M.S. Candidate
Ji-Hye Lim, Integrated BS&MS student
Research interest
Ji-Hye Lim is a M.S. Candidate at Kyungpook National University, advised by Prof. Hyun-Chul Kim. Her research focuses on developing efficient deep learning architectures for 3D brain image analysis, which preserve spatial information while optimizing computational performance. Research keywords include:
Cognitive state decoding using deep learning
XAI (eXplainable AI)
Education
Sep. 2023 - Present : Integrated BS&MS Course, Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea
Mar. 2017 - Aug. 2023 : B.S., Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea
Publications
[Thesis]
Decoding Cognitive States: 3D-ConvNeXt for fMRI Classification and Interpretation in the Human Connectome Project, 2024
[Conference]
Whole-brain fMRI Pattern Extractor: 3D Variational Autoencoder for Sensorimotor Classification, OHBM 2024
3D-β-VAE for Sensorimotor Task Classification: A fMRI study, BESK 2024
Variational Masked Autoencoder for Sensorimotor Classification Using Whole-brain fMRI Pattern, KHBM 2023
Awards
Encouragement Poster Presentation Award, International Conference on Emotion and Sensibility 2023
Top Prize, AI Convergence and Open Sharing System Project, 2022
Tutorial, invited talk, and seminar
Sep. 27, 2024, Brain Decoding of the Human Connectome Project Using 3D-ConvNeXt, KPK Workshop, Daegu, Republic of Korea