Sanghyun Park

According to our database, Sanghyun Park authored at least 66 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification.

Sion An, Soopil Kim, Philip Chikontwe, Sanghyun Park

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation.

Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park

Comput. Biol. Medicine, March, 2024

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park

Pattern Recognit., 2024

Video domain adaptation for semantic segmentation using perceptual consistency matching.

Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sanghyun Park

Neural Networks, 2024

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.

Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park

Medical Image Anal., 2024

Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features.

Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park

Expert Syst. Appl., 2024

InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations.

Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification.

Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification.

Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.

Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Structure-preserving image translation for multi-source medical image domain adaptation.

Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park

Pattern Recognit., December, 2023

Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching.

Sungjun Wang, Junghyun Seo, Hyunjae Jeon, Sungjin Lim, Sanghyun Park, Yongseob Lim

IEEE Robotics Autom. Lett., October, 2023

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.

Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park

Neural Networks, September, 2023

Uncertainty-aware semi-supervised few shot segmentation.

Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park

Pattern Recognit., May, 2023

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression.

Euijin Jung, Miguel Luna, Sanghyun Park

Pattern Recognit., 2023

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model.

Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation.

Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation.

Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ABCD : Arbitrary Bitwise Coefficient for De-Quantization.

Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, Kyong Hwan Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device.

Hyeongdo Cha, Sion An, Seoyoung Choi, Seungun Yang, Sanghyun Park, Sukho Park

IEEE Trans. Haptics, 2022

Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.

Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park

Medical Image Anal., 2022

Feature Re-calibration based MIL for Whole Slide Image Classification.

Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park

CoRR, 2022

Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor.

Siwoo Nam, Myeongkyun Kang, Dong Kyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sanghyun Park

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification.

Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Meta-Learning Approach for Medical Image Registration.

Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment.

John David Prieto Prada, Miguel Luna, Sang Hyun Park, Cheol Song

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification.

Philip Chikontwe, Soopil Kim, Sang Hyun Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.

Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

Medical Image Anal., 2021

Uncertainty-Aware Semi-Supervised Few Shot Segmentation.

Soopil Kim, Philip Chikontwe, Sang Hyun Park

CoRR, 2021

Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing.

Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

CoRR, 2021

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs.

Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park

CoRR, 2021

Low-Dose CT Denoising Using Pseudo-CT Image Pairs.

Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing.

Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation.

Euijin Jung, Miguel Luna, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation.

Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.

Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

Editorial: Predictive Intelligence in Biomedical and Health Informatics.

Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands.

Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography.

Gyoeng Min Lee, Kwang-deok Seo, Hye Ju Song, Dong-Geun Park, Ga Hyung Ryu, Min Sagong, Sang Hyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases.

Euijin Jung, Miguel Luna, Sanghyun Park

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Multiple Instance Learning with Center Embeddings for Histopathology Classification.

Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification.

Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames.

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

IEEE Access, 2019

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network.

Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park

IEEE Access, 2019

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks.

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Precise Separation of Adjacent Nuclei Using a Siamese Neural Network.

Miguel Luna, Mungi Kwon, Sang Hyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Guidewire Tip Tracking using U-Net with Shape and Motion Constraints.

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction.

Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Robust brain ROI segmentation by deformation regression and deformable shape model.

Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen

Medical Image Anal., 2018

3D Patchwise U-Net with Transition Layers for MR Brain Segmentation.

Miguel Luna, Sang Hyun Park

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network.

Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

2017

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features.

Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen

IEEE Trans. Biomed. Eng., 2017

2016

Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization.

Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin

NeuroImage, 2016

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features.

Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen

NeuroImage, 2016

Joint Data Harmonization and Group Cardinality Constrained Classification.

Yong Zhang, Sang Hyun Park, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image.

Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs.

Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015

Structured patch model for a unified automatic and interactive segmentation framework.

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

Medical Image Anal., 2015

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints.

Sang Hyun Park, Yaozong Gao, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization.

Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation.

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

Pattern Recognit., 2013

Interactive 3D segmentation method based on uncertain local region updating in hierarchical MRF graph.

Sang Hyun Park, Il Dong Yun

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model.

Sang Hyun Park, Il Dong Yun, Sang Uk Lee

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Automatic bone segmentation in knee MR images using a coarse-to-fine strategy.

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images.

Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee

Comput. Vis. Image Underst., 2011

2009

Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI).

Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han

Proceedings of the International Conference on Image Processing, 2009