Publications

2025 [7J, 7C]

[J57] Jihyeon Kim, Gyeongmin Lee, Seungyeon Shin, Soopil Kim, Sanghyun Park, "MOSInversion: Knowledge Distillation-based Incremental Learning in Organ Segmentation Using DeepInversion", Computers in Biology and Medicine. 

[J56] Joon Kim, Hoyeon Lee, Jonghyeok Park, Sang Hyun Park, Myungjae Lee, Leonard Sunwoo, Chi Kyung Kim, Beom Joon Kim, Dong-Eog Kim, Wi-Sun Ryu "In-silo federated learning vs. centralized learning for segmenting acute and chronic ischemic brain lesions", Intelligence-Based Medicine, 2025.

[J55] Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park, "Subject-Adaptive Meta-Learning for Personalized BCI: A Fusion of Resting-State EEG Signal and Task-Specific Information", Information Fusion, 2025.

[J54] Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, "Efficient One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation," Medical Image Analysis, 2025

[C57] 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

[C56] 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

[C55] 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

[C54]  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

[C53] 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

[C52] 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

[C51] Hyun Namgung, Siwoo Nam, Soopil Kim, Sang Hyun Park, "MC-NuSeg: Multi-Contour Aware Nuclei Instance Segmentation with Segment Anything Model", IPMI 2025

[J53] Soopil Kim, Heejung Park,  Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, "Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation with Image Synthesis", IEEE Transactions on Medical Imaging, 2025

[J52] Dongkyu Won, Hyun-Joo Lee, Suk-joong Lee, Sang Hyun Park, "Lumbar spinal stenosis grading in multiple level magnetic resonance imaging using deep convolutional neural networks", Global Spine Journal, 2025.

[J51] Philip Chikontwe, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park, "FR-MIL: Distribution Re-calibration based Multiple Instance Learning with Transformer for Whole Slide Image Classification," IEEE Transactions on Medical Imaging, 2025

2024 [10J, 8C]

[J50] Areum Jeong, Hyeongjun Park, Kyungmin Lee, Sang Hyun Park & Min Sagong, "Topographic analysis of retinal and choroidal vascular displacements after macular hole surgery, " Scientific Reports, 2024 

[J49] Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park, "Few-shot Anomaly Detection using Positive Unlabeled Learning with Cycle Consistency and Co-occurrence Features," Expert Systems with Applications, 2024.

[J48] Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sang Hyun Park, "Video Domain Adaptation for Semantic Segmentation using Perceptual Consistency Matching, " Neural Networks, 2024📄Article

[J47] Dongkyu Jung, Myeongkyun Kang, Sang Hyun Park, Nizar Guezzi, Jaesok Yu, "Unsupervised speckle noise reduction technique for clinical ultrasound imaging," Ultrasonography, 2024

[C50] Wafa Arsalane, Philip Chikontwe,  Miguel Luna, Myeongkyun Kang, Sang Hyun Park " Context-Guided Medical Visual Question Answering," MICCAI EMERGE Workshop, 2024 📄Article

[C49] 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📄Article

[C48] 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

[C47] Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sang Hyun Park, "Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification," MICCAI 2024

[C46] 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 📄Article 💡Github Code

[C45] Sion An, Li Shen, Sang Hyun Park, "Motor Imagery EEG Signal Generation from Resting-State Signal", IEEE EMBC 2024

[C44] Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Sang Hyun Park, "Sam for Weakly Supervised Nuclei Instance Segmentation", IEEE EMBC 2024

[J46] Jeongyoon Lee, Damhyeon Kwak, Gwang Ung Lee, Chan Yeong Kim, Jihoon Kim, Sang Hyun Park, Jee Hyun Choi, Sung Q. Lee, Han Kyoung Choe, "Social context modulates multibrain broadband dynamics and functional brain-to-brain coupling in the group of mice," Scientific Reports, 2024📄Article

[J45] Euijin Jung, Eunjung Kong, Dongwoo Yu, Heesung Yang, Philip Chicontwe, Sang Hyun Park, Ikchan Jeon, "Generation of synthetic PET/MR fusion images from MR images using a combination of generative adversarial networks and conditional denoising diffusion probabilistic models based on simultaneous 18F-FDG PET/MR image data of pyogenic spondylodiscitis," The Spine Journal, 2024.📄Article

[J44] Soopil Kim, Heejung Park,  Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, "Federated Learning with Knowledge Distillation for Multi-Organ Segmentation with Partially Labeled Datasets," Medical Image Analysis, 2024📄Article

