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Department
  • Psychology
  • Research Focus

    Keywords

  • Machine Learning
  • Clinical Conditions

  • Alzheimer's disease
  • Equipment & Techniques

  • Computational modelling
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    Michael Burkhart

    University Position
    Research Associate

    Interests

    • machine learning-based approaches for the early detection of neurodegenerative disease, specifically Alzheimer's • sequential inference • causal inference • semi-supervised learning

    Key Publications

    Fixed point conditions for non-coprime actions

    DOI: http://doi.org/10.1017/prm.2023.96
    Journal: Proceedings of the Royal Society of Edinburgh: Section A Mathematics
    E-pub date: 11 Sep 2023
    Authors: MC Burkhart

    Neuroevolutionary representations for learning heterogeneous treatment effects

    DOI: http://doi.org/10.1016/j.jocs.2023.102054
    Journal: Journal of Computational Science
    E-pub date: 1 Jul 2023
    Authors: MC Burkhart, G Ruiz

    Deep low-density separation for semi-supervised classification

    DOI: http://doi.org/10.1007/978-3-030-50420-5_22
    Journal: COMPUTATIONAL SCIENCE - ICCS 2020, PT III
    E-pub date: 1 Aug 2020
    Authors: MC Burkhart, K Shan

    The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models.

    DOI: http://doi.org/10.1162/neco_a_01275
    Journal: Neural Comput
    E-pub date: 1 May 2020
    Authors: MC Burkhart, DM Brandman, B Franco, LR Hochberg, MT Harrison

    Publications

    Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review.

    DOI: http://doi.org/10.1002/alz.13412
    Journal: Alzheimers Dement
    E-pub date: 1 Dec 2023
    Authors: RJ Borchert, T Azevedo, A Badhwar, J Bernal, M Betts, R Bruffaerts, MC Burkhart, I Dewachter, HM Gellersen, A Low, I Lourida, L Machado, CR Madan, M Malpetti, J Mejia, S Michopoulou, C Muñoz-Neira, J Pepys, M Peres, V Phillips, S Ramanan, S Tamburin, HM Tantiangco, L Thakur, A Tomassini, A Vipin, E Tang, D Newby, Deep Dementia Phenotyping (DEMON) Network, JM Ranson, DJ Llewellyn, M Veldsman, T Rittman

    Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.

    DOI: http://doi.org/10.1016/j.cccb.2023.100179
    Journal: Cereb Circ Cogn Behav
    E-pub date: 1 Aug 2023
    Authors: R Li, EL Harshfield, S Bell, M Burkhart, AM Tuladhar, S Hilal, DJ Tozer, FM Chappell, SDJ Makin, JW Lo, JM Wardlaw, F-E de Leeuw, C Chen, Z Kourtzi, HS Markus

    The Early Detection of Neurodegenerative diseases initiative: an international and multidisciplinary effort for transforming the early detection of dementia‐causing diseases

    DOI: http://doi.org/10.1002/alz.062434
    Journal: Alzheimer's & Dementia
    E-pub date: 1 Jun 2023
    Authors: F Marinaro, C Morvan, R Au, S Bond, MC Burkhart, N Carlebach, D Chan, D Delbarre, L Farier, A Lacey, H LaMonica, CL Lancaster, LY Lee, DJ Llewellyn, A Mallon, RN Martins, RM Ardle, CJ Mummery, SL Naismith, M Oldham, S Rainey‐Smith, L Santos, S Slight, N Smith, S Thomas, J Venton, C Tolley, K Whitaker, J Wright, S Wilson, K Wing, J Crawford, P Dagum, C Routledge, Z Walker, R Everson, C Hinds, Z Kourtzi

    Conjugacy conditions for supersoluble complements of an abelian base and a fixed point result for non-coprime actions

    DOI: http://doi.org/10.1017/s0013091522000499
    Journal: Proceedings of the Edinburgh Mathematical Society
    E-pub date: 24 Nov 2022
    Authors: MC Burkhart

    Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic review

    DOI: http://doi.org/10.1101/2021.12.12.21267677
    Journal:
    E-pub date: 1 Aug 2021
    Authors: R Borchert, T Azevedo, A Badhwar, J Bernal, M Betts, R Bruffaerts, MC Burkhart, I Dewachter, HM Gellersen, A Low, L Machado, CR Madan, M Malpetti, J Mejia, S Michopoulou, C Muñoz-Neira, M Peres, V Phillips, S Ramanan, S Tamburin, H Tantiangco, L Thakur, A Tomassini, A Vipin, E Tang, D Newby, J Ranson, DJ Llewellyn, M Veldsman, T Rittman

    Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.

    DOI: http://doi.org/10.1162/neco_a_01129
    Journal: Neural Comput
    E-pub date: 1 Nov 2018
    Authors: DM Brandman, MC Burkhart, J Kelemen, B Franco, MT Harrison, LR Hochberg