Conference

[2026]

1. Min Jin Lee, Eun Bin Cho, Joon Ho Wang and Helen Hong*,  "Towards Multi-modal Foundation Model Adaptation for Meniscus Segmentation," International Forum on Medical Imaging in Asia (IFMIA 2026), Jan. 2026. (Accepted)

2. Hansang Lee, Chaelin Lee, Nieun Seo, Joon Seok Lim and Helen Hong*,  "Diffusion-based Detection of Bowel Inflammation in MRE with Foundation Model-driven Zero-Shot Bowel Segmentation," International Forum on Medical Imaging in Asia (IFMIA 2026), Jan. 2026. (Accepted)

3. Hansang Lee, Seohyun Lee, Sung Il Hwang and Helen Hong*, "Beyond CLIP: Clinical Knowledge-Guided Vision-Language Fusion for Prostate Cancer Aggressiveness Prediction," International Forum on Medical Imaging in Asia (IFMIA 2026), Jan. 2026. (Accepted)

4. Yejin Shin , Min Jin Lee , Sung Il Hwang and Helen Hong*, "Prostate cancer aggressiveness prediction via Diffusion Autoencoderbased self-supervised representation learning from Multi-Parametric MRI", SPIE Medical Imaging 2026 (SPIE 2026), Feb. 2026. (Accepted) [Oral Presentation]

5. Chaelin Lee, Hansang Lee, Nieun Seo, Joon Seok Lim and Helen Hong*, "Anatomy‑aware diffusion‑based detection of bowel inflamed lesions in MRE with foundation model‑based unsupervised bowel segmentation", SPIE Medical Imaging 2026 (SPIE 2026), Feb. 2026. (Accepted) [Oral Presentation]

6. Seohyun Lee, Hansang Lee, Sung Il Hwang and Helen Hong*, "Primary modality‑focused hierarchical fusion for prediction of prostate cancer aggressiveness in multi‑parametric MR images", SPIE Medical Imaging 2026 (SPIE 2026), Feb. 2026. (Accepted) [Oral Presentation]

[2025]

7. Hye Ryun Kim, Kyongmin S. Beck, Jin Hyoung Kang and Helen Hong*, "Improving Recurrence Prediction in NSCLC Patients using a Multimodal Deep Learning Model with Clinical Data and Deep Image Feature Integration via Dimensionality Transformation," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2025), Dec. 2025. (Accepted)

8. Hansang Lee, Chaelin Lee, Seohyun Lee, Nieun Seo, Joonseok Lim and Helen Hong*, "CONTEXT-AWARE DEEP LEARNING ENABLES EXPERT-LIKE BOWEL INFLAMMATION DETECTION IN MRE IMAGES," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2025), Dec. 2025. (Accepted)

9. Jinseo An, Min Jin Lee, Kyu Won Shim and Helen Hong*, "From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation," In Proc. of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Sep. 2025. [Early Accepted (top 9%)]

10. Chaelin Lee, Hansang Lee, Nieun Seo, Joon Seok Lim and Helen Hong*, “Context-aware focal modulation for detection of inflammatory bowel diseases from MRE images”, In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2025 (SPIE MI 2025), Feb. 2025.

11. Goun Kim⁰, Min Jin Lee⁰ and Helen Hong*, “Comparative study on kidney tumor segmentation for partial nephrectomy planning using hybrid CNN-transformer networks”, In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2025 (SPIE MI 2025), Feb. 2025. [Oral Presentation]

12. Jinseo An, Min Jin Lee, Kyu Won Shim and Helen Hong*, "Improving orbital bone segmentation with diffusion models and consensus-based refinement in facial CT images," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2025 (SPIE MI 2025), Feb. 2025.  [Oral Presentation]

[2024]

13. Min Jin Lee, Youn-Seon Oh, and Helen Hong*, "Improved Segmentation of Lung Tumors with Varied Sizes and Attachments Using Dual-Window Full-Scale Segmentation Network," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.

14. Min Jin Lee, Youn-Seon Oh, and Helen Hong*, "Comparative Analysis of Lung Tumor Segmentation with CNN-Based Approaches Using Dual-Window Images in Various Fusion Methods," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.

15. Hansang Lee, S. Lee, N. Seo, J. Lim, and Helen Hong*, "Detection of Inflammatory Bowel Diseases in MRE Images with Spatially Context-aware YOLOv4," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.

16. Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong*, "Guidance for Correcting Segmentation Errors using Conditional Diffusion Models Trained on Diverse Annotation Masks in CT Images," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.

17. Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong*, "Enhancing Orbital Bone Segmentation Accuracy in CT Images using Prompt-based Segmentation with Selective Multiple Point Prompts," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.

18. Hye Ryun Kim, Kyongmin S. Beck, Jin Hyoung Kang and Helen Hong, "Improved prediction of relapse-free survival of NSCLC patients by integrating clinical and deep radiomic features through multimodal feature fusion and tumor-centric attention deep learning model," Korean Congress of Radiology and Annual Delegate Meeting of The Korean Society of Radiology (KCR 2024), Oct. 2024. [Oral Presentation]

19. Hye Ryun Kim, Kyongmin S. Beck, Jin Hyoung Kang and Helen Hong, "Prediction of relapse-free survival of NSCLC patients through multimodal data fusion using deep learning model," World Conference on Lung Cancer (WCLC 2025), Sep. 2024.

20. Julip Jung, Yoon Jo Kim, Helen Hong* and Sung Il Hwang, "Enhancing robustness in prostate cancer aggressiveness prediction: a study of test-time augmentation-based ensemble methods," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2024 (SPIE MI 2024), Feb. 2024.  [Oral Presentation]

21. Hye Ryun Kim, Jumin Lee, Helen Hong* and Bong-Seog Kim, "Enhancing lung tumor segmentation: a comparative study of CNN-based network with multi-scale strategies and attention mechanisms and hybrid transformer-CNN network," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2024 (SPIE MI 2024), Feb. 2024.  

[2023]

22. Hansang Lee, Deokseon Kim, Joon Seok Lim and Helen Hong*, "Class-wise Combination of Data Augmentation Can Enhance Learning on Class Imbalanced Dataset" The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), Nov. 2023.

23. Hansang Lee, Ahra Woo, Joon Seok Lim and Helen Hong, "Joint Generative and Mixture Data Augmentation for Metastatic Focal Liver Lesion Classification in Abdominal CT Images," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), Nov. 2023.

24. Jinseo An, Min Jin Lee, Helen Hong* and Kyu Won Shim, "Evaluation of segmentation performance using multiple reference standards for accurate orbital bone modeling in cranio-maxillofacial surgery: based on MSDA-Net deep learning segmentation," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), Nov. 2023.

25. Sera Im, Min Jin Lee, Helen Hong and Sea Cheol Min, "Machine learning application to correlate the efficacy of microbial reduction in celery using plasma-activated water (PAW) and the physicochemical properties of PAW," 2023 Korean Society of Food Science and Technology(KoSFoST) International Symposiun and Annual Meeting, Jun. 2023.

26. Yoonjo Kim, Minjin Lee, Helen Hong* and Sung Il Hwang, "Deep Regression Model with Ordinal and Triplet Loss for the Prediction of Prostate Cancer Aggressiveness in Multiparametric MR Images," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2023 (SPIE MI 2023), Feb. 2023.  

27. Heeyoung Jeong, Hyeonjin Kim, Helen Hong*, Dae Chul Jung, Kidon Chang and Koon Ho Rha, "Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2023 (SPIE MI 2023), Feb. 2023.  

28. Hye Ryun Kim, Gahee Ahn, Bong-Seog Kim and Helen Hong*,  "AI-based predictive model with sequential channel and spatial attentions for two-year recurrence-free survival of non-small cell lung cancer(NSCLC) patients from preoperative CT Images," International Forum on Medical Imaging in Asia (IFMIA 2023), Jan. 2023.

29. Julip Jung, Sung Il Hwang and Helen Hong*,  "Prostate cancer aggressiveness prediction model based on deep convolutional neural network using test time augmentation in multi-parametric MRI," International Forum on Medical Imaging in Asia (IFMIA 2023), Jan. 2023.  [Oral Presentation]

30. Hyeonjin Kim and Helen Hong*,  "Self-supervised Learning for Kidney Segmentation in Abdominal CT Images," International Forum on Medical Imaging in Asia (IFMIA 2023), Jan. 2023. 

31. Jinseo An, Min Jin Lee, Jumin Lee, Kyu Won Shim and Helen Hong*,  "MSDA-Net: Multi-Scale Dual-Attention Network for Orbital Bone Segmentation in Facial CT Images," International Forum on Medical Imaging in Asia (IFMIA 2023), Jan. 2023.  [Oral Presentation]

[2025]

1. Chaelin Lee, Hansang Lee, Nieun Seo, Joonseok Lim and Helen Hong*, "파운데이션 모델 기반 장 분할을 활용한 해부학적 맥락 정보 반영 DiffusionDet 모델을 이용한 MRE 영상에서 장 염증 탐지," In Proc. of the Annual Conference of Korean Society of Imaging Informatics in Medicine (KSIIM), 2025.

