석흥일Heung-Il Suk
Machine Intelligence Lab
의료영상분석, 뇌영상, 딥러닝, 신경퇴행성 질환 예측 연구
- 논문
- 52
- 구성원
- 21
- 졸업생
- 24
논문 주제가 비슷한 연구실
고려대학교 감태의 교수 연구실은 AI for Science 분야 연구실로, 연구실 홈페이지 기준 2023–2026년 논문 71편(T1 17편)을 발표했습니다. 현재 박사과정 21명, 석사과정 5명이 소속되어 있습니다. 졸업생은 8명입니다.
2023–2026 · 연구실 홈페이지 기준
연평균 · T1 비율
17.8 · 24%
논문 제목에서 찾은 주제예요. 최근 논문일수록 크게 반영돼요.
논문 71편
A Hierarchical Reinforcement Learning Approach to Personalized Decision-Making for Brain Connectivity Segmentation
Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Jun-Mo Kim, Suyeon Kwak, Ji-Wung Han, Sanghyeon Cho, Tae-Eui Kam
Adaptive Reward Weighting via Reinforcement Learning for Major Depressive Disorder Diagnosis
Jiyoung Hwang, Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Suyeon Kwak, Ji-Wung Han, Tae-Eui Kam
Adaptive Static-Dynamic Functional Connectivity Feature Fusion for Diagnosis of Mild Cognitive Impairment
Yu-Kyum Kang, Chang-Hoon Ji, Ji-Hye Oh, Su-Yeon Kwak, Ji-Wung Han, Tae-Eui Kam
Advancing Molecular Structure Elucidation for Mass Spectrum Interpretation via Cepstral Analysis
Dong-Hee Shin, Eunjung Jo, Hyun Jung Lee, Hyeonyeong Nam, Tae-Eui Kam
Agentic Brain: Agentic AI System for Autonomous Diagnosis of Functional Connectivity Network
Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Suyeon Kwak, Ji-Wung Han, Jun-Mo Kim, Jiyoung Hwang, Tae-Eui Kam
Anatomy-Guided Abnormality Token Proposal for 3D CT Visual Question Answering
Yubin Jeong, Keun-Soo Heo, Tae-Eui Kam
Brain Topology-Driven Graph Structure Learning for Functional Brain Network-Based Major Depressive Disorder Diagnosis
Suyeon Kwak, Ji-Hye Oh, Chang-Hoon Ji, Yu-Kyum Kang, Jaeyong Chang, Tae-Eui Kam
Confidence-Aware Adaptive Semi-Supervised Approach for Reliable EEG-Based Emotion Recognition
Songha Kim, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Tae-Eui Kam
논문 주제 구성이 비슷한 연구실이에요.
Machine Intelligence Lab
의료영상분석, 뇌영상, 딥러닝, 신경퇴행성 질환 예측 연구
BREIN Lab
뇌 역공학, 계산신경과학, 인지과학, 딥러닝 연구
MIP Lab
의료영상 기반 AI 및 뇌과학 연구, MRI/fMRI/PET/CT 영상 분석
Connectome Lab
신경과학, 뇌영상