Publications

2027

1 paper

Conference

International conference papers

1 paper
  1. Learning When to Correct: Selective Calibration for Monocular Kinematics

    Jun Ho Lee, Dong-Jun Kang, and Kyungsu Lee

    IEEE/CVF Winter Conference on Applications of Computer Vision 2027

2026

12 papers

Conference

International conference papers

9 papers
  1. Biomarker-Aware Mixture-of-Experts for Device-Invariant Personalized Skin Diagnosis

    Seo-Yeon Choi, and Kyungsu Lee

    Asian Conference on Computer Vision 2026

  2. SFXGraph: Causal-Compositional Graph Learning for Stylized Sound Effects in Webtoons

    Sakang Hong, Haeyun Lee, Geonha Hong, Jinyoung Jeong, Sanga Ahn, and Kyungsu Lee

    Asian Conference on Computer Vision 2026

  3. Semantic Line Diffusion: Character-Consistent Line Art from Text-Annotated Storyboards

    Seo-Yeon Choi, and Kyungsu Lee

    European Conference on Computer Vision 2026

  4. Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

    Kyungsu Lee, Seo-Yeon Choi, Jae Youn Hwang, and Jong-Hye Woo

    Medical Image Computing and Computer Assisted Intervention 2026

  5. Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

    Sakang Hong, Jun-Young Kim, and Kyungsu Lee

    Medical Image Computing and Computer Assisted Intervention 2026

  6. PRIME: Ultra-Low-Rank Principal-Residual Model Merging

    Seung-Ho Lee, Kyungsu Lee, Bazarvaani Zuchi, Jeongmin Ahn, Insuk Seo, Donghyeon Jeon, Inho Kang, and Seung-Hoon Na

    ACL 2026

  7. Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation

    Yeongsu Kim, Seo-Yeon Choi, and Kyungsu Lee

    IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026

  8. TCP: Context-Aware Pooling via Top-k% Activation Selection

    Seo-Yeon Choi, and Kyungsu Lee

    Annual Conference on Artificial Intelligence and Statistics

  9. Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness

    Seo-Yeon Choi, and Kyungsu Lee

    ACM CHI conference on Human Factors in Computing Systems

Journal

Journal articles

3 papers
  1. Uncertainty-Aware Bayesian Prompt Adaptation of SAM2 for Few-Shot Cross-Modal Segmentation

    Sakang Hong, Jong Pil Yoon, Kyungsu Lee, and Jun-Young Kim

    Expert Systems with Applications, Vol. 331, Part B, Art. 133226 · Published online

  2. Modality-Aware Spectral Alignment for Personalized Federated EEG–Gaze Learning

    Seo-Yeon Choi, and Kyungsu Lee

    IEEE Signal Processing Letters, pp. 1–5 · Early Access

  3. Bayesian Multiclass Segmentation for Remote Sensing: Integrating User Priors and Uncertainty

    Yeongsu Kim, Haeyun Lee, Seo-Yeon Choi, and Kyungsu Lee

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 64, Art. 1000515, pp. 1–15

2025

6 papers

Conference

International conference papers

1 paper
  1. Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information

    Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang

    The Thirteenth International Conference on Learning Representations

Journal

Journal articles

5 papers
  1. Field Validated Hybrid ESP-NOW and Long Range IoT Monitoring System for Energy Autonomous Precision Agriculture

    Ali Abdelli, Wissem Boujnah, Younes Ben Salah, Khaled Issa, Hatem Garrab, Sarvar Hussain Nengroo, Mohsen Machhout, and Kyungsu Lee

    IEEE Access, Vol. 13, pp. 207511–207526

  2. Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms

    Kyungsu Lee, Haeyun Lee, Moon Hwan Lee, Sewoong Kim, Yongsoon Eun, Lucy Youngmin Eun, and Jae Youn Hwang

