Quantitative Imaging & Informatics Laboratory pursues excellence and integrity in
research and education. Through the computational techniques and knowledge, we dare to challenge and
resolve real-world problems.
The primary focus of our research is to develop the cutting-edge artificial intelligence and
deep learning techniques for a wide range of data and applications.
QuIIL is looking for enthusiastic & talented graduate students and post-docs. Prospective graduate students and post-docs are encouraged to contact Prof. Kwak via email.
Recent News & Announcements More
"Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios" accepted by Computers in Biology and Medicine
NRF mid-career grant was awarded to QuIIL
"MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis" accepted by MEDIA
D.C. Bui et al. accepted for presentation at ACCV2024
"Spatially-constrained and -unconstrained bi-graph interaction network for multi-organ pathology image classification" accepted by IEEE TMI
"3D Mobile Regression Vision Transformer for Collateral Imaging in Acute Ischemic Stroke" accepted by IJCARS
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