Jaeyoung Huh

Research Interests

• Deep Learning

• Computer Vision

• Natural Language Processing

• Medical Imaging

• Robotics System

Education

• Postdoctoral Research (Mar. 2024 - Current)

Siemens Healthineers, Princeton, NJ, USA

Fields: Intra-cardiac Echocardiography image guided robot manipulation

• Ph. D, Bio and Brain Engineering (Mar. 2020 – Feb. 2024)

Korea Advanced Institute of Science and Technology (KAIST), South Korea

Fields: Medical imaging, Deep learning

Advisor: Prof. Jong Chul Ye

• M. S., Bio and Brain Engineering, 2020

Korea Advanced Institute of Science and Technology (KAIST), South Korea

Fields: Medical imaging, Deep learning

Advisor: Prof. Jong Chul Ye

• B. S., Department of Electronic Engineering, 2017

Hanyang University, Seoul, South Korea

Research Experience

• 2017. 09 - 2018.02 

  : Researcher in Korea Advanced Institute of Science & Technologray (KAIST)

Medical ultrasound image reconstruction using deep learning

• 2016. 07 - 2016.08 

  : Internship in Korea Research Institute of Standards and Science (KRISS)

THz wave tomography and Labview program

• 2015. 07 - 2015.08 

  : Internship in Korea Research Institute of Standards and Science (KRISS)

About SONAR in unmanned submarine

Honors & Awards

• 2017.   : Graduating honors student

• 2016.03-2016.08   : Dong-bu Foundation Scholarship (Full scholarship)

• 2012-2015   : National Science & Technology Scholarship (Full scholarship)

• 2012. 07.  : Electronic Engineering Specialized Scholarship

UNder Review

• Image-to-Action Learning for Generalizable Catheter Robot Control from Clinical and Robot Data

Jaeyoung Huh, Gareth Funka-Lea, Puneet Sharma, Ankur Kapoor, Young-Ho Kim

• Unsupervised Restoration and Enhancement of Ultrasound Fetus Facial Images

Jaeyoung Huh, Serin Yang, Sehui Kim, Minsuk Bang, Hanjun Kim, Jinyong Lee, Jong Chul Ye

• Breast Ultrasound Report Generation using LangChain

Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye

• Image quality improvement of liver ultrasound using unsupervised deep learning

Jaeyoung Huh*, Joo Hyeok Choi*, Eun Sun Lee, Jong Chul Ye, Jeong Eun Lee, Hyun Jeong Park, Byung Ihn Choi

Publications

• AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging (*Selected as a cover )

Jaeyoung Huh, Paul Klein, Gareth Funka-Lea, Puneet Sharma, Ankur Kapoor, Young-Ho Kim

  IEEE Transactions on Biomedical Engineering, 2025

• Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model

Jaeyoung Huh*, Sangjoon Park*, Jeong Eun Lee, Jong Chul Ye

  IEEE Journal of Biomedical and Health Informatics, 2023

• Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN

Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, Jong Chul Ye

  Medical Image Analysis, 2022

• Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE Transactions on Medical Imaging, 2021

• Missing Cone Artifacts Removal in ODT using Unsupervised Deep Learning in Projection Domain

   Hyungjin Chung*, Jaeyoung Huh*, Geon Kim, Yong Keun Park, Jong Chul Ye

   IEEE Transactions on Computational Imaging, 2021

• Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

   IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021

• Adaptive and compressive beamforming using deep learning for medical ultrasound

   Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020

• Efficient B-mode ultrasound image reconstruction from sub-sampled RF data using deep learning

  Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE Transactions on Medical Imaging, 2018

International Conferences

• Pose Estimation for Intra-cardiac Echocardiography Catheter via AI-based Anatomical Understanding

  Jaeyoung Huh, Ankur Kapoor, Young-Ho Kim

  The 17th Hamlyn Symposium on Medical Robotics, 2025

• Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility

  Jaeyoung Huh, Ankur Kapoor, Young-Ho Kim

  The 17th Hamlyn Symposium on Medical Robotics, 2025

• Breast Ultrasound Report Generation using LangChain

  Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye

  Machine Learning for Scientific Imaging  at Electronic Imaging (MLSI) 2024

• Ultrasound Image Quality Control using Speech-Assisted Switchable CycleGAN

  Jaeyoung Huh, Shujaat Khan, Eun Sun Lee, Jong Chul Ye

  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023

• Image Quality Improvement of Liver Ultrasound using Unsupervised Deep Learning 

   Jaeyoung Huh*, Joo Hyeok Choi*, Eun Sun Lee, Jong Chul Ye, Jeong Eun Lee, Hyun Jeong Park, Byung Ihn Choi

  Radiological Society of North America (RSNA) 2022

• Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network

  Jaeyoung Huh, Shujaat Khan, Jong Chul Ye

  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022

• Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

• Unsupervised Learning for Acoustic Shadowing Artifact Removal in Ultrasound Imaging

  Jaeyoung Huh, Shujaat Khan, Jong Chul Ye

  IEEE International Ultrasonics Symposium (IUS), 2021

• Switchable Deep Beamformer For Ultrasound Imaging Using Adain

Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE International Symposium on Biomedical Imaging (ISBI), 2021

• Unsupervised Deep Learning For Accelerated High Quality Echocardiography

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE International Symposium on Biomedical Imaging (ISBI), 2021

• Unsupervised Deconvolution Neural Network for High Quality Ultrasound Imaging

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE International Ultrasonics Symposium (IUS), 2020

• Deep Learning-based Universal Beamformer for Ultrasound Imaging

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),  2019

• Universal Plane-Wave Compounding for High Quality US Imaging Using Deep Learning

  Shujaat Khan, Jaeyoung Huh, Jong Chul Ye

  IEEE International Ultrasonics Symposium (IUS), 2019

Book chapter

• 11. Ultrasound Image Artifact Removal using Deep Neural Networks 

  Jaeyoung Huh, Shujaat Khan, Jong Chul Ye

   Deep Learning for Biomedical Image Reconstruction, Cambridge University Press

Projects

• 2022. 03. - 2024. 02   : SAMSUNG MEDISON

3D Realisticvue image enhancement

• 2020. 09. - 2021. 04  : SAMSUNG MEDISON

3D Ultrasound A/B/C planes enhancement

patents

• Ultrasound Image Quality Control using Speech-Assisted Switchable CycleGAN 

    KR patent, 2023 (Application No. 10-2023-0104079)

• Improving Medical Speech-To-Text Accuracy with Vision-Language Pre-training Model 

    KR patent, 2023 (Application No. 10-2023-0105684)

• Ultrasound image processing method using switchable neural network and apparatus therefor 

    KR patent, 2023 (Registration No. 10-2590613)

• Tomography image processing method using neural network based on unsupervised learning to remove missing cone artifacts and apparatus therefor 

    KR patent, 2023 (Registration No. 10-2591860)

• Apparatus and method for processing ultrasound image in various sensor conditions\\

    US patent, 2022 (Registration No. US 11,478,225)

    KR patent, 2021 (Registration No. 10-2317337)

• An image processing apparatus using neural network and a method performed by the image processing apparatus \\

    US patent, 2021 (Registration No. US 11,145,028)

• Multi-domain ultrasound image processing method using single neural network based on unsupervised learning and apparatus therefore \\

    KR patent, 2020 (Application No. 10-2020-0171206)

Interview at BRIC