Y.
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
View Paper
2024
Co-first Author
JCR Top 13%
Park, J., Cho, H., Ji, Y., Lee, K., & Yoon, H.
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
View Paper
2024
First Author
JCR Top 7%
Cho, H., Kim, D., Chang, S., Kang, J., & Yoo, Y.
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
View Paper
2024
First Author
Cho, H., Song, I., Jang, J., & Yoo, Y.
A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study
Bioengineering, 10(5), 525.
View Paper
2023
Co-author
Ji, Y., Cho, H., Seon, S., Lee, K., & Yoon, H.
A deep learning model for CT-based kidney volume determination in dogs and normal reference definition
Frontiers in Veterinary Science, 9, 1011804.
View Paper
2022
First Author
Cho, H., Kil, E., Jang, J., Kang, J., Song, I., & Yoo, Y.
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.
View Paper
2022
Conference Presentations
2025
Cho, H., Lee, J., Kang, J., & Yoo, Y. EdgeSRIE: A hybrid deep-learning framework for real-time speckle reduction and image enhancement in portable ultrasound systems.
IEEE International Ultrasonics Symposium (IUS)
Oral Presentation
2025
Kim, E., Cho, H., & Yoo, Y. DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system.
IEEE International Ultrasonics Symposium (IUS)
2025
Lee, J., Cho, H., Park, S., & Yoo, Y. DeepTAI: Deep learning-based twinkling artifact imaging for microcalcification detection in breast ultrasound.
IEEE International Ultrasonics Symposium (IUS)
2025
Lee, E., Cho, H., Yoo, Y. A new compounding method using spatiotemporal features for twinkling artifact imaging.
IEEE International Ultrasonics Symposium (IUS)
2025
Yoo, J., Han, S., Park, S., Song, I., Cho, H., & Yoo, Y. A new vector Doppler technique for cost-effective hemodynamic monitoring.
IEEE International Ultrasonics Symposium (IUS)
2025
Cho, H., Yoo, Y. 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)
2025
Lee, J., Cho, H., & Yoo, Y. 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)
2025
Lee, E., Cho, H., & Yoo, Y. Spatiotemporal singular value decomposition for ultrasound twinkling artifact imaging.
The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA)
2025
Kwon, Y., Cho, H., Yoo, Y. Self-supervised deconvolutional neural network for high-resolution ultrasound imaging: Preliminary results.
The 16th International Conference on Ultrasound Engineering for Biomedical Applications (IC-UEBA)
2025
Yoo, J., Han, S., Cho, H., & Yoo, Y. A new vector Doppler technique for cost-effective hemodynamic monitoring.
The 16th International Conference on Ultrasound Engineering for Biomedical Application (IC-UEBA)
2025
Kim, E., Cho, H., & Yoo, Y. 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)
2024
Lee, J., Cho, H., & Yoo, Y. Unsupervised Domain Adaptation Method for Deep Learning Based Speed-of-Sound Estimation.
The 64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)
2024
Kim, E., Cho, H., & Yoo, Y. Genetically Evolved Efficient Deep Neural Network for Portable Echocardiography Devices.
The 64th Congress of the Korean Society of Medical & Biological Engineering (KOSOMBE)
2024
Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Neural Network for Reverberation Artifact Reduction in Medical Ultrasound.
IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)
Oral Presentation
2024
Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Clutter Filter for High-Quality Ultrafast Perfusion Imaging.
IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)
Oral Presentation
2024
Lee, J., Cho, H., & Yoo, Y. Unsupervised Domain Adaptation Method for Deep Learning Based Speed-of-Sound Estimation.
IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)
2024
Cho, H., & Yoo, Y. 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
2023
Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Beamformer for High-Quality Ultrafast Ultrasound Imaging.
The 19th World Federation for Ultrasound in Medicine and Biology Congress (WFUMB)
Oral Presentation
2023
Cho, H., Kang, J., & Yoo, Y. Deep Coherence Learning: An Unsupervised Deep Learning Framework for High-Quality Plane Wave Imaging.
International Symposium on Integrated Medical Solutions (iSims)
2023
Cho, H., & Yoo, Y. 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
2023
Cho, H., Park, S., Kang, J., & Yoo, Y. Deep Coherence Learning: an Unsupervised Deep Learning Framework for High-Quality Plane Wave Imaging.
IEEE International Ultrasonics Symposium (IUS)
Oral Presentation
2023
Cho, S., Cho, H., Jang, J., Song, I., & Yoo, Y. Automated Ultrasound Bladder Volume Measurement System Based on Lightweight Deep Learning Network on Point-of-Care (POC) Device.
IEEE International Ultrasonics Symposium (IUS)
2023
Kim, D., Cho, H., & Yoo, Y. Hardware-Accelerated Lightweight Deep Learning Model for Automatic Cardiac Parameter Measurement on Low-Resource Portable Devices.
IEEE International Ultrasonics Symposium (IUS)
2022
Cho, H., Jang, J., & Yoo, Y. Residual CNN based Angular Compounding for High-quality Plane Wave Imaging.
IEEE International Ultrasonics Symposium (IUS)
2022
Park, S., Cho, H., Kim Y., Song, I., Jang, J., Kim, J., & Yoo, Y. 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)
2022
Park, D., Cho, H., Song, I., Jang, J., Kim, J., & Yoo, Y. Automated Bladder Volume Measurement System Using a T-Shaped Cross-Array Ultrasound Probe.
IEEE International Ultrasonics Symposium (IUS)
2020
Cho, H., Kang, J., Chang, S., & Yoo, Y. CNN-Based Semantic Segmentation Networks for Multiple Fetal Biometric Measurements.
IEEE International Ultrasonics Symposium (IUS)
Invited Talks
2025
Cho, H. Unsupervised deep neural network for speckle reduction and image enhancement on portable ultrasound devices.
Medical AI Laboratory, MODULABS Inc., Seoul, Republic of Korea (12 Feb. 2025)
Invited Talk
2025
Cho, H. Unsupervised deep neural networks for high-quality ultrasound imaging.
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea (17 Jan. 2025)
Invited Talk
2025
Cho, H. Advanced ultrasound imaging with unsupervised deep neural networks.
Medical AI Laboratory, MODULABS Inc., Seoul, Republic of Korea (08 Jan. 2025)
Invited Talk
2024
Cho, H. Recent advances in deep learning-driven medical imaging.
The Catholic University of Korea, Bucheon, Republic of Korea (07 May 2024)
Invited Talk
2024
Cho, H. Medical imaging with deep learning.
College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea (30 Jan. 2024)
Invited Talk
2024
Cho, H. Automatic design of neural networks for medical image segmentation.
Medical AI Laboratory, MODULABS Inc., Seoul, Republic of Korea (24 Jan. 2024)
Invited Talk
2023
Cho, H. Specialized computer architectures for deep neural networks.
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea (12 Dec. 2023)
Invited Talk
2023
Cho, H. Deep learning-based body composition analysis.
Medical AI Laboratory, MODULABS Inc., Seoul, Republic of Korea (28 Jun. 2023)
Invited Talk