Category: <span>Journal Publication</span>

Home / Lab News / Journal Publication
Accepted to Schizophrenia Bulletin
Post

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.

Accepted to IEEE-TMI
Post

Accepted to IEEE-TMI

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.

Accepted to IEEE-TMI
Post

Accepted to 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.

Accepted to IEEE-TNNLS
Post

Accepted to IEEE-TNNLS

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.

Accepted to IEEE-TNNLS
Post

Accepted to 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....

Accepted to Scientific Reports
Post

Accepted to Scientific Reports

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)

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning
Post

Accepted to NeuroImage

Congratulations!!! Wisnu’s paper “Estimating Explainable Alzheimer’s Disease Likelihood Map via Clinically-guided Prototype Learning” has been accepted for publication in NeuroImage. Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, and Heung-Il Suk, “Estimating Explainable Alzheimer’s Disease Likelihood Map via Clinically-guided Prototype Learning,” NeuroImage, 2023. (2021-JCR-IF: 7.40, NEUROSCIENCES: 38/275, NEUROIMAGING: 2/14, RADIOLOGY, NUCLEAR...