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Reference List: Top CS/AI Conference & Journal
Top CS/AI Conference
Journal
2026
- *10. Seo-Yeon Choi, and Kyungsu Lee*. "TCP: Context-Aware Pooling via Top-k% Activation Selection" , Annual Conference on Artificial Intelligence and Statistics (AISTATS2026)
- *9. Seo-Yeon Choi, and Kyungsu Lee*. "Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness" , ACM CHI conference on Human Factors in Computing Systems (CHI2026)
- *21. Yeongsu Kim†, Haeyun Lee†, Seo-Yeon Choi, and Kyungsu Lee*. "Bayesian Multi-Class Segmentation for Remote Sensing, Integrating User Priors and Uncertainty" , IEEE Transactions on Geoscience and Remote Sensing, TGRS, 2026
2025
- *8. Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang*. "Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information" , The Thirteenth International Conference on Learning Representations (ICLR2025)
- 20. Ali Abdelli, Wissem Boujnah, Younes Ben Salah, Khaled Issa, Hatem Garrab, Sarvar Hussain Nengroo, Mohsen Machhout, and Kyungsu Lee. "Field Validated Hybrid ESP-NOW and Long Range IoT Monitoring System for Energy Autonomous Precision Agriculture" , IEEE Access, Access, 2025
- *19. Kyungsu Lee†, Haeyun Lee†, Moon Hwan Lee, Sewoong Kim, Yongsoon Eun, Lucy Youngmin Eun*, and Jae Youn Hwang*. "Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms" , Computers in Biology and Medicine, CBAM, 2025
- *18. Haeyun Lee†, Kyungsu Lee†, Jong Pil Yoon, Jihun Kim*, and Jun-Young Kim*. "Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis" , IEEE Signal Processing Letters, IEEE SPL, 2025
- *17. Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang*. "SoN: Selective Optimal Network for Smartphone-based Indoor Localization in Real-time" , Expert Systems With Applications, ESWA, 2025
2024
- 16. Moon Hwan Lee†, Kyungsu Lee, Youngseung Yoo, HyungJoon Cho, Euiheon Chung, and Jae Youn Hwang*. "Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls" , IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, TUFFC, 2024
- *15. Kyungsu Lee, Haeyun Lee, Juhum Park, and Jae Youn Hwang*. "Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation" , IEEE Transactions on Geoscience and Remote Sensing, TGRS, 2024
- *14. Jeong-Whun Kim†, Kyungsu Lee†, Hyun Jik Kim, Hae Chan Park, Jae Youn Hwang, Seok-Won Park, Hyoun-Joong Kong*, and Jin Youp Kim*. "Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models" , American Journal of Respiratory and Critical Care Medicine, AJRCCM, 2024
- *13. Kyungsu Lee†, Moon Hwan Lee†, Dongho Kang, Sewoong Kim, Jin Ho Chang, Seung-June Oh*, and Jae Youn Hwang*. "Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation" , IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, TUFFC, 2024
2023
- *7. Kyungsu Lee†, Haeyun Lee†, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo*, and Jae Youn Hwang*. "Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis" , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2023)
- *6. Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo*, and Jae Youn Hwang*. "Self-supervised Domain Adaptive Segmentation of Breast Cancer Via Test-time Fine-Tuning" , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2023)
- *5. Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang*. "USIM Gate: Upsampling Module for Segmenting Precise Boundaries Concerning Entropy" , Artificial Intelligence and Statistics (AISTATS2022)
2022
- *4. Kyungsu Lee, Hah Min Lew, Moon Hwan Lee, Jun-Young Kim, and Jae Youn Hwang*. "CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear" , Asian Conference on Computer Vision (ACCV2022)
- *3. Kyungsu Lee, Jaeseung Yang, Haeyun Lee, and Jae Youn Hwang*. "Stochastic Adaptive Activation Function" , Neural Information Processing Systems (NeurIPS2022)
- *2. Kyungsu Lee†, Jaeseung Yang†, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim*, and Jae Youn Hwang*. "USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer" , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2022)
- *12. H-Y Cho†, Kyungsu Lee†, H-L Yang, C-W Jung, H-P Park, Jae Youn Hwang, Hyoun-Joong Kong, and Hyung-Chul Lee*. "Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View" , Anaesthesia, Anaesthesia, 2022
- *11. Kyungsu Lee, T C Cavalcanti, Sewoong Kim, Hah Min Lew, Dae Hun Suh, Dong Hun Lee*, and Jae Youn Hwang*. "Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases" , IEEE Journal of Biomedical and Health Informatics, JBHI, 2022
