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AI Lab

Artificial Intelligence has transformed medical imaging and overall healthcare industry. Our radiologists work hand in hand with partners from SingHealth HSRC, A*STAR IHPC, NTU, NUS on the following AI projects:

  • Automated classification of intracranial haemorrhage on head CT scans – Prof Chan Ling Ling
  • Cross-Modality Deep Learning Brain Tissue Segmentation – Prof Chan Ling Ling
  • Evaluation of ACR appropriateness of brain MRI orders using textual (Natural Language Processing) input – Prof Chan Ling Ling
  • Decoding global gene expression in liver cancer through deep learning and standard-of-care clinical imaging – Dr Lim Kheng Choon

Contact

Please reach out to the respective Principal Investigators above if you are interested to be part of our exciting projects or for more information.

Publications:

  1. Zhu L, Chan LL, Ng TK, Yang K, Zhang M, Ooi BC. Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
  2. Zhang AY, Lam SSW, Ong MEH, Tang PH, Chan LL. Explainable AI: Classification of MRI Brain Scans for Quality Improvement. BDCAT '19: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Dec 2019;95-102. https://doi.org/10.1145/3365109.3368791 
  3. Zhang AY, Lam SSW, Liu N, Pang Y, Chan LL, Tang PH. Development of a Radiology Decision Support System for the Classification of MRI Brain Scans. Proceedings - 5th IEEE/ACM International Conference on Big Data Computing 2019, Applications and Technologies, BDCAT 2018 pp. 107-115