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김대겸(석박통합 14학기)
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고려대학교 전자및정보공학과 NI3연구실
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Research Interest
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Medical Imaging Processing
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Network Analysis of Brain Networks
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Machine Learning for Neuroimages of Brains
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Statistical Analysis
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Skills
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Programming: C, C++, Matlab, Python
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Deep Learning: Keras, Tensorflow, Pytouch
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Neuroimaging Tools: FSL, SPM, Freesurfer, TrackVis, LONI Pipeline, and DSIstudio
Fellowship
Period | Affiliation | Funding Source |
Awards
Date | Paper Title | Conference | Award |
Winter 2024 | The relationship between education and communicability in the brain networks | 한국뇌공학회 | 우수논문상 |
Jun 2019 | Coupling Analysis between Structural Connectivity and Functional Connectivity in the brain networks of Juvenile Myoclonic Epilepsy | 대한전자공학회 | 산업체관심논문상 (현대자동차) |
Research Projects
Period | Project Title | Funding Source | Track Record |
Publication
< International Journal>
1.
E Cho†, D Kim†, BC Jeong, J Shin, Y Chung, S Kim, B Kim, CE Han*, J Min*, 2022, “Disrupted structural network in inferomedial temporal regions in relapsing-remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder”, Scientific Reports, (March 2022)
2.
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 autismspectrum disorder”, Autism Research (August 2021)
3.
S Lee†, D Kim†, HC Youn, W Hyung, SI Suh, M Kaiser, CE Han*, HG Jeong*, 2021, “Brain network analysis reveals that amyloidopathy affects comorbid cognitive dysfunction in older adults with depression”, Scientific Reports (February 2021)
4.
HC Youn†, M Choi†, S Lee, D Kim, S Suh, CE Han, HG Jeong, 2020, “Decreased Cortical Thickness and Local Gyrification in Individuals with Subjective Cognitive Impairment”, Clinical Psychopharmacology and Neuroscience (October 2020)
5.
M Choi, P Lee, D Kim, S Lee, HC Youn, H-G Jeong, CE Han, 2019, “Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE)”, In: Gedeon T., Wong K., Lee M. (eds) Neural Information Processing. ICONIP 2019. Lecture Notes in Computer Science, vol 11953. Springer, Cham (SCOPUS)
6.
D Kim†, S Lee†, M Choi, HC Youn, SI Suh, HG Jeong*, CE Han*, 2019, “Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive impairment”, Neurological Sciences (November 2019)
7.
M Choi†, HC Youn†, D Kim, S Lee, SI Suh, HG Jeong*, CE Han*, 2019, “Comparison of neurodegenerative types using different brain structural analysis methods in older adults with normal cognition, mild cognitive impairment, and Alzheimer’s dementia”, PLoS One (August 2019)
< Domestic Journal >
1.
이필섭, 최명원, 김대겸, 이수지, 윤현철, 정현강, 한철, 비음수가중치제한과 네트워크 희소성을 고려한 오토인코더와 그래프오토인코더로 얻은 뇌 서브네트워크 비교, 전자공학회논문지 (우수등재지), vol 56, no 12, pp. 99-108 (2019)
2.
고명섭, 정병창, 김대겸, 한철, 특권 정보를 이용하는 딥러닝 모델을 통한 폐렴 검출, 전자공학회논문지 (우수등재지), vol 58, no 33, pp. 67-73 (2021)
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.
J Park, D Kim, HG Jeons, CE Han, 2021, “Alzheimer’s disease classification using Node-centric and Edge-centric Graph Convolution Neural Networks”, Complex Networks 2021
6.
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
7.
P Lee, M Choi, D Kim, S Lee, HG Jeong, CE Han*, 2019, “Deep Learning based decomposition of brain networks”, ICAIIC 2019 (IEEE)
8.
CE Han†*, D Kim, S Lee, HG Jeong, 2018, “Deep Learning-Based Brain Connectivity Analysis”, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) at Hawaii, U.S.A., WeAT16.2
9.
D Kim, H Lee, M Choi, JH Kim, CE Han, 2019, “Discriminating coupling between structural connectivity and functional connectivity in the brain networks of juvenile myoclonic epilepsy”,10th Joint Meeting of International Brain Research Organization (IBRO)
10.
P Lee, M Choi, S Lim, W Son, D Kim, S Lee, HC Yoon, HG Jeong, CE Han, 2019, “Comparison between brain sub-networks decomposed by auto encoder (AE) and graph auto encoder (GAE) with non-negative weight constraint and sparse encoding”, 10th Joint Meeting of International Brain Research Organization (IBRO)
11.
