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Accepted to IEEE-TNNLS
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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
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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 ACPR2023
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Accepted to ACPR2023

Congratulations!!! Yooseung’s work on “Frequency Mixup Manipulation based Unsupervised Domain Adaptation for Brain Disease Identification” has been accepted for presentation at ACPR2023 (Oral Presentation).

Accepted to Scientific Reports
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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
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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...

[KU 연구장려장학금] 정승우 수상
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[KU 연구장려장학금] 정승우 수상

정승우 연구원이 고려대 정보대학이 우수 논문 제출한 수료연구생에게 수여하는 “KU 연구장려장학금”을 수상하였습니다.“연구장려장학금”은 고려대 정보대학이 연구력 향상을 위해 우수한 논문을 제출한 수료연구생에게 우수논문상과 더불어 연구장려장학금을 지급합니다. 축하합니다!

Accepted to IPMI 2023
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Accepted to IPMI 2023

Congratulations! Jeeseok’s paper has been accepted for presentation at IPMI2023. Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li, “SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation,” Information Processing in Medical Imaging (IPMI), 2023