ALUMNI(M.S.)

Ji-Hye Lim, M.S. Feb 2025

• Thesis: "Decoding Cognitive States: 3D-ConvNeXt for fMRI Classification and Interpretation in the Human Connectome Project"

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