2. Seohyun Lee, Hansang Lee, Sung Il Hwang and Helen Hong*, "교차-모달리티 어텐션과 동적 모달리티 가중치를 활용한 다중 파라미터 MR 영상에서의 전립선암 악성도 예측," In Proc. of the Annual Conference of Korean Society of Imaging Informatics in Medicine (KSIIM), 2025.

3. Yejin Shin, Min Jin Lee, Sung Il Hwang and Helen Hong* , "확산 모델 기반 오토인코더와 어텐션 융합을 통한 다중 파라미터 MR 영상 기반 전립선암 악성도 예측," In Proc. of the Annual Conference of Korean Society of Imaging Informatics in Medicine (KSIIM), 2025.

4. Eun-Bin Cho⁰, Min Jin Lee⁰ and Helen Hong, "멀티모달 사전학습 모델을 활용한 복부 CT 영상의 장기 분할 (Organ Segmentation in Abdominal CT Images using Multimodal Pretrained Model)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2025.

5. Jooyoung Kwon⁰, Hyeonsoo Ham⁰ and Helen Hong, "영유아 수면 중 안전사고 위험 감지를 위한 SAM2 기반 객체 분할 (Evaluation of SAM2's Object Segmentation Performance for Safety Accident Detection during Infant Sleep)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2025.

[2024]

6. Kun Ah Kim and Helen Hong*, "복합 손실 함수 적용을 통한 시각장애인 얼굴 인식 모델 성능 개선 (Performance Improvement of Face Recognition Model for the Visually Impaired Using Combined Loss Function)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2024.

7. YeonJu Kim⁰, Solmi Park⁰, Seohyun Hwang⁰ and Helen Hong*, "KoBERT를 활용한 뮤지컬 소개 및 리뷰 데이터 기반 추천 시스템 (Musical introduction and review data-based recommendation system using KoBERT)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2024.

8. Eun Su Kim⁰, Seo Hyun Lee⁰ and Helen Hong*, "트랜스포머와 Mediapipe 기반의 한국어 수화 인식 (Korean Sign Language Recognition Based on Transformer and Mediapipe)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2024.

9. Yu Jin Lee and Helen Hong*, "딥러닝을 이용한 침윤성 유관 암종의 양성 및 악성 판별 사례 (Benign and Malignant Discriminant Cases of Invasive Ductal Carcinoma Using Deep Learning)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2024.

10. Ji Hee Lee and Helen Hong*, "YOLOv5 모델의 초서체 한자 검출 성능 향상을 위한 고서 이미지 전처리 이진화 기법 비교 (A Comparative Study on Binarization Techniques for Enhancing the Performance of YOLOv5 in Detecting Cursive Chinese Characters in Ancient Document Images)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2024.

11. Jihye Ko and Helen Hong*, "합성 데이터를 활용한 유방암 주요 생존 예측 변수 분석 (Analysis of  Significant Predictive Variables  for Breast  Cancer Survival Using Synthetic Data)," In Proc. of the Conference of Institute of Internet, Broadcasting and Communication (IIBC), 2024.

12. Kyu Ri Oh⁰, Jae Young Choi⁰, Julip Jung⁰ and Helen Hong*, "Vision Transformer를 활용한 전립선암 악성도 예측 (Prediction of Prostate Cancer Aggressiveness Using Vision Transformer)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2024.

13. Seo Hyun Lee⁰, Hansang Lee⁰ and Helen Hong*, "YOLOv4 기반 연속 슬라이스의 공간정보를 반영한 장 염증성 질환 검출 (Detection of Chronic Inflammatory Disease Incorporating Spatial Information of Continuous Slices Based on YOLOv4)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2024.

14. Hae Hyun Lee⁰, Seorin Choi⁰, Hyeonjin Kim⁰ and Helen Hong*, "전역적 문맥 고려를 통한 부분신장절제술을 위한 트랜스포머 기반 신장 분할 (Transformer-Based Renal Segmentation for Partial Nephrectomy Considering Global Context)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2024.

[2023]

15. Ji Yeon Kim⁰, Goun Kim⁰ and Helen Hong*, "농산물 직거래를 위한 포스터 자동 생성 시스템 (Automatic poster generation system for direct trade of agricultural products)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2023.

