Scholar
Juho Jung
Google Scholar ID: YjI_sSAAAAAJ
VUNO Inc.
Citations & Impact
Citations
56
H-index
4
i10-index
2
Publications
11
Co-authors
0
Resume (English only)
Academic Achievements
- Published several papers including 'CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation' (WACV 2025) and 'HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection' (CIKM 2024 Oral). Participated in the LUNA25 AI Challenge, achieving 7th place out of 56 teams using advanced deep learning techniques for lung nodule analysis and detection.
Research Experience
- Currently a Research Scientist (Alternative Military Service) at VUNO Inc. Previously researched uncertainty-aware Multitask Learning in Medical image and Multimodal Feature Alignment in complex and unknown modality at SKKU.
Education
- Master's from the Graduate School of Applied Artificial Intelligence at SKKU (Full Academic Excellence Scholarship), supervised by Prof. Jinyoung Han; Bachelor's degree (Magna Cum Laude) in Applied Artificial Intelligence from SKKU. Worked as a Visiting Scholar in the School of Computer Science Intensive Program in AI at Carnegie Mellon University, collaborating with Zhi-Qi Cheng, Alexander Hauptmann, and David Mortensen.
Background
- Research interests include advancing uncertainty-aware multimodal learning for medical imaging. Focuses on adapting large vision-language models to clinical data, quantifying and calibrating their uncertainty, and mitigating hallucinations in real-world medical settings.
Miscellany
- Personal interests not mentioned
Co-authors