Conference & Workshop Publications

1. Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli, Sang Hyun Park, Sunghoon Im, "Latest Object Memory Management for Temporally Consistent Video Instance Segmentation," ICCV 2025

2. Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im, Kyong Hwan Jin, "JPEG Processing Neural Operator for Backward-Compatible Coding," ICCV 2025

3. Eojin Jang, Myeongkyun Kang, Soopil Kim, Min Sagong, Sang Hyun Park, "Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification," MICCAI 2025

4. Seung-eon Lee, Soopil Kim, Sion An, Sang-Chul Lee, Sang Hyun Park, "Logical Anomaly Detection with Text-based Logic via Component-Aware Contrastive Language-Image Training", 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025

5. Yae Won Park, Myeongkyun Kang, Sang Hyun Park, Sung Soo Ahn, "Glio-LLaMA-Vision: A Vision-Language Model for Molecular Prediction, Radiology Report Generation, and VQA in adult-type Diffuse Gliomas", ISMRM 2025

6. Muyul Park, Jeongtae So, Young-Jun Jung, Mikiko Ito, BYUNG KEE LEE, Gyeongmin Lee, Sang Hyun Park, "Self-supervised Deformable Registration of Digital Tomosynthesis and 3D CT Images for Surgical Navigation ", SPIE Medical Imaging 2025

7. Hyun Namgung, Siwoo Nam, Soopil Kim, Sang Hyun Park, "MC-NuSeg: Multi-Contour Aware Nuclei Instance Segmentation with Segment Anything Model", IPMI 2025

8. Wafa Arsalane, Philip Chikontwe,  Miguel Luna, Myeongkyun Kang, Sang Hyun Park, " Context-Guided Medical Visual Question Answering," MICCAI EMERGE Workshop, 2024 

9. Sungjun Wang, Junghyun Seo, Hyeonjae Jeon, Sungjin Lim, Sang Hyun Park, Yongseob Lim, "Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching," IROS 2024

10. Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sang Hyun Park, "InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations," MICCAI 2024

11. Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sang Hyun Park, "Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification," MICCAI 2024

12. Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park, "Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification," MICCAI 2024

13. Sion An, Li Shen, Sang Hyun Park, "Motor Imagery EEG Signal Generation from Resting-State Signal," IEEE EMBC 2024

14. Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Sang Hyun Park, "Sam for Weakly Supervised Nuclei Instance Segmentation," IEEE EMBC 2024

15. Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, "Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection," AAAI, 2024.

16. Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, and Sang Hyun Park, "PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation," MICCAI, 2023

17. Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, “One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation,” MICCAI, 2023

18. Wei Peng, Ehsan Adeli, Tomas Bosschieter, Sang Hyun Park, Qingyu Zhao, Kilian M. Pohl, “Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model,” MICCAI, 2023 

19. Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, and K. H. Jin, “ABCD : Arbitrary Bitwise Coefficient for De-quantization,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

20. Siwoo Nam, Myeongkyun Knag, Dongkyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, and Sang Hyun Park, "Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor," MICCAI Prime workshop, 2022

21. John David Prada Prieto, Miguel Luna, Sang Hyun Park, Cheol Song, "A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment," IROS, 2022

22. Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Hyun Jung Sung, and Sang Hyun Park, "Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification," MICCAI, 2022

23. Philip Chikontwe, Soopil Kim, Sang Hyun Park, "CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification," CVPR, 2022

24. Heejung Park, Gyeong Min Lee,  Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park , and Min Sagong, "A Meta-Learning Approach for Medical Image Registration," IEEE International Symposium on Biomedical Imaging, 2022.

25. Dongkyu Won, Eujiin Jung, Sion An, Philip Chikontwe, Sang Hyun Park, "Low-dose CT Denoising using Pseudo-CT Image Pairs," MICCAI PRIME workshop, 2021

26. Myeongkyun Kang, Philip Chikontwe, Miguel Luna, KyungSoo Hong, June Hong Ahn, Sang Hyun Park, "Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing," MICCAI PRIME workshop, 2021

27. Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation, " MICCAI, 2021.

28. Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park, "Bidirectional RNN based Few shot learning for 3D medical image segmentation," AAAI, 2021.

29. Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye, "Low-Dose CT Denoising Using Octave Convolution with High and Low-Frequency Bands", MICCAI PRIME workshop, 2020.

30. Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional generative adversarial network for predicting 3D medical images affected by Alzheimer’s diseases," MICCAI PRIME workshop, 2020.

31. Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heoungjeong Go, Sang Hyun Park, "Multiple Instance Learning with Center Embeddings for Histopathology Classification," MICCAI, 2020.

32. Kyeongmin Lee, Heyju Song, Kwangdeok Seo, Donggeon Park, Gahyung Ryu, Min Sagong, Sang Hyun Park, "Unsupervised Learning Model for Registration of Multi-Phase Ultra-Widefield Fluorescein Angiography," MICCAI, 2020.

33. Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park, "Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification," IROS, 2020.

34. Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park, "Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction," MICCAI Brainlesion workshop, 2019.

35. Asaduz Zaman,  Sang Hyun Park, Luna Miguel, Youngkyun Park, Hyunhee Bang, Chul-woo Park, Ilhuyng Park, Sanghyun Joung,"Real-time 3D Ultrasound Bone Model Reconstruction and Its Registration with MR Bone Model for Localization of Intramedullary Cystic Bone Lesion," ACCAS, 2019.

36. Miguel Luna, Mungi Kwon, Sang Hyun Park, "Precise Separation of Adjacent Nuclei using a Siamese Neural Network," MICCAI, 2019.

37. Ihsan Ullah, Philip ChikonTwe, Sang Hyun Park, "Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks," MICCAI PRIME workshop, 2019. 

38. Ihsan Ullah, Philip Chikontwe, Sang Hyun Park, "Guidewire Tip Tracking using U-Net with Shape and Motion Constraints," ICAIIC, 2019.

39. Miguel Luna, Sang Hyun Park, "3D Patchwise U-Net with Transition Layers for MR Brain Segmentation," MRBrainS18 Challenge, MICCAI, 2018. (Ranked 1st out of 22 teams) 💡Github Code 📄Article

40. Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park, "Enhancement of Perivascular Spaces using a Very Deep 3D Dense Network", PRIME Workshop, MICCAI, 2018.

41. Miguel Luna, Mungi Kwon, Sang Hyun Park, "Nuclei Segmentation by using Deep Learning based Watershed Algorithm," CPM Nuclei Segmentation Challenge, MICCAI, 2018. (Ranked 8th out of 27 teams)

42. Miguel Luna, Sang Hyun Park, "3D Convolutional Neural Network with Skip Connections for WMH Segmentation," WMH Challenge, MICCAI, 2017. (Ranked 6th out of 20 teams)

43. Yong Zhang*, Sang Hyun Park*(co-first author), and Kilian Pohl, "Joint Data Harmonization and Group Cardinality Constrained Classification," MICCAI, 2016.

44. Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, and Dinggang Shen, "Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs," Machine Learning in Medical Imaging, 2016.

45. Jun Zhang, Sang Hyun Park, XiaopengZong, Weili Lin, and Dinggang Shen, "Segmentation of Perivascular SpacesUsing Vascular Features and Structured Random Forest from 7T MR Image," Machine Learning in Medical Imaging, 2016.  

46. Sang Hyun Park, Xiaohuan Cao, Sheng-Che Huang, Xiaopeng Zong, Valerie Jewells, Weili Lin, Hae Won Shin, Dinggang Shen, "Registering Post-Op CT and Pre-Op MR Images for Accurate Localization of  Intraoperative EEG Electrodes," ASNR 2016.

47. Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Coupling of FDG uptake and CBF using simultaneous MR-PET measurements in human temporal lobe epilepsy," ASNR 2016.  

48. Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Hybrid PET/MR shows reduced CBF and glucose uptake in Subdural Electrode Identified Seizure Foci," ASNR 2016.

49. Sang Hyun Park, Yaozong Gao, Dinggang Shen, "Multi-atlas based Segmentation Editing with Interaction-Guided Constraints," MICCAI 2015.  

50. Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen, "Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization," Machine Learning in Medical Imaging, 2014.

51. Sang Hyun Park, Seungyeon Shin, Il Dong Yun, Sang Uk Lee, "Automatic Segmentation of Multiple Objects in Medical Images based on Structured Patch Model," SATA challenge, MICCAI workshop 2013.  

52. Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Data-driven Interactive 3D Medical Image Segmentation based on Structured Patch Model," IPMI 2013.

53. Sang Hyun Park, Il Dong Yun, "Interactive 3D Segmentation Method based on Uncertain Local Region Updating in Hierarchical MRF Graph," SPIE Medical imaging 2013. 

54. Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee, "Automatic bone segmentation in knee magnetic resonance images using a coarse-to-fine strategy," SPIE Medical imaging 2012.

55. Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Learning Local Shape and Appearance for Segmentation of Knee Cartilage in 3D MRI," Medical Image Analysis for the Clinic - Grand Challenge, MICCAI workshop 2010.  

56. Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung-Ho Lee, and g-Sik Kang and Joon-Koo Han, "Fully Automatic 3-D Segmentation of Knee Bone Compartments by Iterative Local Branch-and-Mincut on MR Images FromOsteoarthritisInitiative(OAI)," ICIP 2009.

57. Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "3-D Segmentation of Knee Bones on MR images by Constrained Branch-and-Mincut," Probabilistic Models for Medical Image Analysis, MICCAI workshop 2009.

