Journal Publications
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
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, Apr. 2024.
Soopil Kim, Heejung Park, Philip Chikontwe, Sang Hyun Park, "Federated Learning with Knowledge Distillation for Multi-Organ Segmentation with Partially Labeled Datasets," Medical Image Analysis, 2024
Miguel Luna, Philip Chikontwe, Sang Hyun Park, "Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model," Bioengineering, 2024
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
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
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
Sungjun Wang, Junghyun Seo, Hyunjae Jeon, Sanghyun Park, Yongseob Lim, “Attention Based Generation Module for Unsupervised Domain Adaptive Stereo Matching,” IEEE Robotics and Automation Letters, 2023
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
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
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
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
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
Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park, "Uncertainty-Aware Semi-Supervised Few Shot Segmentation," Pattern Recognition, 2023
Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional GAN with 3D Discriminator for MRI Generation of Alzheimer’s Disease Progression," Pattern Recognition, 2023
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
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
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.
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
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
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
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.
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.
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.
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.
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.
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.
Soopil Kim, Yae Won Park , Sang Hyun Park, Sung Soo Ahn, Jong 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
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.
Donggyu Won, Hyun-Joo Lee, Suk-Joong Lee, Sang Hyun Park, "Spinal Stenosis Grading in Magnetic Resonance Imaging using Deep Convolutional Neural Networks," Spine, Jan. 2020.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.