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정병창(석박통합과정 10학기)
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고려대학교 전자정보공학과 NI3 연구실
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Research Interest
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Medical imaging processing
▪
Gray matter volume, white matter hyper-intensity and thickness
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Positron emission tomography (amyloid-β)
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Computational modeling
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Amyloid-β diffusion
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Motor simulation
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Machine learning
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Dynamics simulation with GCN and RNN
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Disease classification with various medical data
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Super resolution with MR images
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Statistical analysis
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Permutation testing
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Bayesian inference
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Generalized linear model
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Skills
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Programming
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C, Matlab, Python
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Deep learning
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PyTorch, Keras, Tensorflow
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Neuroimaging Tools
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FSL, SPM, Freesurfer, VLSM
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Operating system
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Window, Linux, Mac
Fellowship
Period | Affiliation | Funding Source |
Awards
Date | Paper Title | Conference | Award |
Feb 2023 | A Deep-learning Model of Amyloid- Diffusion Simulation | 2023 뇌와 인공지능 심포지엄 (BESK) | Best Poster Paper Award |
Feb 2022 | Amyloid- diffusion with Gated Recurrent Graph Convolutional Units (GRGCU) | 2022 BK성과공유회 | 표창장 |
Jul 2021 | 그래프 합성곱 신경망을 이용한 아밀로이드 단백질 확산 시물레이션 모델 개발 | 2021 대한전자공학회 | 네이버 논문상 |
Dec 2020 | 인공지능 마스크 착용 판독 시스템 | KUSejong 실전문제연구단 성과공유회 | 우수상 |
Research Projects
Period | Project Title | Funding Source | Track Record |
Mar 2022 ~ Feb 2023 | Development of data-adaptive high-accuracy kernels and application to digital image de-noising problem | National Research Foundation of Korea | |
Jun 2021 ~ Feb 2022 | Development and application of a network-based brain diffusion simulation model using a graph neural network considering temporal and spatial characteristics | National Research Foundation of Korea | |
Sep 2020 ~ Feb 2023 | Artificial Intelligence Smart City Convergence Technology Research Center | Ministry of Education (Korea) | |
May 2020 ~ Dec 2020 | KU Sejong Practical Problem Research Center | National Research Foundation of Korea | |
Apr 2019 ~ Dec 2021 | Development of dementia progression model and early diagnosis system using machine learning and simulation | Korea Health Industry Development Institute | |
Nov 2019 ~ Oct 2019 | A deep learning model for discovery of network motifs in brain networks | National Research Foundation of Korea |
Publication
1.
S Cha†, BC Jeong†, M Choi, S Kown SH Lee, N-J Park, CE Han*, W-S Kim*, 2022, “White Matter Tracts Involoved in Subcortical Unilateral Spatial Neglect in Subacute Stroke”, Frontier Neurology, (September 2022 IF=4.003)
2.
E Cho†, D Kim†, BC Jeong, J Shin, Y Chung, S Kim, B Kim, CE Han*, J Min*, 2021, “Disrupted structural network in inferomedial temporal regions in relapsing-remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder”, Scientific Reports, (March 2022, IF=4.996)
3.
D Kim†, J Lee†, B Jeong, J Ahn, I Kim, E Lee, I Kim, H Lee*, CE Han*, 2021, “Overconnectivity of the right Heschl’s and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder”, autism research (August 2021, IF=5.216)
4.
G Kim†, BC Jeong†, M Choi, W-S Kim, CE Han*, N-J Paik*, 2021, “Neural Substrates of Subcortical Aphasia in Subacute Stroke: Voxel-Based Lesion Symptom Mapping Study”, Journal of the Neurological Sciences, Volume 420, 117266 (January 2021, IF=3.115)
Conferences
< International Conferences >
1.
BC Jeong, D Kim, S Seo, SH Lee, HG Jeong, CE Han, 2024, “Deep Learning Model for Forecasting Propagation of Amyloidopathy in Alzheimer’s Disease”, Alzheimer’s Association International Conference (AAIC) 2024
2.