1. Eojin Jung, Dongkyu Won, Heejung Park, Hyunj00 Lee, Sukjoong Lee, Sang Hyun Park, "딥러닝 기반 경추 자기공명영상 분석을 통한 경추 협착증 유무 및 정도 자동 판별", KCSSIM 2023

2. Heejung Park, Soopil Kim, Sang Hyun Park, "다중 장기 영역화를 위한 이미지 생성을 이용한 원샷 연합학습 기법", KCSSIM 2023

3. Myeongkyun Kang, Sang Hyun Park, "Concept Drift 데이터를 위한 연합학습", IPIU2022.

4. Hyun Namgung, Sang Hyun Park, "다중인스턴스 학습을 활용한 간 지방증 WSI 분류", IPIU2022.

5. Siwoo Nam, Sang Hyun Park, "형상 정보를 활용한 객체 단위의 세포핵 검출 기법", IPIU2022.

6. Dongmin Lee, Sion An, Sang Hyun Park ,"밀도 추정 기반의 복부 CT 및 뇌 MRI 영상에 대한 이상 감지", IPIU2022.

7. Soopil Kim,Philip Chikontwe,Sang Hyun Park, "퓨샷 영역화 모델의 불확실성 학습을 이용한 준지도 학습", IEIE2022.

8. Myeongkyun Kang, Dongkyu Won, Jihyeon Kim, Sang Hyun Park, "Coarse-to-Fine: 3차원 구강악 안면 랜드마크 검출", IEIE2022.

9. Siwoo Nam, Myeongkyun Kang, Abdul Muqeet Bin Tashfeen, Jaehoon Jeong, Dongkyu Won, Sang Hyun Park, "점 레이블과 방향장 회귀를 이용한 병리영상 속 TIL 검출 기법", IEIE2022.

10. Sion An, Soopil Kim, Philip Chikontwe, Heejung Park, Abdul Muqeet Bin Tashfeen, Sang Hyun Park, "퓨샷 운동상상 뇌파 분류를 위한 이중 주의 관계네트워크", IEIE2022.

11. Kwangdeok Seo, Dongkyu Won, Euijin Jung, Sang Hyun Park, "영역화 네트워크와 패치 기반 반복기법을 이용한 구강악 안면 CT 랜드마크 검출 기법", IPIU 2021.

12. Jeonghwan Kim, Soopil Kim, Sang Hyun Park, "다차원 장기-단기 기억장치를 이용한 복부 컴퓨터 단층촬영 영상 췌장 영역화" IPIU 2021.

13. Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park, "3차원 의료영상 영역화를 위한 양방향 순환 신경망 기반 퓨샷 러닝", IPIU2021.

14. Kwangdeok Seo, Kyeongmin Lee, Euijin Jung, Ihsan Ullah, Damhyeon Kwak, Hankyeong Choi, Sang Hyun Park,  “Faster RCNN과 모폴로지 영상처리 기법을 이용한 소동물 접촉여부 분류기술”, IPIU 2020.

15. Euijin Jung, Miguel Luna, Sang Hyun Park,  “3차원 의료영상 생성을 위한 조건부 생성적 적대 신경망”, IPIU 2020.

16. Sion An, Soopil Kim, Sang Hyun Park,  “심층 합성곱 신경망 구조를 이용한 뉴런 활성 신호 검출”, IPIU 2020.

17. Philip Chikontwe, Ihsan Ullah, Sang Hyun Park, “Recurrent Attention Models for Tissue Histopathology Image Classification”, IPIU 2019.

18. Mungi Kwon, Miguel Luna, Sang Hyun Park,  “딥러닝 기반 워터쉐드 알고리즘을 이용한 세포 분할 기법”, IPIU 2019.

19. Gyeongmin Lee, Euijin Jung, Sang Hyun Park, “클래스활성지도를 이용한 안구 질환에 따른 광간섭단층영상 내 특징 추출”, IPIU 2019.

20. Donggyu Won, Sang Hyun Park, "의료영상 내 관심 영역을 효율적으로 레이블링 하기 위한 액티브 러닝 기반 영역화 모델 업데이트 기법", ACKSMR 2018. (Best Poster Award)

21. Euijin Jung, Miguel Luna, Sang Hyun Park, "반지도학습을 사용한 합성곱 신경망 무릎연골 영역화", IPIU 2018. (Best Poster Award)

22. Miguel Luna, Euijin Jung, Sang Hyun Park,  "딥 뉴럴 네트워크를 이용한 MR 영상 내의 뇌백질 고강도 신호의 자동 추출", IPIU 2018. (Bronze Paper Award)

23. Ihsan Ullah, Sang Hyun Park, "Catheter Tip Segmentation Using Patch-wise UNET", IPIU 2018.