Sunghee Jung

According to our database, Sunghee Jung authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs.

Shinbok Lee, Gaeun Seo, Daniel Lee, Byeongil Ko, Sunghee Jung, Myeongcheol Shin

CoRR, 2024

Intelli-Z: Toward Intelligible Zero-Shot TTS.

Sunghee Jung, Won Jang, Jaesam Yoon, Bongwan Kim

CoRR, 2024

Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images.

Jongum Yoon, Sunghee Jung, Byunghwan Jeon

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks.

Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang

IEEE Access, 2023

2022

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images.

Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang

Comput. Biol. Medicine, 2022

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech.

Dan Lim, Sunghee Jung, Eesung Kim

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images.

Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang

Entropy, 2021

2020

Neural voice cloning with a few low-quality samples.

Sunghee Jung, Hoirin Kim

CoRR, 2020

Pitchtron: Towards audiobook generation from ordinary people's voices.

Sunghee Jung, Hoirin Kim

CoRR, 2020

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography.

Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang

IEEE Access, 2020

2018

Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images.

Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang

Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

2017

Maximum a posteriori estimation method for aorta localization and coronary seed identification.

Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang

Pattern Recognit., 2017

Coronary luminal and wall mask prediction using convolutional neural network.

Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017