Journal papers
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. *: 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. (IF 8.5, JCR 8.2% 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., Park, S., Kang, J., & Yoo, Y. (2023). Deep Coherence Learning: An Unsupervised Deep Beamformer for High Quality Single Plane Wave Imaging in Medical Ultrasound. arXiv preprint arXiv:2311.11169. Link
Conferences and Presentations
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