Jaeyoung Huh
Ph. D Candidate
Bio Imaging, Signal Processing & Learning Lab (BISPL) [Link]
Korea Advanced Institute of Science and Technology (KAIST)
Email : woori93@kaist.ac.kr
Research Interests
Deep Learning
Computer Vision
Natural Language Processing
Medical Imaging
Ultrasound Imaging
Education
Ph. D Candidate, Bio and Brain Engineering (Mar. 2020 – Present)
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
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
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
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
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. - 2023. 03 : 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
