QuIIL
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Quantitative Imaging & Informatics Laboratory
  • Hardware-aware Efficient AI

    Integrated design of AI model and neural processing unit architecture

  • Domain Invariant AI

    Domain-shift resistant representation learning

  • Unsupervised Deep Learning

    Towards an automated and unbiased tumor characterization for an improved tissue analysis

  • Deep learning for digital and computational pathology

    Simultaneous nuclei segmentation and classification

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.



SEE . FEEL . THINK . DO .

Announcements

Post-doctoral Positions

QuIIL is looking for enthusiastic and motivated postdoctoral research scientists to join our group. The specific research areas include multi-scale & graph deep learning, multi-modal data analysis, digital pathology, and stroke image analysis. If interested in postdoctral research scientist positions, please contact us at jkwak@korea.ac.kr.

Prospective Gruduate Students

QuIIL is looking for prospective graduate students to join our group. digital pathology, and stroke image analysis. The specific research areas include multi-scale & graph deep learning, multi-modal data analysis, If interested in Master's or Ph.D positions, please contact us at jkwak@korea.ac.kr.

Undergraduate Research Internship

QuIIL is looking for highly motivated undergraduate students to join our group. As an undergraduate student, you will have a chance to work closely in cutting edge areas including artificial intelligence, deep learning, and medical image analysis. If interested, please contact us at jkwak@korea.ac.kr.