Accepted to Journal of Cleaner Production

Accepted to Journal of Cleaner Production

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).

고원준 박사, 성신여대 조교수 임용

고원준 박사, 성신여대 조교수 임용

우리 연구실의 박사졸업생, 고원준 박사가 성신여자대학교 조교수로 임용되었습니다. 그의 학문적 성취와 헌신에 박수를 보냅니다. 향후의 성공과 발전을 기대합니다. 🌟

Accepted to IEEE-TNNLS

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

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. (2022-JCR-IF: 10.4, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 14/145, COMPUTER SCIENCE, HARDWARE & ARCHITECTURE: 3/54)

Accepted to ACPR2023

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 CIKM2023

Accepted to CIKM2023

Congratulations!!! Junyeong & Kwanseok’s work on “Age-Aware Guidance via Masking-Based Attention in Face Aging” has been accepted for presentation at CIKM2023.

[2023 한국인공지능학회 하계학술대회 우수논문상]

[2023 한국인공지능학회 하계학술대회 우수논문상]

정원식, 전은진, 강은송 연구원이 한국인공지능학회 주관한 2023 하계학술대회에 제출한 논문이 “학회 우수논문상”을 수상하였습니다. 축하합니다!

Accepted to Scientific Reports

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

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 MEDICINE & MEDICAL IMAGING: 15/136)

[2023 Junior Fellow Research Grant]

[2023 Junior Fellow Research Grant]

정원식 연구원이 “2023 Junior Fellow Research Grant”를 수상하였습니다. 축하합니다!