BC Jeong, D Kim, HG Jeong, CE Han, 2024, “Deep Learning Based Simulation of amyloid-β Accumulation”, The organization for Human Brain Mapping (OHBM) 2024
3.
BC Jeong, D Kim, HG Jeong, CE Han, 2024, “A Deep Learning Model of Amyloid-β Diffusion Simulation”, International Conference on Electronics, Information, and Communication (ICEIC) 2024
4.
BC Jeong, D Kim, M Kaiser, CE Han, 2021, “Stimulating diffusion of Amyloid-β through Gated Recurrent Units (GRU) and Graph Convolutional Neural Networks (GCN)“, Complex Networks 2021
5.
D Kim, J Park, BC Jeong, HG Jeong, CE Han, 2021, “Effects of the education on the information communication in the elders”, The Organization for Human Brain Mapping (OHBM) 2021
6.
C Lee, BC Jeong, HG Jeong, CE Han, 2021, “Partial volume effect correction of PET images using 3D-residual U-net”, The Organization for Human Brain Mapping (OHBM) 2021
7.
M Choi, BC Jeong†, HC Yoon, HG Jeong, CE Han, 2019, “Regional patterns of amyloid-β accumulation in Alzheimer’s disease: comparison between autoencoder and the non-negative matrix factorization (NMF)”, International Brain Research Organization (IBRO) 2019
< Domestic Conferences >
1.
BC Jeong, C Youn, J Chun, HG Jeong, CE Han 2024, “Investigating Feasibility of Heart Rate Variability (HRV) Measurement with Fitbit Smart-watch”, The Winter Symposium of the Brain Engineering Society of Korea (BESK) 2024
2.
BC Jeong, D Kim, HG Jeong, M Kaiser, CE Han, 2023, “A Deep-learning Model of Amyloid-β Diffusion Simulation”, The Winter Symposium of the Brain Engineering Society of Korea (BESK) 2023
3.
BC Jeong, HG Jeong, YJ Lee, CE Han, 2022, “Flexible Amyloid Positive Classification through Graph Convolutional Neural Network”, The Summer Annual Workshop of the Brain Engineering Society of Korea (BESK) 2022
4.
BC Jeong, D Kim, M Kaiser, CE Han, 2021, “Simulation of Amyloid-β Diffusion via Recurrent and Graph Convolutional Neural Networks”, The Summer Annual Workshop of the Brain Engineering Society of Korea (BESK) 2021
5.
BC Jeong, D Kim, M Kaiser, CE Han, 2021, “Amyloid-beta Diffusion Simulation Model via Graph Convolutional Neural Network”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2021, 2016-2026
6.
OJ Seok, C Lee, J Park, BC Jeong, CE Han, 2021, “3D-ResUnet을 이용한 뇌 자기공명영상의 초해상도 영상복원, “, Image Processing and Image Understanding (IPIU) 2021
7.
BC Jeong, D Kim, X Chen, M Kaiser, CE Han, ADNI, 2020, “Extraction of brain network with high-resolution node definition”,The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2020, 2350-2355
8.
C Lee, D Kim, BC Jeong, J Lee, H Lee, CE Han, 2020, “Asymmetric regional efficiency in brain networks of children with autism spectrum disorder”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2020, 2478-2483
9.
D Kim, J Park, BC Jeong, CE Han, ADNI, 2020, “Effects of the education on the information communication of the human brain”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2020, 2356-2361
10.
M Ko, BC Jeong, D Kim, CE Han, 2020, “Deep Learning Under Privileged Information for Pneumonia Detection", The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 986-991, 2020
11.
YW Kang, M Choi, BC Jeong, HG Jeong, CE Han, 2019, “Prediction of cortical thickness based on amyloid beta accumulation of the cerebral cortex in AD”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2019, 1131-1134
12.
M Choi, BC Jeong†, J Kim, M No, HC Yoon, HG Jeong, CE Han, 2019, “Comparison of PET Amyloid-beta accumulation patterns extracted by neural network and non-negative matrix factorization in Alzheimer’s’ disease”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2019, 1027-1032
Patents
< Registered Patents >
1.
< Patents Pending >
1.