Publications

[J]: Journal, [C]: Conference

2021 [3J, 1C]

[C31] Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation, " MICCAI, 2021. đź“„Article

[J23] 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. đź“„Article

[J22] 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. đź“„Article

[J21] 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. đź“„Article

[C30] Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park, "Bidirectional RNN based Few shot learning for 3D medical image segmentation," AAAI, 2021. đź“„Article


2020 [4J, 5C]

[C29] Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye, "Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands," MICCAI PRIME workshop, 2020. đź“„Article

[C28] Euijin Jung, Miguel Luna, Sang Hyun Park, "Conditional generative adversarial network for predicting 3D medical images affected by alzheimer’s diseases," MICCAI PRIME workshop, 2020. 📄Article

[C27] Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heoungjeong Go, Sang Hyun Park, "Multiple Instance Learning with Center Embeddings for Histopathology Classification," MICCAI, 2020. đź’ˇGithub Code đź“„Article

[C26] Kyeongmin Lee, Heyju Song, Kwangdeok Seo, Donggeon Park, Gahyung Ryu, Min Sagong, Sang Hyun Park, "Unsupervised Learning Model for Registration of Multi-Phase Ultra-Widefield Fluorescein Angiography ," MICCAI, 2020. đź“„Article

[J20] 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. đź“„Article

[J19] Soopil Kim, Yae Won Park , Sang Hyun Park, Sung Soo Ahn, ong 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. đź“„Article

[C25] Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park, "Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification," IROS, 2020. đź“„Article

[J18] 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 . đź“„Article

[J17] 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. đź“„Article


2019 [4J, 5C]

[J16] 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. đź“„Article

[C24] 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," MICCAI Brainlesion workshop, 2019. đź“„Article

[C23] Asaduz Zaman, Sang Hyun Park, Luna Miguel, Youngkyun Park, Hyunhee Bang, Chul-woo Park, Ilhuyng Park, Sanghyun Joung,"Real-time 3D Ultrasound Bone Model Reconstruction and Its Registration with MR Bone Model for Localization of Intramedullary Cystic Bone Lesion," ACCAS, 2019. đź“„Article

[C22] Miguel Luna, Mungi Kwon, Sang Hyun Park, "Precise Separation of Adjacent Nuclei using a Siamese Neural Network," MICCAI, 2019. đź“„Article

[C21] Ihsan Ullah, Philip ChikonTwe, Sang Hyun Park, "Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks," MICCAI PRIME workshop, 2019. đź“„Article

[J15] 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. đź“„Article

[J14] 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. đź“„Article

[C20] Ihsan Ullah, Philip Chikontwe, Sang Hyun Park, "Guidewire Tip Tracking using U-Net with Shape and Motion Constraints," ICAIIC, 2019. đź“„Article

[J13] 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. 📄Article


2018 [3J, 3C]

[C19] Miguel Luna, Sang Hyun Park, "3D Patchwise U-Net with Transition Layers for MR Brain Segmentation," MRBrainS18 Challenge, MICCAI, 2018. (Ranked 1st out of 22 teams) đź’ˇGithub Code đź“„Article

[C18] Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park, "Enhancement of Perivascular Spaces using a Very Deep 3D Dense Network," PRIME Workshop, MICCAI, 2018. đź“„Article

[C17] Miguel Luna, Mungi Kwon, Sang Hyun Park, "Nuclei Segmentation by using Deep Learning based Watershed Algorithm," CPM Nuclei Segmentation Challenge, MICCAI, 2018. (Ranked 8th out of 27 teams)

[J12] 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. đź“„Article

[J11] 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. đź“„Article

[J10] 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. đź“„Article


2017 [2J, 1C]

[C16] Miguel Luna, Sang Hyun Park, "3D Convolutional Neural Network with Skip Connections for WMH Segmentation," WMH Challenge, MICCAI, 2017. (Ranked 6th out of 20 teams) đź“„Article

[J9] 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. đź“„Article

[J8] 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. đź“„Article


Before 2017 [7J, 15C]

[C15] Yong Zhang*, Sang Hyun Park*(co-first author), and Kilian Pohl, "Joint Data Harmonization and Group Cardinality Constrained Classification," MICCAI, 2016. đź“„Article

[C14] Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, and Dinggang Shen, "Regression Guided Deformable Modelsfor Segmentation of Multiple Brain ROIs," Machine Learning in Medical Imaging, 2016. đź“„Article

[C13] Jun Zhang, Sang Hyun Park, XiaopengZong, Weili Lin, and Dinggang Shen, "Segmentation of Perivascular SpacesUsing Vascular Features and Structured Random Forest from 7T MR Image," Machine Learning in Medical Imaging, 2016. đź“„Article

[J7] 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. đź“„Article

[J6] 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. đź“„Article

[C12] Sang Hyun Park, Xiaohuan Cao, Sheng-Che Huang, Xiaopeng Zong, Valerie Jewells, Weili Lin, Hae Won Shin, Dinggang Shen, "Registering Post-Op CT and Pre-Op MR Images for Accurate Localization of Intraoperative EEG Electrodes," ASNR 2016.

[C11] Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Coupling of FDG uptake and CBF using simultaneous MR-PET measurements in human temporal lobe epilepsy," ASNR 2016.

[C10] Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Hybrid PET/MR shows reduced CBF and glucose uptake in Subdural Electrode Identified Seizure Foci," ASNR 2016.

[J5] 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. đź“„Article

[C9] Sang Hyun Park, Yaozong Gao, Dinggang Shen, "Multi-atlas based Segmentation Editing with Interaction-Guided Constraints," MICCAI 2015. đź“„Article

[J4] 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. đź“„Article

[J3] 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. đź“„Article

[C8] Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen, "Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization," Machine Learning in Medical Imaging, 2014. đź“„Article

[C7] Sang Hyun Park, Seungyeon Shin, Il Dong Yun, Sang Uk Lee, "Automatic Segmentation of Multiple Objects in Medical Images based on Structured Patch Model," SATA challenge, MICCAI workshop 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 Recognition, vol. 46, no. 9, pp.2408-2419, Sep. 2013. đź“„Article

[C6] Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Data-driven Interactive 3D Medical Image Segmentation based on Structured Patch Model," IPMI 2013. đź“„Article

[C5] Sang Hyun Park, Il Dong Yun, "Interactive 3D Segmentation Method based on Uncertain Local Region Updating in Hierarchical MRF Graph," SPIE Medical imaging 2013. đź“„Article

[C4] Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee, "Automatic bone segmentation in knee magnetic resonance images using a coarse-to-fine strategy," SPIE Medical imaging 2012. đź“„Article

[J1] 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. đź“„Article

[C3] Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Learning Local Shape and Appearance for Segmentation of Knee Cartilage in 3D MRI," Medical Image Analysis for the Clinic - Grand Challenge, MICCAI workshop 2010. đź“„Article

[C2] Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung-Ho Lee, and g-Sik Kang and Joon-Koo Han, "Fully Automatic 3-D Segmentation of Knee Bone Compartments by Iterative Local Branch-and-Mincut on MR Images FromOsteoarthritisInitiative(OAI)," ICIP 2009. đź“„Article

[C1] Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "3-D Segmentation of Knee Bones on MR images by Constrained Branch-and-Mincut," Probabilistic Models for Medical Image Analysis, MICCAI workshop 2009. đź“„Article