Journals

[2025]

[2024]

1. Hansang Lee, Deokseon Kim, Joonseok Lim, and Helen Hong*, "Class-Wise Combination of Mixture-Based Data Augmentation for Class Imbalance Learning of Focal Liver Lesions in Abdominal CT Images," Journal of Imaging Informatics in Medicine, Jan. 2025.

2. Hye Ryun Kim, Gahee Ahn, Helen Hong*, and Bong-Seog Kim, "Enhancing Two-Year Recurrence-Free Survival Prediction in Non-Small Cell Lung Cancer (NSCLC) Patients Using Tumor-Centric Attention Network (TCA-Net)," Journal of Medical and Biological Engineering, Vol. 44, pp. 628-633, Aug. 2024. 

[2023]

3. Julip Jung, Helen Hong* and Sung Il Hwang, "Improving Predictive Ability of Prostate Cancer Aggressiveness Using Multi‑Modal Radiomic Features and Feature‑Level Correlations in Multi‑parametric MRI," Journal of Medical and Biological Engineering, Vol. 44, pp. 24-34, Dec. 2023.

4. Jong Won Park, Hansang Lee, Helen Hong* and Jinsil Seong*, "Efficacy  of  Radiomics in Predicting Oncologic  Outcome of Liver-Directed Combined Radiotherapy in Locally  Advanced Hepatocellular  Carcinoma," Cancers, Vol. 15, No. 5405, pp. 1-14, Nov. 2023.

5. Jumin Lee, Min Jin Lee, Bong Seog Kim and Helen Hong*, "Automated lung tumor segmentation robust to various tumor sizes using a consistency learning-based multi-scale dual-attention network," Journal of X-Ray Science and Technology, Vol. 31, No. 5, pp. 879-892, Jul. 2023.

[2025]

1. Heeyoung Jeong, Joon Ho Wang and Helen Hong*, "제한된 레이블 데이터 환경에서 적응형 가중치 전략을 적용한 준지도학습 기반 반월상 연골 분할 (Semi-supervised meniscus segmentation with adaptive weighting strategies in a limited labeled data environment)," Journal of Korea Computer Graphics Society (KCGS), Vol. 31, No.2, pp. 27-36, 2025.

2. Chaelin Lee, Hansang Lee, Nieun Seo, Joonseok Lim and Helen Hong, "맥락 정보 조절 및 위양성 분류기를 통한 MRE 영상에서 염증성 장질환 검출 (Detection of Inflammatory Bowel Disease in MRE Images Using Contextual Information Modulation and Detection Refinement Classifier)," Journal of Korea Computer Graphics Society (KCGS), Vol. 31, No.2, pp. 37-45, 2025.

3. Hansang Lee⁰, Seohyun Lee⁰, Nieun Seo, Joonseok Lim and Helen Hong*, "다중 슬라이스 다중 라벨 기반의 공간적 맥락 정보 학습을 통한 MRE 영상에서 장 염증성 질환 검출 (Detection of Inflammatory Bowel Diseases in MRE Images Using Multi-Slice Multi-Label Spatial Context Learning)," Journal of Korea Computer Graphics Society (KCGS), Vol. 31, No.1, pp. 15-23, 2025.

4. Hyeonjin Kim⁰, Haehyun Lee⁰, Seorin Choi⁰ and Helen Hong*, "복부 CT 영상에서 전역적 및 지역적 문맥 정보를 고려한 트랜스포머 기반 신장 분할 (Transformer-Based Kidney Segmentation Considering Global and Local Context in Abdominal CT Images)," Journal of Korea Multimedia Society (KMMS), Vol. 28, No. 1, pp.75-82, 2025.

[2024]

5. Yejin Shin, Min Jin Lee, Sung Il Hwang and Helen Hong*, "다중 파라미터 MR 영상 융합과 자기지도학습 모델의 추가 학습을 통한 전립선암 악성도 예측 (Enhanced Performance of Prostate Cancer Aggressiveness Prediction through Fusion of Multi-parametric MR Images and Additional Training of a Self-supervised Learning Model)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 5, pp. 1-9, 2024. 

