arXiv
- K. Oh, D.-W. Heo, A. W. Mulyadi, W. Jung, E. Kang, K.H. Lee, and H.-I. Suk, “Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction,” Research Square, 2022. [code]/[paper]
- S. Jeong, W. Ko, A. W. Mulyadi, and H.-I. Suk, “Efficient Continuous Manifold Learning for Time Series Modeling,” arXiv preprint arXiv:2112.03379, 2021. [code]/[paper]
- J. Sohn, E. Jeon, W. Jung, E. Kang, and H.-I. Suk, “Fine-Grained Attention for Weakly Supervised Object Localization,” arXiv preprint arXiv:2104.04952, 2021. [code]/[paper]
2023
Journal

D.-Y. Kim, D.-Y. Jin, and H.-I. Suk, "Spatiotemporal Graph Neural Networks for Predicting Mid-to-Long-Term PM2.5 Concentrations", Accepted, 2023. (2022-JCR-IF: 11.1, ENVIRONMENTAL SCIENCES: 22/274)

J. Lee, E. Kang, D.-W. Heo, and H.-I. Suk, "Site-Invariant Meta-Modulation Learning for Multi-Site Autism Spectrum Disorders Diagnosis," IEEE Transactions on Neural Networks and Learning Systems, Accepted, 2023. (2022-JCR-IF: 10.4, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 14/145, COMPUTER SCIENCE, HARDWARE & ARCHITECTURE: 3/54)

E. Jun, S. Jeong, D.-W. Heo, and H.-I. Suk, "Medical Transformer: Universal Brain Encoder for 3D MRI Analysis," IEEE Transactions on Neural Networks and Learning Systems, Accepted, 2023. (2022-JCR-IF: 10.4, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 14/145, COMPUTER SCIENCE, HARDWARE & ARCHITECTURE: 3/54)

C. Park+, W. Jung+, and H.-I. Suk, "Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis," Scientific Reports, Accepted, 2023. (2021-JCR-IF: 4.997, MULTIDISCIPLINARY SCIENCES: 22/73) (+: equally contributed)

A. W. Mulyadi, W. Jung, K. Oh, J. S. Yoon, K. H. Lee, and H.-I. Suk, “Estimating Explainable Alzheimer’s Disease Likelihood Map via Clinically-guided Prototype Learning,” NeuroImage, Vol. 273, pp. 120073, June, 2023. (2021-JCR-IF: 7.400, NEUROSCIENCES: 38/275, NEUROIMAGING: 2/14, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 15/136)

J.Y. Choi, S.S. Lee, N.Y. Kim, H.J. Park, Y.S. Sung, Y. Lee, J.S. Yoon, and H.-I. Suk, "The Effect of Hepatic Steatosis on Liver Volume Determined by Proton Density Fat Fraction and Deep Learning–Measured Liver Volume," European Radiology, pp. 1-9, April, 2023 (2021-JCR-IF: 7.034).

W.-S. Kim, D.-W. Heo, J. Shen, U. Tsogt, S. Odkhuu, S.-W. Kim, H.-I. Suk, B.-J. Ham, F.Z. Rami, C.Y. Kang, J. Sui, and Y.-C. Chung, "Stage-Specific Brain Aging in First-Episode Schizophrenia and Treatment-Resistant Schizophrenia," International Journal of Neuropsychopharmacology, Vol. 26(3), pp. 207-216, March 2023 (2021-JCR-IF: 5.310).
Conference
- Y. Shin, J. Maeng, K. Oh, and H.-I. Suk, “Frequency Mixup Manipulation based Unsupervised Domain Adaptation for Brain Disease Identification,” 7th Asian Conference on Pattern Recognition (ACPR 2023), Kitakyushu, Japan, November 5-8, 2023 (Oral Presentation).
- J. Maeng†, K. Oh†, and H.-I. Suk, “Age-Aware Guidance via Masking-Based Attention in Face Aging,” 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, October 21-25, 2023 (†: equally contributed).
- J.S. Yoon, C. Zhang, H.-I. Suk, J. Guo, X. Li, “SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation,” Information Processing in Medical Imaging (IPMI), 2023
- S. Jo†, J. Jeon†, S. Jeong, and H.-I. Suk, “Channel-Aware Self-Supervised Learning for EEG-based BCI,” 11th International Winter Conference on Brain-Computer Interface (BCI), High1 Resort, Korea, February 20-22, 2023 (†: equally contributed).
- S. Jeong, E. Jeon, S. Noh, J. Lee, H. Kim, S. Kim, and H.-I. Suk, “Learning-based Sleep Quality Evaluation,” 11th International Winter Conference on Brain-Computer Interface (BCI), High1 Resort, Korea, February 20-22, 2023.