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 (ISBI, 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)

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 (SASHIMI@MICCAI, 2018)

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)

Pitchtron: Towards audiobook generation from ordinary people's voices. - Sunghee Jung; Hoirin Kim (CoRR, 2020)

Neural voice cloning with a few low-quality samples. - Sunghee Jung; Hoirin Kim (CoRR, 2020)

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)

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech. - Dan Lim; Sunghee Jung; Eesung Kim (INTERSPEECH, 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)

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)

Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images. - Jongum Yoon; Sunghee Jung; Byunghwan Jeon (MLMI@MICCAI (1), 2024)

Intelli-Z: Toward Intelligible Zero-Shot TTS. - Sunghee Jung; Won Jang; Jaesam Yoon; Bongwan Kim (CoRR, 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)

Deep reinforcement learning for efficient registration between intraoral-scan meshes and CT images. - Seungpil Choi; Seoyeon Jang; Sunghee Jung; Heon Jae Cho; Byunghwan Jeon (Pattern Recognit., 2025)

Kanana: Compute-efficient Bilingual Language Models. - Yunju Bak; Hojin Lee; Minho Ryu; Jiyeon Ham; Seungjae Jung; Daniel Wontae Nam; Taegyeong Eo; Donghun Lee; Doohae Jung; Boseop Kim; Nayeon Kim; Jaesun Park; et al. (CoRR, 2025)

DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models. - Sunghee Jung; Donghun Lee; Shinbok Lee; Gaeun Seo; Daniel Lee; Byeongil Ko; Junrae Cho; Kihyun Kim; EungGyun Kim; Myeongcheol Shin (CoRR, 2025)