[J43] Miguel Luna, Philip Chikontwe, Sang Hyun Park, "Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model," Bioengineering, 2024📄Article

[J42] Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park, "Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation," Computers in Biology and Medicine, 2024.📄Article

[C43] 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.📄Article

[J41] Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park, "FedNN: Federated Learning on Concept Drift Data using Weight and Adaptive Group Normalizations," Pattern Recognition, 2024.📄Article

2023 [10J, 4C]

[J40] Meejeong Kim, Philip Chikontwe, Heounjeong Go, Jae Hoon Jeong, Su-Jin Shin, Sang Hyun Park, Soo Jeong Nam, "Deep Learning for Microsatellite Instability Prediction in Colorectal Cancer: Impact of Clinicopathologic Variables on Model Performance," Journal of Clinical Chemistry and Laboratory Medicine, 2023📄Article

[J39] Sungjun Wang, Junghyun Seo, Hyunjae Jeon, Sang Hyun Park, Yongseob Lim, “Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching”, IEEE Robotics and Automation Letters, 2023 📄Article

[J38] Myeongkyun Kang, Dongkyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park, "Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation," Neural Networks, 2023 📄Article

[J37] Myeongkyun Kang, Philip Chikontwe, Dongkyu Won, Miguel Luna, Sang Hyun Park, "Structure-preserving image translation for multi-source medical image domain adaptation," Pattern Recognition, 2023 📄Article

[C42] 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 📄Article

[C41] 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 📄Article

[C40] 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 📄Article

[J36] Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park, "Dual Attention Relation Network with Fine-Tuning for Few Shot EEG Motor Imagery Classification, " IEEE Transactions on Neural Networks and Learning Systems, 2023 📄Article

[J35] Areum Jeong, Xue Yao, Kyungmin Lee, Sang Hyun Park & Min Sagong, "Clinical implications of choroidal vascular brightness using ultra-widefield indocyanine green angiography in polypoidal choroidal vasculopathy, " Scientific Reports, 2023 📄Article 

[C39] 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

[J34] Ihsan Ullah, Farman Ali, Babar Shah, Shaker EI-Sappagh, Tamer Abuhmed, and Sang Hyun Park, "A Deep Learning based Dual Encoder-Decoder Framework for Anatomical Structure Segmentation in Chest X-ray Images, " Scientific Reports, 2023 📄Article 

[J33] Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park, "Uncertainty-Aware Semi-Supervised Few Shot Segmentation," Pattern Recognition, 2023 📄Article

[J32] Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional GAN with 3D Discriminator for MRI Generation of Alzheimer’s Disease Progression," Pattern Recognition, 2023 📄Article

[J31] S. Divya, Swati Panda, Sugato Hajra, Rathinaraja Jeyaraj, Anand Paul, Sang Hyun Park, Hoe Joon Kim, Tae Hwan Oh, "Smart Data Processing for Energy Harvesting Systems using Artificial Intelligence," Nano Energy, 2023 📄Article

2022 [5J, 5C]

[J30] Farman Ali, Muhammad Shoaib, Tariq Hussain, Babar Shah, Ihsan Ullah, Sayyed Mudassar Shah, Sang Hyun Park, "Deep Learning-based Segmentation and Classification of Leaf Images for Detection of Tomato Plant Disease," Frontiers in Plant Science, 2022 📄Article

[C38] 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📄Article

[C37] 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 📄Article

[J29] Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park, “Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization,” Medical Image Analysis, 2022. 📄Article 💡Github Code

[J28] Hyeongdo Cha, Sion An, Seoyoung Choi, Seungun Yang, Sang Hyun Park, Sukho Park, "Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand through EMG Classification and Proprioceptive Feedback using Rule-based Haptic Device," IEEE Transactions on Haptics, 2022. 📄Article

[C36] 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. 📄Article 💡Github Code

[C35] Philip Chikontwe, Soopil Kim, Sang Hyun Park, "CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification," CVPR, 2022. 📄Article

[J27] Gahyung Ryu, Kyungmin Lee, Donggeun Park, Inhye Kim, Sang Hyun Park, Min Sagong, "A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography," Translational Vision Science & Technology, 2022. 📄Article

[J26] Jaehoon Jeong, Seung Taek Hong, Ihsan Ullah, Eun Sun Kim and Sang Hyun Park, "Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning," Diagnostics, 2022. 📄Article