    Computers in Biology and Medicine, Vol. 195, Art. 110478

  3. Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis

    Haeyun Lee, Kyungsu Lee, Jong Pil Yoon, Jihun Kim, and Jun-Young Kim

    IEEE Signal Processing Letters, Vol. 32, pp. 1635–1639

  4. SoN: Selective Optimal Network for Smartphone-based Indoor Localization in Real-time

    Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang

    Expert Systems with Applications, Vol. 272, Art. 126639

  5. Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls

    Moon Hwan Lee, Kyungsu Lee, Youngseung Yoo, HyungJoon Cho, Euiheon Chung, and Jae Youn Hwang

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 72, No. 1, pp. 127–140

2024

3 papers

Journal

Journal articles

3 papers
  1. Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation

    Kyungsu Lee, Haeyun Lee, Juhum Park, and Jae Youn Hwang

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, pp. 1–16

  2. Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models

    Jeong-Whun Kim, Kyungsu Lee, Hyun Jik Kim, Hae Chan Park, Jae Youn Hwang, Seok-Won Park, Hyoun-Joong Kong, and Jin Youp Kim

    American Journal of Respiratory and Critical Care Medicine, Vol. 210, No. 2, pp. 211–221

  3. Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation

    Kyungsu Lee, Moon Hwan Lee, Dongho Kang, Sewoong Kim, Jin Ho Chang, Seung-June Oh, and Jae Youn Hwang

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 71, No. 7, pp. 775–785

2023

5 papers

Conference

International conference papers

3 papers
  1. Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

    Kyungsu Lee, Haeyun Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo, and Jae Youn Hwang

    International Conference on Medical Image Computing and Computer-Assisted Intervention

  2. Self-supervised Domain Adaptive Segmentation of Breast Cancer Via Test-time Fine-Tuning

    Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo, and Jae Youn Hwang

    International Conference on Medical Image Computing and Computer-Assisted Intervention

  3. USIM Gate: Upsampling Module for Segmenting Precise Boundaries Concerning Entropy

    Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang

    Artificial Intelligence and Statistics

Journal

Journal articles

2 papers
  1. Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View

    H-Y Cho, Kyungsu Lee, H-L Yang, C-W Jung, H-P Park, Jae Youn Hwang, Hyoun-Joong Kong, and Hyung-Chul Lee

    Anaesthesia, Vol. 78, No. 1, pp. 64–72

  2. Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases

    Kyungsu Lee, T C Cavalcanti, Sewoong Kim, Hah Min Lew, Dae Hun Suh, Dong Hun Lee, and Jae Youn Hwang

    IEEE Journal of Biomedical and Health Informatics, Vol. 27, No. 1, pp. 176–187

2022

5 papers

Conference

International conference papers

3 papers
  1. CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear

    Kyungsu Lee, Hah Min Lew, Moon Hwan Lee, Jun-Young Kim, and Jae Youn Hwang

    Asian Conference on Computer Vision

  2. Stochastic Adaptive Activation Function

    Kyungsu Lee, Jaeseung Yang, Haeyun Lee, and Jae Youn Hwang

    Neural Information Processing Systems

  3. USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

    Kyungsu Lee, Jaeseung Yang, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, and Jae Youn Hwang

    International Conference on Medical Image Computing and Computer-Assisted Intervention

Journal

Journal articles

2 papers
  1. Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image

    Haeyun Lee, Moon Hwan Lee, Sang-Yeon Lee, Kyungsu Lee, Hah Min Lew, and Jae Youn Hwang

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 69, No. 9, pp. 2638–2650

  2. Boundary-oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images

    Kyungsu Lee, Jun Hee Kim, Haeyun Lee, Juhum Park, Jihwan P Choi, and Jae Youn Hwang

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, pp. 1–17

2021

6 papers

Conference

International conference papers

1 paper
  1. Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images

    Kyungsu Lee, Haeyun Lee, and Jae Youn Hwang

    International Conference on Computer Vision

Journal

Journal articles

5 papers
  1. Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media

    Thiago C. Cavalcanti, Hah Min Lew, Kyungsu Lee, Sang-Yeon Lee, Moo Kyun Park, and Jae Youn Hwang

