Sang Hyun Park

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Philip ChikontweResearch Fellow, Harvard Medical School, Harvard UniversityVerified email at hms.harvard.edu
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Soopil KimDGISTVerified email at dgist.ac.kr
IL DONG YunHankuk University of Foreign StudiesVerified email at hufs.ac.kr
Sang-Uk LeeProfessor of Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
Sion AnPh.D. Candidate, Department of Robotics and Mechatronics Engineering, DGISTVerified email at dgist.ac.kr
Myeongkyun KangPhD Candidate, DGISTVerified email at dgist.ac.kr
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Miguel LunaMachine Learning Researcher, DGISTVerified email at dgist.ac.kr
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelVerified email at med.unc.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiVerified email at united-imaging.com
Ihsan UllahDaegu Gyeongbuk Institute of Science & Technology, South KoreaVerified email at dgist.ac.kr
Dong Kyu WonDaegu Gyeongbuk Institute of Science & Technology, South KoreaVerified email at dgist.ac.kr
Soochahn LeeKookmin UniversityVerified email at kookmin.ac.kr
Euijin JungDaegu Gyeongbuk Institute of Science and TechnologyVerified email at dgist.ac.kr
Xiaopeng ZongAssistant Professor, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Hackjoon ShimYonsei University College of MedicineVerified email at yuhs.ac
June Hong AhnCollege of Medicine, Yeungnam University, Daegu, South KoreaVerified email at yu.ac.kr
Dongjin KwonGoogleVerified email at google.com
Edith SullivanProfessor of Psychiatry, Stanford University School of MedicineVerified email at stanford.edu

Sang Hyun Park

Daegu Gyeongbuk Institute of Science & Technology, South Korea

Verified email at dgist.ac.kr - Homepage

Medical Image Analysis Computer Vision Machine Learning


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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019	328	2019
Altered brain developmental trajectories in adolescents after initiating drinking A Pfefferbaum, D Kwon, T Brumback, WK Thompson, K Cummins, ... American journal of psychiatry 175 (4), 370-380, 2018	219	2018
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease M Shoaib, T Hussain, B Shah, I Ullah, SM Shah, F Ali, SH Park Frontiers in plant science 13, 1031748, 2022	158	2022
Multiple instance learning with center embeddings for histopathology classification P Chikontwe, M Kim, SJ Nam, H Go, SH Park Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	156	2020
2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020	101	2020
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography G Ryu, K Lee, D Park, SH Park, M Sagong Scientific reports 11 (1), 23024, 2021	68	2021
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization X Zong, SH Park, D Shen, W Lin Neuroimage 125, 895-902, 2016	63	2016
Smart data processing for energy harvesting systems using artificial intelligence S Divya, S Panda, S Hajra, R Jeyaraj, A Paul, SH Park, HJ Kim, TH Oh Nano Energy 106, 108084, 2023	62	2023
Spinal stenosis grading in magnetic resonance imaging using deep convolutional neural networks D Won, HJ Lee, SJ Lee, SH Park Spine 45 (12), 804-812, 2020	60	2020
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images S Lee, SH Park, H Shim, ID Yun, SU Lee Computer Vision and Image Understanding 115 (12), 1710-1720, 2011	54	2011
Few-shot relation learning with attention for EEG-based motor imagery classification S An, S Kim, P Chikontwe, SH Park 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	53	2020
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features SH Park, X Zong, Y Gao, W Lin, D Shen Neuroimage 134, 223-235, 2016	51	2016
Bidirectional rnn-based few shot learning for 3d medical image segmentation S Kim, S An, P Chikontwe, SH Park Proceedings of the AAAI conference on artificial intelligence 35 (3), 1808-1816, 2021	49	2021
Structured learning for 3-D perivascular space segmentation using vascular features J Zhang, Y Gao, SH Park, X Zong, W Lin, D Shen IEEE Transactions on Biomedical Engineering 64 (12), 2803-2812, 2017	47	2017
Enhancement of perivascular spaces in 7 T MR image using Haar transform of non-local cubes and block-matching filtering Y Hou, SH Park, Q Wang, J Zhang, X Zong, W Lin, D Shen Scientific Reports 7 (1), 8569, 2017	45	2017
Cad: Co-adapting discriminative features for improved few-shot classification P Chikontwe, S Kim, SH Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	44	2022
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening P Chikontwe, M Luna, M Kang, KS Hong, JH Ahn, SH Park Medical Image Analysis 72, 102105, 2021	44	2021
Conditional GAN with 3D discriminator for MRI generation of Alzheimer’s disease progression E Jung, M Luna, SH Park Pattern Recognition 133, 109061, 2023	42	2023
A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images I Ullah, F Ali, B Shah, S El-Sappagh, T Abuhmed, SH Park Scientific Reports 13 (1), 791, 2023	40	2023
Generating realistic brain mris via a conditional diffusion probabilistic model W Peng, E Adeli, T Bosschieter, SH Park, Q Zhao, KM Pohl International Conference on Medical Image Computing and Computer-Assisted …, 2023	37	2023

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