[C34] Heejung Park, Gyeong Min Lee,  Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park, "A Meta-Learning Approach for Medical Image Registration," IEEE International Symposium on Biomedical Imaging, 2022. 📄Article

2021 [5J, 4C]

[J25] Jae-Won Jang , Yoo Na Kang, Hee Won Seo , Boil Kim , Han Kyoung Choe, Sang Hyun Park , Maan-Gee Lee and Sohee Kim, "Long-term in-vivo recording performance of flexible penetrating microelectrode arrays," Journal of Neural Engineering, 2021. 📄Article

[J24] Gahyung Ryu, Kyungmin Lee, Donggeun Park, Sang Hyun Park & Min Sagong, "A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography ," Scientific Reports, 2021. 📄Article

[C33] Dongkyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park, "Low-Dose CT Denoising Using Pseudo-CT Image Pairs," MICCAI PRIME workshop, 2021. 📄Article

[C32] 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. 📄Article

[C31] 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. 📄Article

[J23] Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park, "Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening, " Medical Image Analysis, 2021. 📄Article

[J22]  Ihsan Ullah, Philip Chikontwe, Hongsoo Choi, Chang Hwan Yoon and Sang Hyun Park, "Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation," Applied Sciences, 2021. 📄Article

[J21] Myeongkyun Kang, Kyung Soo Hong, Philip Chikontwe, Miguel Luna, Jong Geol Jang, Jongsoo Park, Kyeong-Cheol Shin, Sang Hyun Park, June Hong Ahn, "Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective," Journal of Korean Medical Science, Feb. 2021. 📄Article

[C30] Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park, "Bidirectional RNN based Few shot learning for 3D medical image segmentation," AAAI, 2021. 📄Article

2020 [4J, 5C]

[C29] 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. 📄Article

[C28] 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. 📄Article

[C27] Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heoungjeong Go, Sang Hyun Park, "Multiple Instance Learning with Center Embeddings for Histopathology Classification," MICCAI, 2020.   💡Github Code 📄Article

[C26] 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. 📄Article

[J20] Asaduz Zaman, Sang Hyun Park, Hyunhee Bang, Chul-woo Park, Ilhyung Park, Sanghyun Joung "Generative Approach for Data Augmentation for Deep Learning-Based Bone Surface Segmentation from Ultrasound Images," International Journal of Computer Assisted Radiology and Surgery, May. 2020. 📄Article

[J19] Soopil Kim,  Yae Won Park , Sang Hyun Park, Sung Soo Ahn, ong Hee Chang, Se Hoon Kim, Seung-Koo Lee "Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade," Brain Tumor Res Treat, March. 2020. 📄Article

[C25] Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park, "Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification," IROS, 2020. 📄Article

[J18] Yae  Won  Park, Soopil Kim, Sung  Soo  Ahn, Kyunghwa  Han, Seok-Gu  Kang, Jong  Hee  Chang, Se  Hoon  Kim, Seung-Koo  Lee, Sang Hyun Park, "Magnetic Resonance Imaging-based 3-Dimensional Fractal Dimension and Lacunarity Analyses may Predict the Meningioma Grade," European Radiology, March. 2020 . 📄Article

[J17] Donggyu Won, Hyun-Joo Lee, Suk-Joong Lee, Sang Hyun Park, "Spinal Stenosis Grading in Magnetic Resonance Imaging using Deep Convolutional Neural Networks," The Spine Journal, Jan. 2020. 📄Article

2019 [4J, 5C]

[J16] Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, and Dinggang Shen, "An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images," IEEE Journal of Biomedical and Health Informatics, Dec. 2019. 📄Article

[C24] 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. 📄Article

[C23] 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. 📄Article

[C22] Miguel Luna, Mungi Kwon, Sang Hyun Park, "Precise Separation of Adjacent Nuclei using a Siamese Neural Network," MICCAI, 2019. 📄Article

[C21] Ihsan Ullah, Philip ChikonTwe, Sang Hyun Park, "Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks," MICCAI PRIME workshop, 2019.  📄Article

[J15] Ihsan Ullah Khan, Philip ChikonTwe, Sang Hyun Park, "Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames," IEEE Access, vol. 7, pp.159743-159753, Oct. 2019. 📄Article

[J14] Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adria Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Llado, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sebastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park et al., "Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge," IEEE Transactions on Medical Imaging, Mar. 2019. 📄Article

[C20] Ihsan Ullah, Philip Chikontwe, Sang Hyun Park, "Guidewire Tip Tracking using U-Net with Shape and Motion Constraints," ICAIIC, 2019. 📄Article