    Biomedical Optics Express, Vol. 12, No. 12, pp. 7765–7779

  2. Domain Adaptive Transfer Attack-based Segmentation Networks for Building Extraction from Aerial Images

    Younghwan Na, Jun Hee Kim, Kyungsu Lee, Juhum Park, Jae Youn Hwang, and Jihwan P Choi

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No. 6, pp. 5171–5182

  3. Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

    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

    JMIR Medical Informatics, Vol. 9, No. 5, Art. e25869

  4. Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images

    Haeyun Lee, Kyungsu Lee, Jun Hee Kim, Younghwan Na, Juhum Park, Jihwan P Choi, and Jae Youn Hwang

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 4139–4149

  5. Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear

    Kyungsu Lee, Jun-Young Kim, Moon Hwan Lee, Chang-Hyuk Choi, and Jae Youn Hwang

    Sensors, Vol. 21, No. 6, Art. 2214

2020

3 papers

Journal

Journal articles

3 papers
  1. Fully-automatic Deep Learning-based Analysis for Determination of the Invasiveness of Breast Cancer Cells in an Acoustic Trap

    Sang-Yeon Lee, Kyungsu Lee, Jeehoon Son, In-Hwan Yang, and Jae Youn Hwang

    Biomedical Optics Express, Vol. 11, No. 6, pp. 2976–2995

  2. Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears

    Moon Hwan Lee, Jun-Young Kim, Kyungsu Lee, Chang-Hyuk Choi, and Jae Youn Hwang

    IEEE Access, Vol. 8, pp. 65472–65487

  3. Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool

    Thiago Coutinho Cavalcanti, Sewoong Kim, Kyungsu Lee, Sang-Yeon Lee, Moo Kyun Park, and Jae Youn Hwang

    Journal of Biophotonics, Vol. 13, No. 6, Art. e2452

Other Proceedings

9 papers

2025

9 papers

Additional conference proceedings and presentations

9 papers
  1. Anatomy-Aware Distillation with Memory-Augmented SAM2 for Fracture Detection

    Dong-Jun Kang, and Kyungsu Lee

    2025

  2. Anatomy-Aware Distillation with Memory-Augmented SAM2 for Fracture Detection

    Dong-Jun Kang, and Kyungsu Lee

    The Korean Society of Medical and Biological Engineering 2025 Fall Conference

  3. SAM2-based Bayesian Prompt Adaptation for Cross-Modality Medical Segmentation

    Sakang Hong, Jun-Yung Kim, and Kyungsu Lee

    2025

  4. Memory-Guided Personalization for Physician-Specific Diagnostic Inference

    Jong-hyuk Ahn, Seo-Yeon Choi, and Kyungsu Lee

    IEEE/CVF International Conference on Computer Vision Workshops (Computer Vision for Automated Medical Diagnosis)

  5. Patient-Centric Statistical Multi-Modal Fusion for Medical Diagnosis: Integrating DICOM, Radiomics, and Patient Attributes

    Seo-Yeon Choi, and Kyungsu Lee

    IEEE/CVF International Conference on Computer Vision Workshops (Vision-Based AI for Digital Health)

  6. Statistical Latent Manifold-Guided Framework for Generative Super-Resolution

    Kyungsu Lee, Seo-Yeon Choi, and Jong-hyuk Ahn

    2025 Second International Conference on Artificial Intelligence for Medicine, Health, and Care

  7. Statistical Multi-Modal Fusion for Patient-Centric Medical Diagnosis Using DICOM

    Seo-Yeon Choi, Haeyun Lee, and Kyungsu Lee

    2025 Second International Conference on Artificial Intelligence for Medicine, Health, and Care

  8. Statistical Latent Manifold-Guided Framework for Generative Super-Resolution

    Seo-Yeon Choi, and Kyungsu Lee

    (KCC 2025)

  9. Interactive Few-shot Online Adaptation for User-Guided Segmentation in Aerial Images

    Yeongsu Kim, and Kyungsu Lee

    The Thirteenth International Conference on Learning Representations Workshop