Hyunwoo Cho, Ph.D.
Incoming Assistant Professor

Hyunwoo Cho, Ph.D.

Medical Imaging · Deep Learning · Ultrasound Innovation

IncomingAssistant Professor, Kyungpook National UniversityCurrentPostdoctoral Associate, SMART Centre, MIT

I will join the School of Electronics Engineering at Kyungpook National University as an Assistant Professor in September 2026. I am currently a Postdoctoral Associate at MIT SMART Centre, working with Prof. Xuanhe Zhao, and received my Ph.D. in Electronic Engineering from Sogang University under Prof. Yangmo Yoo.

My research focuses on wearable ultrasound imaging and deep learning driven medical imaging, developing innovative solutions for elderly care by combining AI algorithms with portable medical devices.

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News

2026-09-01

Joined the School of Electronics Engineering at Kyungpook National University as an Assistant Professor.

2026-03-09

Joined the SMART Centre, MIT in Singapore as a Postdoctoral Associate, working on wearable ultrasound imaging.

2025-02-19

Received my Ph.D. in Electronic Engineering from Sogang University.

2023-11-07

Received the Young Investigator Prize at the 19th WFUMB Congress in Muscat, Oman.

2023-05-13

Received the Young Investigator Award (Gold) at the 54th Annual Congress of KSUM in Seoul, Korea.

Key Research Foci

AI for Medical Imaging

(analysis, measurement, and reliable deployment)

  • Segmentation/detection-based automation of clinically relevant parameter measurement
  • Robust and trustworthy medical AI (calibration/uncertainty, controllability, generalization)

Deep Learning for Ultrasound Imaging

(reconstruction, inverse problems, quantitative imaging)

  • Self-/unsupervised learning for high-fidelity ultrasound reconstruction and representation learning
  • Physics-guided inverse modeling for artifact reduction and image formation correction
  • Learning-based quantitative and perfusion ultrasound for parameter inference

Physical AI & Efficient Learning for Wearable Robotic Ultrasound

(active perception, sim-to-real, edge AI)

  • Closed-loop robotic ultrasound guidance: continuous view/pose navigation and active scanning policies
  • Self-supervised adaptation and sim-to-real transfer across operators, devices, and patients
  • Data-/compute-efficient learning: synthetic/pseudo data, compression/acceleration, hardware-aware design

Education & Experience

Education

2020 - 2025

Ph.D. in Electronic Engineering

Sogang University, Seoul, Korea
Advisor: Prof. Yangmo Yoo

Thesis: A Study on Unsupervised Deep Neural Networks for Medical Ultrasound Imaging

2015 - 2020

B.S. in Electronic Engineering

Sogang University, Seoul, Korea

Experience

2026 -

Assistant Professor (Incoming)

School of Electronics Engineering,
Kyungpook National University, Daegu, Korea

2026 - 2026

Postdoctoral Associate

WITEC IRG, SMART Centre,
Massachusetts Institute of Technology (MIT), Singapore
PI: Prof. Xuanhe Zhao

2025 - 2026

Postdoctoral Researcher

Department of Electronic Engineering
Sogang University, Seoul, Korea

2020 - 2025

Research Assistant

Department of Electronic Engineering
Sogang University, Seoul, Korea

Publications

View Full Profile on Google Scholar

Peer-Reviewed Journal Papers

20261

Classification of twinkling artifacts and blood flow for in vivo detection of breast microcalcifications Ultrasonics Co-authorJCR Top 11%

Kang, J., Park, S., Lee, E., Cho, H., Kim, K., Kim, M., & Yoo, Y.

Ultrasonics, 163, 107998.

2024-JCR-IF: 4.1 | Top 11.0% in Acoustics

View Paper

20255

Unsupervised beamforming with optimized coherence loss for clutter suppression in single plane-wave ultrasound imaging Diagnostics Co-first AuthorJCR Top 17%

Hwang, S.†, Cho, H.†, Kim, T., & Kang, J.

Diagnostics, 16(1), 58.

2024-JCR-IF: 3.3 | Top 17.0% in Medicine, General & Internal

View Paper †: Co-first authorship
Intravascular ultrasound imaging with directional synthetic aperture focusing and coherence factor weighting Ultrasonography First Author

Cho, H., Lee, J., Park, D., Chang, J., Jang, J., & Yoo, Y.