[J13] Euijin Jung, Philip ChikonTwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park, "Enhancement of Perivascular Spaces using Densely Connected Deep Convolutional Neural Network,” IEEE Access, vol. 7, pp.18382-18391, Feb. 2019. 📄Article

2018 [3J, 3C]

[C19] 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

[C18] 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. 📄Article

[C17] 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) 

[J12] Sang Hyun Park, Yong Zhang, Dongjin Kwon, Qingyu Zhao, Natalie M. Zahr, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl, "Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals," Scientific Reports 8, 8297, May. 2018. 📄Article

[J11] Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen, "Robust Brain ROI Segmentation by Deformation Regression and Deformable Shape Model," Medical Image Analysis, vol. 43, pp. 198-213, Jan. 2018. 📄Article

[J10] Adolf Pfefferbaum, Dongjin Kwon, Ty Brumback, Wesley K. Thomson, Kevin Cummins, Susan F. Tapert, Sandra A. Brown, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, Duncan B. Clark, Bonnie J. Nagel, Weiwei Chu, Sang Hyun Park, Kilian M. Pohl, Edith V. Sullivan, "Altered Brain Developmental Trajectories in Adolescents after Initiating Drinking," The American Journal of Psychiatry, Volume 175, Issue 4, pp 370-380, April 01, 2018. 📄Article

2017 [2J, 1C]

[C16] 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) 📄Article

[J9] Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen, "Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features," IEEE Transactions on Biomedical Engineering, vol. 64, no. 12, pp. 2803-2812, Dec. 2017. 📄Article

[J8] Yingkun Hou*, Sang Hyun Park*(co-first author), Qian Wang, Jun Zhang, Xiaopeng Zong, Weili Lin, Dinggang Shen, "Enhancement of Perivascular Spaces in 7T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering," Scientific Reports 7, 8569, Aug. 2017. 📄Article

Before 2017 [7J, 15C]

[C15] Yong Zhang*, Sang Hyun Park*(co-first author), and Kilian Pohl, "Joint Data Harmonization and Group Cardinality Constrained Classification," MICCAI, 2016. 📄Article

[C14] Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, and Dinggang Shen, "Regression Guided Deformable Modelsfor Segmentation of Multiple Brain ROIs," Machine Learning in Medical Imaging, 2016. 📄Article

[C13] 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. 📄Article

[J7] Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen, "Segmentation of perivascular spaces in 7T MR images using auto-context model with orientation-normalized features," NeuroImage, vol. 134, pp. 223-235, Jul. 2016. 📄Article

[J6] Sang Hyun Park, Yaozong Gao, Dinggang Shen, "Multi-atlas based segmentation editing with interaction-guided patch selection and label fusion," IEEE Transactions on Biomedical Engineering, vol. 63, no. 6, pp. 1208-1219, Jun. 2016. 📄Article

[C12] 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. 

[C11] 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.

[C10] 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. 

[J5] Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin, "Visualization of perivascular spaces in the human brain at 7T: sequence optimization and morphology characterization," NeuroImage, vol. 125, pp. 895-902, Jan. 2016. 📄Article

[C9] Sang Hyun Park, Yaozong Gao, Dinggang Shen, "Multi-atlas based Segmentation Editing with Interaction-Guided Constraints," MICCAI 2015. 📄Article

[J4] Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee, "Structured patch model for a unified automatic and interactive segmentation framework," Medical Image Analysis, vol. 24, no. 1, pp.297-312, Sep. 2015. 📄Article

[J3] Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen, "Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection," Medical Physics, vol. 41, no. 11, pp.111715, Nov. 2014. 📄Article

[C8] 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. 📄Article

[C7] 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. 

[J2] Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee, "Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation," Pattern Recognition, vol. 46, no. 9, pp.2408-2419, Sep. 2013. 📄Article

[C6] Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Data-driven Interactive 3D Medical Image Segmentation based on Structured Patch Model," IPMI 2013. 📄Article

[C5] Sang Hyun Park, Il Dong Yun, "Interactive 3D Segmentation Method based on Uncertain Local Region Updating in Hierarchical MRF Graph," SPIE Medical imaging 2013.  📄Article

[C4] 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.  📄Article

[J1] Soochahn Lee, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Optimization of  local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images," Computer Vision and Image Understanding, vol. 115, no. 12, pp.1710-1720, Dec. 2011.  📄Article

[C3] 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.    📄Article

[C2] 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.  📄Article

[C1] 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.  📄Article