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ORCIDSanghyun Park 0004
Sang Hyun Park 0004
Person information
- affiliation: Daegu Gyeongbuk Institute of Science and Technology, DGIST, Department of Robotics Engineering, Korea
- affiliation (PhD 2014): Seoul National University, Department of electrical and computer engineering, Korea
Other persons with the same name
- Sanghyun Park (aka: Sang Hyun Park, Sang-Hyun Park) — disambiguation page
- Sanghyun Park 0003
![[0000-0002-5196-6193]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5196-6193")
(aka: Sang-Hyun Park 0003) — Yonsei University, Department of Computer Science, South Korea (and 2 more)
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2020 – today
- 2025
[j26]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 Trans. Medical Imaging 44(1): 409-421 (2025)- [e7]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15155, Springer 2025, ISBN 978-3-031-74560-7 [contents] - 2024
- [j25]Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park:
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. Comput. Biol. Medicine 170: 108015 (2024) - [j24]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 Syst. Appl. 256: 124890 (2024) - [j23]Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95: 103156 (2024) - [j22]Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sanghyun Park:
Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks 179: 106505 (2024) - [j21]Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. 149: 110230 (2024) - [j20]Sion An, Soopil Kim, Philip Chikontwe, Sanghyun Park:
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15479-15493 (2024) - [c37]Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI 2024: 8591-8599 - [c36]Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park:
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. MICCAI (4) 2024: 232-242 - [c35]Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park:
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. MICCAI (4) 2024: 285-295 - [c34]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 (11) 2024: 678-688 - [i11]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. CoRR abs/2405.19346 (2024) - 2023
- [j19]Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park:
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks 166: 722-737 (2023) - [j18]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. Pattern Recognit. 133: 109061 (2023) - [j17]Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park:
Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognit. 137: 109292 (2023) - [j16]Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park:
Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognit. 144: 109840 (2023) - [j15]Sungjun Wang, Junghyun Seo, Hyunjae Jeon, Sungjin Lim, Sanghyun Park, Yongseob Lim:
Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching. IEEE Robotics Autom. Lett. 8(10): 6779-6786 (2023) - [c33]Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, Kyong Hwan Jin:
ABCD : Arbitrary Bitwise Coefficient for De-Quantization. CVPR 2023: 5876-5885 - [c32]Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl:
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) 2023: 14-24 - [c31]Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park:
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) 2023: 521-531 - [c30]Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park:
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. MICCAI (1) 2023: 528-538 - [e6]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi:
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14277, Springer 2023, ISBN 978-3-031-46004-3 [contents] - [i10]Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR abs/2312.13783 (2023) - 2022
- [j14]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 Anal. 80: 102482 (2022) - [j13]Hyeongdo Cha, Sion An, Seoyoung Choi, Seungun Yang, Sanghyun 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 Trans. Haptics 15(3): 560-571 (2022) - [c29]Philip Chikontwe, Soopil Kim, Sang Hyun Park:
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR 2022: 14534-14543 - [c28]John David Prieto Prada, 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: 4935-4940 - [c27]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. ISBI 2022: 1-5 - [c26]Siwoo Nam, Myeongkyun Kang, Dong Kyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sanghyun Park:
Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. PRIME@MICCAI 2022: 115-125 - [c25]Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park:
Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (2) 2022: 420-430 - [e5]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13564, Springer 2022, ISBN 978-3-031-16918-2 [contents] - [i9]Philip Chikontwe, Soopil Kim, Sang Hyun Park:
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR abs/2203.13465 (2022) - [i8]Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park:
Feature Re-calibration based MIL for Whole Slide Image Classification. CoRR abs/2206.10878 (2022) - 2021
- [j12]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 Anal. 72: 102105 (2021) - [c24]Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI 2021: 1808-1816 - [c23]Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park:
Low-Dose CT Denoising Using Pseudo-CT Image Pairs. PRIME@MICCAI 2021: 1-10 - [c22]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. PRIME@MICCAI 2021: 37-46 - [c21]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. MICCAI (6) 2021: 318-328 - [e4]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia A. Schnabel:
Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12928, Springer 2021, ISBN 978-3-030-87601-2 [contents] - [i7]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. CoRR abs/2103.14255 (2021) - [i6]Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park:
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. CoRR abs/2104.02326 (2021) - [i5]Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong:
A Meta-Learning Approach for Medical Image Registration. CoRR abs/2104.10447 (2021) - [i4]Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. CoRR abs/2110.07920 (2021) - [i3]Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR abs/2110.08954 (2021) - 2020
- [j11]Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen:
Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE J. Biomed. Health Informatics 24(2): 333-335 (2020) - [j10]Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020) - [c20]Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS 2020: 10933-10938 - [c19]Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye:
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. PRIME@MICCAI 2020: 68-78 - [c18]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. PRIME@MICCAI 2020: 79-90 - [c17]Gyoeng Min Lee, Kwang-deok Seo, Hye Ju Song, Dong-Geun Park, Ga Hyung Ryu, Min Sagong, Sang Hyun Park:
Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography. MICCAI (3) 2020: 201-210 - [c16]Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park:
Multiple Instance Learning with Center Embeddings for Histopathology Classification. MICCAI (5) 2020: 519-528 - [e3]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández:
Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12329, Springer 2020, ISBN 978-3-030-59353-7 [contents] - [i2]Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR abs/2003.01300 (2020) - [i1]Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR abs/2011.09608 (2020)
2010 – 2019
- 2019
- [j9]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 7: 18382-18391 (2019) - [j8]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. IEEE Access 7: 159743-159753 (2019) - [c15]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. BrainLes@MICCAI (1) 2019: 200-209 - [c14]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. ICAIIC 2019: 215-217 - [c13]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. PRIME@MICCAI 2019: 125-133 - [c12]Miguel Luna, Mungi Kwon, Sang Hyun Park:
Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. MICCAI (1) 2019: 577-585 - [e2]Islem Rekik, Ehsan Adeli, Sang Hyun Park:
Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11843, Springer 2019, ISBN 978-3-030-32280-9 [contents] - 2018
- [j7]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 Anal. 43: 198-213 (2018) - [c11]Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park:
Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. PRIME@MICCAI 2018: 18-25 - [c10]Miguel Luna, Sang Hyun Park:
3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. BrainLes@MICCAI (1) 2018: 394-403 - [e1]Islem Rekik, Gözde B. Ünal, Ehsan Adeli, Sang Hyun Park:
PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11121, Springer 2018, ISBN 978-3-030-00319-7 [contents] - 2017
- [j6]Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. 64(12): 2803-2812 (2017) - 2016
- [j5]Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin:
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. NeuroImage 125: 895-902 (2016) - [j4]Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen:
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage 134: 223-235 (2016) - [c9]Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI 2016: 61-68 - [c8]Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI 2016: 237-245 - [c7]Yong Zhang, Sang Hyun Park, Kilian M. Pohl:
Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) 2016: 282-290 - 2015
- [j3]Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee:
Structured patch model for a unified automatic and interactive segmentation framework. Medical Image Anal. 24(1): 297-312 (2015) - [c6]Sang Hyun Park, Yaozong Gao, Dinggang Shen:
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. MICCAI (3) 2015: 198-206 - 2014
- [c5]Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen:
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI 2014: 264-271 - 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 Recognit. 46(9): 2408-2419 (2013) - [c4]Sang Hyun Park, Il Dong Yun, Sang Uk Lee:
Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model. IPMI 2013: 196-207 - [c3]Sang Hyun Park, Il Dong Yun:
Interactive 3D segmentation method based on uncertain local region updating in hierarchical MRF graph. Image Processing 2013: 866942 - 2012
- [c2]Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee:
Automatic bone segmentation in knee MR images using a coarse-to-fine strategy. Image Processing 2012: 831405 - 2011
- [j1]Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee:
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. Comput. Vis. Image Underst. 115(12): 1710-1720 (2011)
2000 – 2009
- 2009
- [c1]Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han:
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). ICIP 2009: 3381-3384
Coauthor Index
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