Ultrasonography, 44(6), 483.

View Paper
Numerical investigation of optimal transmission-reception conditions for aliasing-free ultrasound localization microscopy Ultrasonics First AuthorJCR Top 11%

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

Ultrasonics, 154, 107704.

2024-JCR-IF: 4.1 | Top 11.0% in Acoustics

View Paper
Fully automated bladder volume measurement system using a T-shaped ultrasound probe and free-hand motion-based 3D reconstruction IEEE Access Co-first Author

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

IEEE Access, 13, 80247.

View Paper †: Co-first authorship
Deep learning model for CT-based adrenal gland volume determination and normal reference definition in dogs Pakistan Veterinary Journal Co-first AuthorJCR Top 2%

Park, S.†, Cho, H.†, Lee, K., & Yoon, H.

Pakistan Veterinary Journal, 45(1), 320.

2024-JCR-IF: 5.4 | Top 2.1% in Veterinary Sciences

View Paper †: Co-first authorship

20244

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 Co-first AuthorJCR Top 13%

Park, J.†, Cho, H.†, Ji, Y., Lee, K., & Yoon, H.

Frontiers in Veterinary Science, 11, 1453765.

2023-JCR-IF: 2.6 | Top 12.9% in Veterinary Sciences

View Paper †: Co-first authorship
Deep coherence learning: An unsupervised deep beamformer for high quality single plane wave imaging in medical ultrasound Ultrasonics First AuthorJCR Top 11%

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

Ultrasonics, 143, 107408.

2023-JCR-IF: 3.8 | Top 11.2% in Acoustics

View Paper
Detection of spondylosis deformans in thoracolumbar and lumbar lateral X-ray images of dogs using a deep learning network Frontiers in Veterinary Science Co-first AuthorJCR Top 13%

Park, J.†, Cho, H.†, Ji, Y., Lee, K., & Yoon, H.

Frontiers in Veterinary Science, 11, 1334438.

2023-JCR-IF: 2.6 | Top 12.9% in Veterinary Sciences

View Paper †: Co-first authorship
A system-on-chip solution for deep learning-based automatic fetal biometric measurement Expert Systems with Applications First AuthorJCR Top 7%

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

Expert Systems with Applications, 237, 121482.

2023-JCR-IF: 7.5 | Top 7.0% in Engineering, Electrical & Electronic

View Paper

20231

A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study Bioengineering First Author

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

Bioengineering, 10(5), 525.

View Paper

20222

A deep learning model for CT-based kidney volume determination in dogs and normal reference definition Frontiers in Veterinary Science Co-author

Ji, Y., Cho, H., Seon, S., Lee, K., & Yoon, H.

Frontiers in Veterinary Science, 9, 1011804.

View Paper
Air-Coupled Ultrasound Sealing Integrity Inspection Using Leaky Lamb Waves in a Simplified Model of a Lithium-Ion Pouch Battery: Feasibility Study Sensors First Author

Cho, H., Kil, E., Jang, J., Kang, J., Song, I., & Yoo, Y.

Sensors, 22(17), 6718.

View Paper

Under-Review and Preprints

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

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

View Paper
Non-invasive and continuous blood flow monitoring system with a wearable cross-shaped ultrasound array First AuthorUnder Revision

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

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement First AuthorUnder Review

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

View Paper

Several more manuscripts are currently in preparation.

Conference Presentations

20264

Kwon, Y., Cho, H., & Yoo, Y. pCoRev: Physics-informed contrastive learning for unsupervised reverberation artifact suppression in medical ultrasound imaging.

IEEE International Ultrasonics Symposium (IUS)

Kwon, Y., Cho, H., & Yoo, Y. Q-Gland: Quantitative glandular tissue characterization for ultrasound-based GTC assessment.

IEEE International Ultrasonics Symposium (IUS)

Kwon, Y., Cho, H., & Yoo, Y. Physics-embedded deconvolution flow for ultrasound scatter inversion and resolution enhancement.

