Youngwon Choi

17 papers A* 2C 1Misc 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis.
CoRR
Youngwon Choi, Jinwoo Oh, Hwayeon Kim, Hyeonyu Kim
2025 — conf
DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality.
UIST Adjunct
Donghyuk Jung, Youngwon Choi, Hwayeon Kim
2025 J jnl
DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality.
CoRR
Youngwon Choi, Donghyuk Jung, Hwayeon Kim
2025 J jnl
Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data.
CoRR
Youngwon Choi, Jaeyoon Jung, Hyeonyu Kim, Huu-Kim Nguyen, Hwayeon Kim
2023 — conf
Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.
Computer-Aided Diagnosis
Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown
2023 C conf
Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment.
NeSy
Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann
2023 Misc conf
Individual Sub-Band Estimation Approach to Bandwidth Extension and Enhancement of Coded Speech.
ICASSP
Youngwon Choi, Eunkyun Lee, Inseon Jang, Jong Won Shin
2023 — conf
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing.
Computer-Aided Diagnosis
Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown
2023 J jnl
Wasserstein Geodesic Generator for Conditional Distributions.
CoRR
Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik
2022 — conf
AI-human interactive pipeline with feedback to accelerate medical image annotation.
Computer-Aided Diagnosis
Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown
2022 J jnl
Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning.
IEEE Access
Sungdong Lee, Leonard Sunwoo, Youngwon Choi, Jae Hyup Jung, Seung Chai Jung, Joong-Ho Won
2022 J jnl
SimpleMind adds thinking to deep neural networks.
CoRR
Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown
2021 — conf
An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images.
Computer-Aided Diagnosis
Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Pangyu Teng, Hyun J. Grace Kim
2021 A* conf
Learning from Nested Data with Ornstein Auto-Encoders.
ICML
Youngwon Choi, Sungdong Lee, Joong-Ho Won
2021 — conf
Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF).
ISBI
Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Hyun J. Grace Kim
2019 A* conf
Ornstein Auto-Encoders.
IJCAI
Youngwon Choi, Joong-Ho Won
2016 — conf
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke.
BrainLes@MICCAI
Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won