ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar
- All publications
- Recent NIPS, ICML, ICLR, AAAI, AISTATS conferences
- Clinical publications

    Breast Cancer

    Multi-modality Screening and Contextual Learning

  1. A. M. Alaa, F. J. Gilbert, Y. Huang, M. van der Schaar, "Machine Learning for Identifying the Value of Digital Breast Tomosynthesis using Data from a Multicentre Retrospective Study," Radiological Society of North America (RSNA), 2018. [Link] [Presentation]
  2. A. Alaa, K. H. Moon, W. Hsu and M. van der Schaar, "ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening," IEEE Transactions on Multimedia - Special Issue on Multimedia-based Healthcare, 2016. [Link]
  3. L. Song, W. Hsu, J. Xu and M. van der Schaar, "Using contextual learning to improve diagnostic accuracy: application in breast cancer screening," IEEE J. Biomedical and Health Informatics, 2015. [Link]
  4. C. Tekin and M. van der Schaar, "Active Learning in Context-Driven Stream Mining with an Application to Image Mining," IEEE Trans. Image Process., vol. 24, no. 11, pp. 3666-3679, 2015. [Link]

      5. Individualized treatment effects

    1. J. Yoon, C. Davtyan, M. van der Schaar, "Discovery and Clinical Decision Support for Personalized Healthcare," IEEE J. Biomedical and Health Informatics, 2016. [Link]
    2. B. Lim, A. Alaa, M. van der Schaar, "Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks," NIPS, 2018. [Link]

        3. Discovering the expert (Using ML to build expertise networks for Cancer

      1. C. Tekin, O. Atan and M. van der Schaar, "Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis," IEEE Transactions on Emerging Topics in Computing, vol. 3, no. 2, pp. 220 - 234, 2015. [Link]