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Lab Members

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Jun Mo Kwon, 권준모

Postdoctoral fellow

Education

- B.S. in Electronic and Electrical Engineering, Sungkyunkwan Univ. 2018

- Ph.D in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.02

Research Interest

Deep learning

Honors, Awards, Grants

  1. J. Kwon, H. Lee, S. Cho, C.-S. Chung, M. J. Lee#, and H. Park#, “Machine learning-based automated classification of headache disorders using patient-reported questionnaires”, Scientific Reports, vol. 10,  August 2020

  2. J. H. Ahn*, J. Kwon*, J. H. Won, K. Byeon, J. Youn, H. Park#, and J. W. Cho#, “Waiting Impulsivity in Progressive Supranuclear Palsy-Richardson’s Syndrome”, Frontiers in Neuroscience, vol. 17, article 1240709, doi: /10.3389/fnins.2023.1240709, September 2023

Journal publications

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Jong Eun Lee, 이종은

Ph.D. student

Education

- B.S in Biomechatronics, Sungkyunkwan Univ. 2020

- B.S. in Electronic and Electrical Engineering, Sungkyunkwan Univ. 2020

- M.S./Ph.D. in Electronic, Electrical, and Computer Engineering, Sungkyunkwan Univ. 2020.03 ~

Research Interest

Neuroimaging

Honors, Awards, Grants

Journal publications

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Inye Na, 나인예

Ph.D. student

Education

- B.S. in Computer and Electronic System Engineering, Hankuk University of Foreign Studies, 2022

- M.S./Ph.D. in Electronic, Electrical, and Computer Engineering, Sungkyunkwan Univ. 2022.03 ~

Research Interest

Deep learning and radiomics

Honors, Awards, Grants

[MICCAI 2022] 국제 경동맥 혈관벽 분할 챌린지 (COSMOS 2022) 4위 입상

  1. I. Na*, J. Noh*, C. K. Kim#, J.-W. Lee#, H. Park#, “Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI”, vol. 14, article 1341228, doi: 10.3389/fonc.2024.1341228, Frontiers in Oncology, January 2024.

Journal publications

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Jong Hun Kim, 김종훈

Ph.D. student

Education

- B.S. in Computer Science and Engineering, Hanyang University, 2022

- M.S. in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.02

-Ph.D. in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.03 ~


E-mail

iproj222 @gmail.com

Research Interest

Deep learning and radiomics

Honors, Awards, Grants

[MICCAI 2022] 국제 경동맥 혈관벽 분할 챌린지 (COSMOS 2022) 1위 입상

  1. J. Kim and H. Park#, “Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study”, Winter Conference on Applications of Computer Vision (WACV), p. 7604-7613, January 2024.

Journal publications

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Hyoungshin Choi, 최형신

Ph.D. student

Education

- B.S in Biomedical Engineering, Kyung Hee Univ. 2020

- M.S. in Electrical and Computer Engineering, Sungkyunkwan Univ. 2022

-Ph.D. in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.03 ~

Research Interest

Neuroimaging

Honors, Awards, Grants

  1. H. Choi*, K. Byeon*, B. Park, J. Lee, S. L. Valk, B. Bernhardt, A. D. Martino, M. Milham, S.-J. Hong#, and H. Park#, “Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles”, accepted for Neuroimage, April 2022.

  2. H. Choi, K. Byeon, J. Lee. S. Hong, B. Park#, H. Park#, “Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning”, accepted for Human Brain Mapping, December 2023

Journal publications

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Sunghun Kim, 김성훈

M.S. student

Education

- B.S. in Information Statistics, Chungnam National University, 2022

- M.S. in Artifical Intelligence, Sungkyunkwan University, 2022.09 ~

Research Interest

Neuroimaging and deep learning

Honors, Awards, Grants

  1. S. Kim, S. Yoo, K. Xie, J. Royer, S. Lariviere, K. Byeon, J. Lee, Y. Park, S. L. Valk, B. C. Bernhardt, S. Hong, H. Park#, B. Park#, “Comparison of different group-level templates in gradient-based multimodal connectivity analysis”, accepted for Network Neuroscience, April 2024.

Journal publications

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Minji Cho, 조민지

M.S. student

Education

- B.S. in Computer Education, Sungkyunkwan University, 2023

- B.S. in Biological Sciences, Sungkyunkwan University, 2023

- M.S./Ph.D. in  Artifical Intelligence, Sungkyunkwan University, 2023.03~

Research Interest

Deep learning and radiomics

Honors, Awards, Grants

Journal publications

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Jiwon Jung, 정지원

M.S. student

Education

- B.S in Intelligent Mechatronics Engineering, Sejong Univ., 2023

- M.S./Ph.D in Electrical and Computer Engineering, Sungkyunkwan Univ., 2023.03~

Research Interest

Deep learning and Imaging Genetics

Honors, Awards, Grants

Journal publications

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Jongyun Hwang, 황종윤

M.S. student

Education

- B.S. in Computer Science and Engineering, Hanyang University, 2023

- M.S in Artificial Intelligence, Sungkyunkwan University, 2023.03~

Research Interest

TBD

Honors, Awards, Grants

Journal publications

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Sinyoung Ra, 나신영

M.S. student

Education

- B.S. in Data Science, Sungkyunkwan University, 2023 

- M.S. in Artificial Intelligence, Sungkyunkwan University, 2023.09~

Research Interest

TBD

Honors, Awards, Grants

Journal publications

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Nejung Rue, 유내정

M.S. student

Education

- B.S. in Biomedical Engineering, Hankuk University of Foreign Studies. 2023

- M.S. in Artificial Intelligence, Sungkyunkwan University, 2023.09~

Research Interest

TBD

Honors, Awards, Grants

Journal publications

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Sewook Oh, 오세욱

M.S. student

Education

-B.S in Electronic and Electrical Engineering, Sungkyunkwan Univ. 2024

-M.S./Ph.D in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.03~

Research Interest

TBD

Honors, Awards, Grants

Journal publications

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Gyeong Deok Jo, 조경덕

M.S. student

Education

- B.S. in Statistics and Actuarial Science, Soongsil Univ. 2024
 - M.S./Ph.D in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.03~

Research Interest

TBD

Honors, Awards, Grants

Journal publications

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Yeongjun Park, 박영준

M.S. student

Education

- B.S. in Computer Engineering, Inha Univ. 2024

- B.S. in Statistics, Inha Univ. 2024

- M.S./Ph.D in Electrical and Computer Engineering, Sungkyunkwan Univ. 2024.03~

Research Interest

Neuroimaging

Honors, Awards, Grants

  1. Y. Park, M. J. Lee, S. Yoo, C. Y. Kim. J. Y. Namgung. Y. Park. H. Park, E. Lee, Y. D. Yoon. C. Paquola. B. C. Bernhardt, B. Park#, “GAN-MAT: Generative Adversarial Network-based Microstructural Profile Covariance Analysis Toolbox”, accepted for Neuroimage, March 2024.

Journal publications

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