6. Min Jin Lee, Se Hee Kim and Helen Hong*, "흉부 CT 영상에서 듀얼 윈도우 영상을 활용한 트랜스포머 기반 폐암 분할 (Transformer-based Lung Cancer Segmentation Using Dual Window Images in Chest CT Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 5, pp. 31-37, 2024.

7. Hansang Lee, Arha Woo, and Helen Hong*, "의료영상 분류를 위한 심층신경망 훈련에서 StyleGAN 합성 영상의 데이터 증강 효과 분석 (Data Augmentation Effect of StyleGAN-Generated Images in Deep Neural Network Training for Medical Image Classification)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 4, pp. 19-29, 2024.

8. Goun Kim⁰, Jinseo An⁰, Yubeen Lee and Helen Hong*, "부분 신장 절제술 계획을 위한 하이브리드 CNN-트랜스포머 네트워크를 활용한 신장 종양 분할 (Kidney Tumor Segmentation Using a Hybrid CNN-Transformer Network for Partial Nephrectomy Planning)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 4, pp. 11-18, 2024.

9. Min Jin Lee⁰, Yoon-Seon Oh⁰ and Helen Hong*, "흉부 CT 영상에서 심층 감독 및 하이브리드 병변 초점 손실 함수를 활용한 폐암 분할 개선 (Enhanced Lung Cancer Segmentation with Deep Supervision and Hybrid Lesion Focal Loss in Chest CT Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 1, pp. 11-17, 2024.

[2023]

10. Heeyoung Jeong, Hyeonjin Kim and Helen Hong*, "복부 CT 영상에서 신장 로컬 가이드 맵을 활용한 평균-교사 모델 기반의 준지도학습을 통한 신장 종양 분할 (Kidney  Tumor  Segmentation  through  Semi-supervised Learning Based  on  Mean  Teacher  Using  Kidney  Local  Guided  Map  in  Abdominal  CT  Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 29, No. 5, pp. 21-30, 2023.

11. Yoon Jo Kim, Julip Jung, Sung Il Hwang and Helen Hong*, "다중 MR 영상에서 크기 정규화 및 다중 손실함수를 사용한 딥러닝 모델 기반 전립선암 악성도 예측 개선 (Improvement of Prostate Cancer Aggressiveness Prediction Based on the Deep Learning Model  Using Size Normalization and Multiple Loss Functions on Multi-parametric MR Images)," Journal of Korean Institute of Information Scientists and Engineeris (KIISE), Vol. 50, No. 10, pp. 866-873, 2023.

12. Yejin Shin, Min Jin Lee, Helen Hong* and Sung Il Hwang, "다중 파라미터 MR 영상에서 유사 의료 영상으로 미세 조정한 자기지도학습 모델을 사용한 전립선암 악성도 예측 성능 개선 (Improvement of Prostate Cancer Aggressiveness Prediction Performance Using a Self-Supervised Learning Model Fine-Turned on Similar Medical Images from Multi-parametric MR Images)," Journal of Korea Multimedia Society (KMS), Vol. 26, No. 8, pp. 995-1002, 2023.

13. Deokseon Kim⁰, Ahra Woo⁰, Hansang Lee⁰ and Helen Hong*, "복부 CT 영상에서 심층 합성곱 신경망 기반의 국소 간 병변 분류를 위한 데이터 증강 기법의 효과 분석 (Effect of Data Augmentation Techniques for Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks in Abdominal CT Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 29, No. 2, pp. 1-11, 2023.

14. Jinseo An, Min Jin Lee, Kyu Won Shim and Helen Hong*, "안면부 CT 영상에서 U-Net 구조의 개선된 스킵 연결을 사용한 안와 분할 (Orbital Bone Segmentation using Improved Skip Connection of U-Net Structure in Facial CT Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 29, No. 2, pp. 13-20, 2023.