HC Youn, M Choi, S Lee, D Kim, SI Suh, CE Han*, HG Jeong*, 2018, “Measuring cortical thickness and local gyrification index in individuals with subjective”, Alzheimer’s Association International Conference
< Domestic Conferences >
1.
D Kim, M Kaiser, HG Jeong, CE Han, 2024, “The relationship between education and communicability in the brain networks”, The Winter Symposium of the Brain Engineering Society of Korea (BESK) 2024
2.
D Kim, HG Jeong, CE Han, 2022, “Effects of the education on the information communication in Alzheimer’s disease”, The Fall Conference of the Korean Society for Human Brain Mapping (KHBM)
3.
H Bae, D Kim, JY Lee, HJ Lee, CE Han CE Han, 2022, “Multi-modal Graph Convolutional Networks for Classifying Alzheimer’s Disease using both Brain Connectivity and Regional Volumes”, The Fall Conference of the Korean Society for Human Brain Mapping (KHBM) (submission)
4.
J Park, D Kim, HG Jeong, YJ Lee, CE Han, 2022, “Alzheimer’s disease classification using node-centric and edge-centric graph convolutional networks”, The Summer Conference of the Korean Artificial Intelligence Association (KAIA)
5.
J Park, D Kim, HG Jeong, YJ Lee, CE Han, 2022, “Analysis of the Interpretability of Graph Convolutional Networks through Classification of Alzheimer’s Disease”, The Summer Workshop of the Brain Engineering Society of Korea (BESK)
6.
Y Seo, D Kim CE Han, 2022, “잔차블럭의 스케일링 팩터가 초해상화 성능에 미치는 영향 분석”, Image Processing and Image Understanding (IPIU)
7.
J Park, D Kim, HG Jeong, CE Han, 2021, “Alzheimer’s disease classification using node-centric and edge-centric graph convolutional networks”, The Summer Annual Workshop of the Brain Engineering Society of Korea (BESK)
8.
B Jeong, D Kim, M Kaiser, CE Han, 2021, “Stimulation of Amyloid-β Diffusion via Recurrent and Graph Convolutional Neural Networks», The Summer Annual Workshop of the Brain Engineering Society of Korea (BESK)
9.
J Park, D Kim, HG Jeong, CE Han, 2021, “Alzheimer’s disease classification using graph convolution networks”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 2040-2046
10.
B 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), 2016-2026
11.
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), 2478-2483
12.
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), 2356-2361
13.
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), 2350-2355
14.
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
15.
D Kim, J Lee, M Choi, JH Kim, CE Han, 2019, “Coupling Analysis between Structural Connectivity and Functional Connectivity in the brain networks of Juvenile Myoclonic Epilepsy”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 540-543
16.
P Lee, M Choi, S Lim, W Son, D Kim, S Lee, HC Yoon, HG Jeong, CE Han, 2019, “Comparison between brain sub-networks decomposed by Auto Encoder (AE) and Graph Auto Encoder (GAE) with non-negative weight constraint and sparse encoding”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 1127-1130
17.
D Kim, M Choi, J Kim, CE Han, 2018, “Reconstruction of Super Resolution techniques for conversion from non-isotropic medical image to isotropic neuroimages using memory-efficient 3D U-Net”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 1320-1323
18.
P Lee, M Choi, D Kim, J Kim, CE Han, 2018, “Network decomposition of brain networks using the edge-specific convolutional neural network”, The Annual Conference of the Institute of Electronics and Information Engineers (IEIE), 1232-1235
Patents
< Registered Patents >
1.
입력대기
< Patents Pending >
1.
입력대기
Etc
< Teaching Experience >
Spring 2022 | Instructor: Basic of Programming Language
Department of Electronics and Information Engineering, Korea University |
Spring 2022 | Instructor: Electronic Engineering Software LabⅡ
Department of Electronics and Information Engineering, Korea University |
Fall 2021 | Instructor: Basic of Programming Language
Department of Electronics and Information Engineering, Korea University |
Spring 2021 | Instructor: Electronic Engineering Software LabⅡ
Department of Electronics and Information Engineering, Korea University |
Winter 2020 | Instructor: Automating tasks using python, Korea University
Department of Electronics and Information Engineering, Korea University |
Spring 2020 | Instructor: Computer Programming and Training
Department of Electronics and Information Engineering, Korea University |
Fall 2019 | Instructor: Computer Programming and Training
Department of Electronics and Information Engineering, Korea University |