Jaeyoung Huh

Orcid: 0000-0002-2126-0763

According to our database1, Jaeyoung Huh authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models.
IEEE J. Biomed. Health Informatics, March, 2024

2023
Tunable image quality control of 3-D ultrasound using switchable CycleGAN.
Medical Image Anal., 2023

Breast Ultrasound Report Generation using LangChain.
CoRR, 2023

Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model.
CoRR, 2023

Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound.
IEEE Trans. Medical Imaging, 2022

Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning.
CoRR, 2022

Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain.
IEEE Trans. Computational Imaging, 2021

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN.
CoRR, 2021

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography.
CoRR, 2021

Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Unsupervised Deep Learning For Accelerated High Quality Echocardiography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Switchable Deep Beamformer For Ultrasound Imaging Using Adain.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Switchable Deep Beamformer.
CoRR, 2020

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN.
CoRR, 2020

Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal.
CoRR, 2020

2019
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.
IEEE Trans. Medical Imaging, 2019

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound.
CoRR, 2019

Universal Deep Beamformer for Variable Rate Ultrasound Imaging.
CoRR, 2019

Deep Learning-Based Universal Beamformer for Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging.
CoRR, 2017


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