- 10. Haeyun Lee, Moon Hwan Lee, Sang-Yeon Lee, Kyungsu Lee, Hah Min Lew, and Jae Youn Hwang*. "Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image" , IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, TUFFC, 2022
2021
- *1. Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang*. "Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images" , International Conference on Computer Vision (ICCV2021)
- 9. Thiago C. Cavalcanti, Hah Min Lew, Kyungsu Lee, Sang-Yeon Lee, Moo Kyun Park, and Jae Youn Hwang*. "Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media" , Biomedical Optics Express, BOE, 2021
- *8. Kyungsu Lee, Jun Hee Kim, Haeyun Lee, Juhum Park, Jihwan P Choi, and Jae Youn Hwang*. "Boundary-oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images" , IEEE Transactions on Geoscience and Remote Sensing, TGRS, 2021
- 7. Haeyun Lee, Young Jun Chai, Hyunjin Joo, Kyungsu Lee, Jae Youn Hwang, Seok-Mo Kim, Kwangsoon Kim, Inn-Chul Nam, June Young Choi, Hyeong Won Yu, Myeong-Chul Lee, Hiroo Masuoka, Akira Miyauchi, Kyu-Eon Lee, Sung-Wan Kim, and Hyoun-Joong Kong*. "Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment" , Journal of Medical Internet Research Medical Informatics, JMIR Medical Informatics, 2021
- 6. Haeyun Lee, Kyungsu Lee, Jun Hee Kim, Younghwan Na, Juhum Park, Jihwan P Choi, and Jae Youn Hwang*. "Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images" , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, JSTAR, 2021
- *5. Kyungsu Lee†, Jun-Young Kim†, Moon Hwan Lee, Chang-Hyuk Choi*, and Jae Youn Hwang*. "Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear" , Sensors, 2021
2020
- 4. Younghwan Na, Jun Hee Kim, Kyungsu Lee, Juhum Park, Jae Youn Hwang, and Jihwan P Choi*. "Domain Adaptive Transfer Attack-based Segmentation Networks for Building Extraction from Aerial Images" , IEEE Transactions on Geoscience and Remote Sensing, TGRS, 2020
- *3. Sang-Yeon Lee†, Kyungsu Lee†, Jeehoon Son, In-Hwan Yang, and Jae Youn Hwang. "Fully-automatic Deep Learning-based Analysis for Determination of the Invasiveness of Breast Cancer Cells in an Acoustic Trap" , Biomedical Optics Express, BOE, 2020
- 2. Moon Hwan Lee, Jun-Young Kim, Kyungsu Lee, Chang-Hyuk Choi*, and Jae Youn Hwang*. "Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears" , IEEE ACCESS, 2020
- 1. Thiago Coutinho Cavalcanti, Sewoong Kim, Kyungsu Lee, Sang-Yeon Lee, Moo Kyun Park, and Jae Youn Hwang*. "Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool" , Journal of Biophotonics, 2020
Reference List: Conference Proceedings
Conference Proceedings (International)
Conference Proceedings (Domestic)
2025
- *5. Jong-hyuk Ahn, Seo-Yeon Choi, and Kyungsu Lee*. "Memory-Guided Personalization for Physician-Specific Diagnostic Inference" , IEEE/CVF International Conference on Computer Vision Workshops (Computer Vision for Automated Medical Diagnosis), (2025) .
- *4. Seo-Yeon Choi, and Kyungsu Lee*. "Patient-Centric Statistical Multi-Modal Fusion for Medical Diagnosis: Integrating DICOM, Radiomics, and Patient Attributes" , IEEE/CVF International Conference on Computer Vision Workshops (Vision-Based AI for Digital Health), (2025) .
- *3. Kyungsu Lee*, Seo-Yeon Choi, and Jong-hyuk Ahn*. "Statistical Latent Manifold-Guided Framework for Generative Super-Resolution" , 2025 Second International Conference on Artificial Intelligence for Medicine, Health, and Care, (2025) .
- *2. Seo-Yeon Choi, Haeyun Lee, and Kyungsu Lee*. "Statistical Multi-Modal Fusion for Patient-Centric Medical Diagnosis Using DICOM" , 2025 Second International Conference on Artificial Intelligence for Medicine, Health, and Care, (2025) .
- *1. Yeongsu Kim, and Kyungsu Lee*. "Interactive Few-shot Online Adaptation for User-Guided Segmentation in Aerial Images" , The Thirteenth International Conference on Learning Representations Workshop, (2025) .
- *4. Dong-Jun Kang, and Kyungsu Lee*. "Anatomy-Aware Distillation with Memory-Augmented SAM2 for Fracture Detection" , 2025 한국소프트웨어종합학술대회, KSC2025, 2025 .
- *3. Dong-Jun Kang, and Kyungsu Lee*. "Anatomy-Aware Distillation with Memory-Augmented SAM2 for Fracture Detection" , 대한의용생체공학회 2025 추계학술대회, KOSOMBE2025 Fall, 2025 .
- *2. Sakang Hong, Jun-Yung Kim, and Kyungsu Lee*. "SAM2-based Bayesian Prompt Adaptation for Cross-Modality Medical Segmentation" , 대한의용생체공학회 2025 추계학술대회, KOSOMBE2025 Fall, 2025 .
- *1. Seo-Yeon Choi, and Kyungsu Lee*. "Statistical Latent Manifold-Guided Framework for Generative Super-Resolution" , 한국컴퓨터종합학술대회 (KCC 2025), KCC2025, 2025 .