Author: milab

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Accepted to NeuroImage

Congratulations!!! Jiyeon and Wonjun’s paper, titled “A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification,” is accepted for publication in NeuroImage.

Graduate students position opening
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Graduate students position opening

Functional MRI – and Machine/Deep-Learning-based Brain Disorder/Disease Diagnosis and Prognosis We seek a couple of highly motivated graduate students on functional brain imaging analysis and machine/deep learning-based brain disease diagnosis and prognosis. It is especially encouraged for those eager to develop advanced brain network modeling and functional MRI-based diagnostic methods by developing or applying recent...

[KU Graduate Student Achievement Award] 고원준, 전은지 수상
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[KU Graduate Student Achievement Award] 고원준, 전은지 수상

고원준, 전은지 연구원이 고려대 최우수대학원생에게 수여하는 “KU Graduate Student Achievement Award”를 수상하였습니다.“KU Graduate Student Achievement Award” 는 본교 대학원생의 학문적, 사회적 업적을 발굴, 격려함으로써 성취의욕을 고취하고 우수성을 대외적으로 홍보하고자 고려대 전체 대학원생 중에서 30여명을 선발합니다. 축하합니다!

Accepted to IEEE-CYB
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Accepted to IEEE-CYB

Congratulations!!! Wisnu’s work on “Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series” is accepted to IEEE Transactions on Cybernetics.

한국인공지능학회 (최)우수 논문 시상 관련 국내 언론 보도
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한국인공지능학회 (최)우수 논문 시상 관련 국내 언론 보도

[AI타임즈]/[Lab news] 한국인공지능학회(학회장 유창동) 하계 학술대회 시상에서 최우수 논문 2편과 우수 논문 8편 중 최우수 논문으로 석흥일 고려대 교수팀의 논문 ‘Personalized Regions Selection and Graph Relational Modeling for Early MCI Identification’, 우수 논문으로는 ‘Uncertainty-Gated Stochastic Sequential Model for EHR Data Imputation and In-Hospital Mortality Prediction’ 선정되었습니다.