IEEE International Ultrasonics Symposium (IUS)

Lee, E., Cho, H., & Yoo, Y. Hankel-matrix-based sparse compounding for enhancing twinkling artifact signals in low sensitivity Doppler imaging.

IEEE International Ultrasonics Symposium (IUS)

202511

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. Oral

IEEE International Ultrasonics Symposium (IUS)

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)

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)

Lee, E., Cho, H., Yoo, Y. A new compounding method using spatiotemporal features for twinkling artifact imaging.

IEEE International Ultrasonics Symposium (IUS)

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)

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)

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)

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)

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)

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)

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)

20246

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)

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)

Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Neural Network for Reverberation Artifact Reduction in Medical Ultrasound. Oral

IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)

Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Clutter Filter for High-Quality Ultrafast Perfusion Imaging. Oral

IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)

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)

Cho, H., & Yoo, Y. An Unsupervised Deep Neural Network for Reverberation Artifact Reduction. Oral

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

20236

Cho, H., Kang, J., & Yoo, Y. An Unsupervised Deep Beamformer for High-Quality Ultrafast Ultrasound Imaging. Oral

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

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)

Cho, H., & Yoo, Y. A Self-Supervised Learning Framework for Artifact-Free High-Quality Plane Wave Imaging. Oral

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

Cho, H., Park, S., Kang, J., & Yoo, Y. Deep Coherence Learning: an Unsupervised Deep Learning Framework for High-Quality Plane Wave Imaging. Oral

IEEE International Ultrasonics Symposium (IUS)

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)

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)

20223

Cho, H., Jang, J., & Yoo, Y. Residual CNN based Angular Compounding for High-quality Plane Wave Imaging.

IEEE International Ultrasonics Symposium (IUS)

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)

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)

20201

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

20261

Cho, H. Deep learning based medical imaging: Current limitations and future directions. Invited Talk

Kyungpook National University, Daegu, Republic of Korea (08 May 2026)

20252

Cho, H. Recent advances in deep learning driven medical ultrasound imaging. Invited Talk

The Catholic University of Korea, Bucheon, Republic of Korea (27 Nov. 2025)

Cho, H. Unsupervised deep neural networks for high-quality ultrasound imaging. Invited Talk

Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea (17 Jan. 2025)

20242

Cho, H. Recent advances in deep learning-driven medical imaging. Invited Talk

The Catholic University of Korea, Bucheon, Republic of Korea (07 May 2024)

Cho, H. Medical imaging with deep learning. Invited Talk

College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea (30 Jan. 2024)

20231

Cho, H. Specialized computer architectures for deep neural networks. Invited Talk

Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea (12 Dec. 2023)

Awards & Honors

2023
The Young Investigator Prize
19th WFUMB Congress
2023
Young Investigator Award - Gold
54th Annual Congress of KSUM
2024
Student Travel Grant Award
IEEE UFFC-JS 2024
2023
Best Paper Award - 1st Place
Department of Electronic Engineering, Sogang University
2024
Best Paper Award - 3rd Place
Sogang-Samsung Paper Award, Samsung Electronics
2023
Best Poster Award
International Symposium on Integrated Medical Solutions (iSims)

Professional Service

Reviewer, BioMedical Engineering OnLine (Springer Nature)
Reviewer, Scientific Reports (Springer Nature)
Reviewer, Advanced Engineering Informatics (Elsevier)
Reviewer, Journal of Biomedical and Health Informatics (IEEE)
Reviewer, Preventive Veterinary Medicine (Elsevier)
Reviewer, Ultrasonography (Korean Society of Ultrasound in Medicine)
Reviewer, Computers in Biology and Medicine (Elsevier)
Reviewer, Expert Systems with Applications (Elsevier)
Reviewer, IEEE Access (IEEE)
Reviewer, Biomedical Engineering Letters (Springer Nature)
Reviewer, Measurement (Elsevier)
Reviewer, European Journal of Radiology (Elsevier)
Reviewer, IEEE Sensors Journal (IEEE)
Member, IEEE

Contact Me

Email

hwcho@knu.ac.kr

Google Scholar

View Profile

Website

www.hyunwoocho.com

Location

WITEC IRG, SMART Centre,
Massachusetts Institute of Technology,
Singapore (138602)

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