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Accepted to IEEE-TNNLS
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Accepted to IEEE-TNNLS

Congratulations!!! Seungwoo and Wonsik’s work on “Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression,” has been accepted for publication in IEEE-TNNLS. Seungwoo Jeong*, Wonsik Jung*, Junghyo Sohn, and Heung-Il Suk, “Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression,” IEEE Transactions on Neural Networks and Learning Systems (*: equally contributed, Accepted)

Accepted to Frontiers in Aging Neuroscience
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Accepted to Frontiers in Aging Neuroscience

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...

Accepted to ICASSP2024
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Accepted to ICASSP2024

Congratulations!!! Jiwon’s work on “Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification,” has been accepted for publication in ICASSP2024.

Accepted to Schizophrenia Bulletin
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Accepted to Schizophrenia Bulletin

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.