16. Yejin Song⁰, Hyoseon Jang⁰, Hyeonjin Kim⁰ and Helen Hong*, "복부 CT 영상에서 직소 퍼즐 기반 자기지도학습을 통한 신장 분할 (Kidney segmentation through jigsaw puzzle-based self-supervised learning in abdominal CT images)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2023.

17. Ye Jin Shin⁰, Min Jin Lee⁰ and Helen Hong*, "MR 영상에서 대조학습을 이용한 전립선암의 악성도 예측 (Prediction of Prostate Cancer Aggressiveness using Contrastive Learning in MR Images)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2023.

18. Yoon Seon Oh⁰, Min Jin Lee⁰ and Helen Hong*, "흉부 CT 영상에서 Unet 과 Unet3+ 분할 모델을 사용한 다양한 크기의 폐암 분할 (Lung Tumor Segmentation with Various Tumor Size using Unet and Unet3+ segmentation models in Chest CT images)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2023.

19. Ahra Woo⁰, Hansang Lee⁰, JoonSeok Lim and Helen Hong*, "복부 CT 영상에서 StyleGAN 기반 데이터 증강을 통한 심층 합성곱 신경망 기반 국소 간 병변 분류 (Classification of Focal Liver Lesions in Abdominal CT Images using Convolutional Neural Networks with StyleGAN Data Augmentation)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2023.

20. Yoon Jo Kim, Sung Il Hwang, Julip Jung and Helen Hong*, "Deep learning based prediction of prostate cancer grade on multiparametric MR images using tumor- guided Dual-Branch network," The 70th Korean Congress of Radiology and Annual Delegate Meeting of the Korean Society of Radiology (KCR 2023), 2023.

21. Mi Jin Kim⁰, Gyu Min⁰ and Helen Hong*, "Mask R-CNN을 활용한 세포 이미지 분할 (Cell Image Segmentation Using Mask R-CNN)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

22. Se Hee Kim⁰, Min Ji Koo⁰, Yun Hee Hwang⁰ and Helen Hong*, "한국어 학보 요약을 위한 요약 모델의 성능 비교 (Performance Comparison of Summary Models for Korean Academic Journals)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

23. So Yeon Kim and Helen Hong*, "시각 장애인을 위한 편의점 상비약 인식 시스템 구축 (Building A convenience store medicine recognition system for the visually impaired)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

24. Hee Young Kim⁰, Jieun Yeo⁰, Sowon Yoon⁰ and Helen Hong*, "시퀀스-투-시퀀스 모델의 어텐션 메커니즘 유무에 따른 성능 차이 (Performance difference depending on the presence or absence of Attention in the seq2seq model)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

25. Ha Neul Nam⁰, Se Hee Moon⁰, I Rin Yang⁰ and Helen Hong*, "코사인 유사도를 이용한 키워드 기반 향수 추천 시스템 (Keyword-based perfume recommendation system using cosine similarity)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

26. Seung Ju Suh⁰, Yeon Jae Nam⁰, Yu Sun Choi⁰ and Helen Hong*, "여성 시각장애인 대상 성분 기반 생리대 추천 서비스 (Ingredient-based sanitary pad recommendation service for visually impaired women)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

27. Seo Yu Yang⁰, Chan Woo Lee⁰, Min Jin Lee⁰ and Helen Hong*, "임상 특징 기반 머신러닝을 활용한 비소세포폐암 환자의 2 년 무재발 생존 예측 분석 (Analysis of 2-Year Recurrence-Free Survival Prediction in Non-Small Cell Lung Cancer Patients using Clinical Features based Machine Learning)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

28. Yubeen Lee⁰, Goun Kim⁰, Jinseo An⁰, Heeyoung Jeong and Helen Hong*, "트랜스포머 기반의 UNETR++를 사용한 복부 CT 영상에서 신장 종양 자동 분할 (Automated Kidney Tumor Segmentation in Abdominal CT Images Using Transformer-Based UNETR++)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

29. Ji Won Lee and Helen Hong*, "도시화 수준에 따른 빛 공해량 추정 모델 개발 (Development of Prediction Model for Light Pollution by Urbanization)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.

30. Chaelin Lee and Helen Hong*, "사이버 스토킹 문자의 혐오표현 감지를 위한 딥러닝 감성분석 (Deep Learning Sentiment Analysis for Detecting Hate Expressions in Cyber Stalking Characters)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.