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> Machine learning for medical imaging > Compressed sensing theory > Stochastic optimisation for large-scale machine learning

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  • Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations

    Chen, D., Davies, M. E. & Golbabaee, M., 29 Sep 2020, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery

    Golbabaee, M., Chen, Z., Wiaux, Y. & Davies, M. E., 7 Dec 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, (Machine Learning for Signal Processing; vol. 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    4 Citations (SciVal)