Sang Hyun Park

64 papers A* 3A 2B 3Journal 29Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Predictive Intelligence in Medicine - 8th International Workshop, PRIME 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2026	J	`jnl`	Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. Inf. Fusion Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2025	J	`jnl`	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Trans. Medical Imaging Soopil Kim, Heejung Park, Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park
2025	J	`jnl`	FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification. IEEE Trans. Medical Imaging Philip Chikontwe, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park
2025	—	`conf`	Logical Anomaly Detection with Text-based Logic via Component-Aware Contrastive Language-Image Training. KDD (2) Seungeon Lee, Soopil Kim, Sion An, Sang-Chul Lee, Sang Hyun Park
2025	—	`ed.`	Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2024	J	`jnl`	Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. Comput. Biol. Medicine Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park
2024	J	`jnl`	Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Syst. Appl. Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park
2024	—	`conf`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. MICCAI (11) Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2023	A*	`conf`	ABCD : Arbitrary Bitwise Coefficient for De-Quantization. CVPR Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, Kyong Hwan Jin
2023	—	`ed.`	Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi
2023	J	`jnl`	Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognit. Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park
2022	A	`conf`	A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment. IROS John David Prieto Prada, Miguel Luna, Sang Hyun Park, Cheol Song
2022	—	`conf`	A Meta-Learning Approach for Medical Image Registration. ISBI Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park
2022	A*	`conf`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2022	J	`jnl`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2022	J	`jnl`	Feature Re-calibration based MIL for Whole Slide Image Classification. CoRR Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park
2022	—	`ed.`	Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2022	J	`jnl`	Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization. Medical Image Anal. Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park
2021	J	`jnl`	A Meta-Learning Approach for Medical Image Registration. CoRR Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong
2021	A*	`conf`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2021	J	`jnl`	Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. CoRR Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	J	`jnl`	Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. Medical Image Anal. Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	—	`conf`	Low-Dose CT Denoising Using Pseudo-CT Image Pairs. PRIME@MICCAI Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park
2021	—	`conf`	Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. PRIME@MICCAI Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	J	`jnl`	Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. CoRR Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	—	`ed.`	Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia A. Schnabel
2021	J	`jnl`	Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. CoRR Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen
2020	J	`jnl`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE J. Biomed. Health Informatics Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen
2020	A	`conf`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	—	`conf`	Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. PRIME@MICCAI Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye
2020	—	`conf`	Multiple Instance Learning with Center Embeddings for Histopathology Classification. MICCAI (5) Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park
2020	—	`ed.`	Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández
2020	—	`conf`	Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography. MICCAI (3) Gyoeng Min Lee, Kwang-deok Seo, Hye Ju Song, Dong-Geun Park, Ga Hyung Ryu, Min Sagong, Sang Hyun Park
2019	—	`conf`	Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. PRIME@MICCAI Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	J	`jnl`	Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park
2019	—	`conf`	Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. ICAIIC Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	—	`conf`	Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. MICCAI (1) Miguel Luna, Mungi Kwon, Sang Hyun Park
2019	—	`ed.`	Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park
2019	J	`jnl`	Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. IEEE Access Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	—	`conf`	Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park
2018	—	`conf`	3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. BrainLes@MICCAI (1) Miguel Luna, Sang Hyun Park
2018	—	`ed.`	PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings PRIME@MICCAI Islem Rekik, Gözde B. Ünal, Ehsan Adeli, Sang Hyun Park
2018	J	`jnl`	Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen
2017	J	`jnl`	Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2016	—	`conf`	Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) Yong Zhang, Sang Hyun Park, Kilian M. Pohl
2016	—	`conf`	Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2016	J	`jnl`	Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen
2016	J	`jnl`	Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. NeuroImage Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin
2015	—	`conf`	Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) Sang Hyun Park, Yaozong Gao, Dinggang Shen
2015	J	`jnl`	Structured patch model for a unified automatic and interactive segmentation framework. Medical Image Anal. Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
2014	—	`conf`	Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
2013	—	`conf`	Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model. IPMI Sang Hyun Park, Il Dong Yun, Sang Uk Lee
2013	J	`jnl`	Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation. Pattern Recognit. Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
2013	B	`conf`	Interactive 3D segmentation method based on uncertain local region updating in hierarchical MRF graph. Image Processing Sang Hyun Park, Il Dong Yun
2012	B	`conf`	Automatic bone segmentation in knee MR images using a coarse-to-fine strategy. Image Processing Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
2011	J	`jnl`	Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. Comput. Vis. Image Underst. Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee
2009	B	`conf`	Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). ICIP Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han