Lab directory
Quantitative Imaging & Informatics Laboratory (QuIIL)
Quantitative Imaging & Informatics Laboratory (QuIIL)
Recruiting grad students
Korea University · Electrical Engineering
Information sourcenot verified yet
Professor
Prof. 곽진태
Professor's page · publicationsAbout
곽진태 교수 연구실(QuIIL, Quantitative Imaging & Informatics Laboratory)은 고려대 전기전자공학부 소속으로, 메디컬 컴퓨팅과 인공지능을 핵심 연구분야로 한다. 대형 언어·비전 모델의 의료영상 적용, 하드웨어 인식 경량 AI 설계, 디지털 병리 조직 이미지 분석, 뇌영상 AI, 도메인 불변 표현 학습 등을 연구한다.
Research keywords
메디컬 컴퓨팅인공지능
Selected publications
- CAMP: Continuous and Adaptive Learning Model in Pathologynpj Artificial Intelligence · 2026
- DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology ImagesMedical Image Analysis · 2025
- Domain Generalization in Computational Pathology: Survey and GuidelinesACM Computing Surveys · 2025
- MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image AnalysisMedical Image Analysis · 2025
- Spatially-constrained and -unconstrained bi-graph interaction network for multi-organ pathology image classificationIEEE Transactions on Medical Imaging · 2024
- Benchmarking Pathology Foundation Models: Adaptation Strategies and ScenariosComputers in Biology and Medicine · 2025
Other labs in this department
- Nanodevice LaboratoryRecruiting
Kim, Gyu-Tae
나노소자
- Optoelectronics & Nanophotonics LabRecruiting
Kim, Soo Jin
반도체 및 나노광소자
- Optimal Analysis and Solutions for Integrated Systems (OASIS)Recruiting
Kim, Yong Sin
집적 시스템 최적화
- Intelligent Media Lab (IML)Recruiting
Kim, Jongok
영상신호처리
- AI and Mobility (AIM) LaboratoryRecruiting
Kim, Joongheon
모빌리티, 딥러닝, 양자인공지능
- Media Communications Lab (MCL)Recruiting
Kim, Changsu
영상처리, 컴퓨터 비전