Congratulations!!! Wonsik’s paper, “Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive impairment,” has been accepted for publication in Frontiers in Aging Neuroscience (JCR-IF: 4.8). W. Jung*, S.E. Kim*, J Kim, H. Jang, C.J. Park, H.J. Kim, D.L. Na, S.W. Seo†, and H.-I. Suk†, “Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive...
Congratulations!!! Da-Woon’s work (collaboration with Jeonbuk National University Hospital) on “Deep Learning-based Brain Age Prediction in Patients with Schizophrenia Spectrum Disorders,” has been accepted for publication in Schizophrenia Bulletin.
Congratulations!!! Eunsong’s work on “A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis,” has been accepted for publication in IEEE-TMI.
Congratulations!!! Wonsik’s work on “EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD Diagnosis via Inter-regional Relation Learning,” has been accepted for publication in IEEE-TMI.
Congratulations!!! Junghyo’s work on “Module of Axis-based Nexus Attention for Weakly Supervised Object Localization” has been accepted for publication at Scientific Reports.
Congratulations!!! Seungwoo’s work on “Deep Efficient Continuous Manifold Learning for Time Series Modeling,” has been accepted for publication in IEEE-TPAMI.
Congratulations!!! Do-Yeon’s work on “Spatiotemporal Graph Neural Networks for Predicting Mid-to-Long-Term PM2.5 Concentrations” has been accepted for publication in the Journal of Cleaner Production (JCR-IF: 11.1).
Congratulations!!! Jaein’s work on “Site-Invariant Meta-Modulation Learning for Multi-Site Autism Spectrum Disorders Diagnosis” has been accepted for publication in IEEE-TNNLS.
Congratulations!!! Eunji’s paper “Medical Transformer: Universal Encoder for 3D Brain MRI Analysis” has been accepted for publication in IEEE Transactions on Neural Networks and Learning Systems. 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 (TNNLS), Accepted, 2023....
Congratulations! Changhyun and Wonsik’s paper is accepted to Scientific Reports for publication. Changhyun Park+, Wonsik Jung+, and Heung-Il Suk, “Deep Joint Learning of Pathological Region Localization and Alzheimer’s Disease Diagnosis,” Scientific Reports, 2023. (2021-JCR-IF: 4.997, MULTIDISCIPLINARY SCIENCES: 22/73) (+: equally contributed)
