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 004; Soochahn Lee; Hackjoon Shim; Il Dong Yun; Sang Uk Lee; Kyoung Ho Lee; Heung Sik Kang; Joon Koo Han (ICIP, 2009)

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. - Soochahn Lee; Sang Hyun Park 004; Hackjoon Shim; Il Dong Yun; Sang Uk Lee (Comput. Vis. Image Underst., 2011)

Automatic bone segmentation in knee MR images using a coarse-to-fine strategy. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Image Processing, 2012)

Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model. - Sang Hyun Park 004; Il Dong Yun; Sang Uk Lee (IPMI, 2013)

Interactive 3D segmentation method based on uncertain local region updating in hierarchical MRF graph. - Sang Hyun Park 004; Il Dong Yun (Image Processing, 2013)

Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Pattern Recognit., 2013)

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. - Sang Hyun Park 004; Yaozong Gao; Yinghuan Shi; Dinggang Shen (MLMI, 2014)

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. - Sang Hyun Park 004; Yaozong Gao; Dinggang Shen (MICCAI (3), 2015)

Structured patch model for a unified automatic and interactive segmentation framework. - Sang Hyun Park 004; Soochahn Lee; Il Dong Yun; Sang Uk Lee (Medical Image Anal., 2015)

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. - Zhengwang Wu; Sang Hyun Park 004; Yanrong Guo; Yaozong Gao; Dinggang Shen (MLMI@MICCAI, 2016)

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2016)

Joint Data Harmonization and Group Cardinality Constrained Classification. - Yong Zhang 004; Sang Hyun Park 004; Kilian M. Pohl (MICCAI (1), 2016)

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. - Sang Hyun Park 004; Xiaopeng Zong; Yaozong Gao; Weili Lin; Dinggang Shen (NeuroImage, 2016)

Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. - Xiaopeng Zong; Sang Hyun Park 004; Dinggang Shen; Weili Lin (NeuroImage, 2016)

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. - Euijin Jung; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sanghyun Park 004 (PRIME@MICCAI, 2018)

3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. - Miguel Luna; Sang Hyun Park 004 (BrainLes@MICCAI (1), 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model. - Zhengwang Wu; Yanrong Guo; Sang Hyun Park 004; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

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 004 (BrainLes@MICCAI (1), 2019)

Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (ICAIIC, 2019)

Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. - Miguel Luna; Mungi Kwon; Sang Hyun Park 004 (MICCAI (1), 2019)

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 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 004 (IEEE Access, 2019)

Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (IEEE Access, 2019)

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. - Sion An; Soopil Kim; Philip Chikontwe; Sang Hyun Park 004 (IROS, 2020)

Multiple Instance Learning with Center Embeddings for Histopathology Classification. - Philip Chikontwe; Meejeong Kim; Soo Jeong Nam; Heounjeong Go; Sang Hyun Park 004 (MICCAI (5), 2020)

Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (PRIME@MICCAI, 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 004 (MICCAI (3), 2020)

Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. - Dong Kyu Won; Sion An; Sang Hyun Park 004; Dong Hye Ye (PRIME@MICCAI, 2020)

Editorial: Predictive Intelligence in Biomedical and Health Informatics. - Ehsan Adeli-Mosabbeb; S. H. Rekik; Sang Hyun Park 004; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. - Wanqi Yang; Yinghuan Shi; Sang Hyun Park 004; Ming Yang 014; Yang Gao 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. - Soopil Kim; Sion An; Philip Chikontwe; Sang Hyun Park 004 (AAAI, 2021)

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (MICCAI (6), 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 004 (PRIME@MICCAI, 2021)

Low-Dose CT Denoising Using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 2021)

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (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 004 (CoRR, 2021)

Uncertainty-Aware Semi-Supervised Few Shot Segmentation. - Soopil Kim; Philip Chikontwe; Sang Hyun Park 004 (CoRR, 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 004 (Medical Image Anal., 2021)

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. - Philip Chikontwe; Soopil Kim; Sang Hyun Park 004 (CVPR, 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 004; Cheol Song (IROS, 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 004 (ISBI, 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 004 (MICCAI (2), 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 004 (PRIME@MICCAI, 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 004 (CoRR, 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 004 (Medical Image Anal., 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 004; Sukho Park (IEEE Trans. Haptics, 2022)

ABCD : Arbitrary Bitwise Coefficient for De-Quantization. - Woo Kyoung Han; Byeonghun Lee; Sang Hyun Park 004; Kyong Hwan Jin (CVPR, 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 004 (MICCAI (2), 2023)

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. - Siwoo Nam; Jaehoon Jeong; Miguel Luna; Philip Chikontwe; Sanghyun Park 004 (MICCAI (1), 2023)

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. - Wei Peng 009; Ehsan Adeli 001; Tomas M. Bosschieter; Sanghyun Park 004; Qingyu Zhao; Kilian M. Pohl (MICCAI (8), 2023)

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (Pattern Recognit., 2023)

Uncertainty-aware semi-supervised few shot segmentation. - Soopil Kim; Philip Chikontwe; Sion An; Sanghyun Park 004 (Pattern Recognit., 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 004 (Neural Networks, 2023)

Horizontal Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching. - Sungjun Wang; Junghyun Seo; Hyunjae Jeon; Sungjin Lim 001; Sanghyun Park 004; Yongseob Lim (IEEE Robotics Autom. Lett., 2023)

Structure-preserving image translation for multi-source medical image domain adaptation. - Myeongkyun Kang; Philip Chikontwe; Dong Kyu Won; Miguel Luna; Sang Hyun Park 004 (Pattern Recognit., 2023)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. - Soopil Kim; Sion An; Philip Chikontwe; Myeongkyun Kang; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (AAAI, 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 001; Sang Hyun Park 004 (MICCAI (11), 2024)

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. - Philip Chikontwe; Myeongkyun Kang; Miguel Luna; Siwoo Nam; Sanghyun Park 004 (MICCAI (4), 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 004 (MICCAI (4), 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 004 (Expert Syst. Appl., 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 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2024)

Video domain adaptation for semantic segmentation using perceptual consistency matching. - Ihsan Ullah 005; Sion An; Myeongkyun Kang; Philip Chikontwe; Hyunki Lee; Jinwoo Choi 001; Sanghyun Park 004 (Neural Networks, 2024)

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. - Myeongkyun Kang; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Pattern Recognit., 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 004 (Comput. Biol. Medicine, 2024)

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. - Sion An; Soopil Kim; Philip Chikontwe; Sanghyun Park 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient 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 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification. - Philip Chikontwe; Meejeong Kim; Jaehoon Jeong; Hyun Jung Sung; Heounjeong Go; Soo Jeong Nam; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. - Sion An; Myeongkyun Kang; Soopil Kim; Philip Chikontwe; Li Shen 001; Sang Hyun Park 004 (Inf. Fusion, 2026)