Search Results - "Brusselmans, Marius"

  • Showing 1 - 6 results of 6
Refine Results
  1. 1
  2. 2

    Secondary tricuspid valve regurgitation after isolated aortic valve replacement: outcomes and predictors by Buonocore, Marianna, De Meester, Pieter, Brusselmans, Marius, Van Puyvelde, Tim, Verrijcken, Anton, Rega, Filip, Verbelen, Tom

    “…Abstract OBJECTIVES We sought to assess the evolution of secondary tricuspid regurgitation (TR) after isolated aortic valve replacement (AVR) and its impact on…”
    Get full text
    Journal Article
  3. 3
  4. 4

    Diagnostic accuracy of ultrasound and MR imaging in peroneal neuropathy: A prospective, single‐center study by Oosterbos, Christophe, Weerdt, Olaf De, Lembrechts, Matthias, Radwan, Ahmed, Brys, Peter, Brusselmans, Marius, Bogaerts, Kris, Peeters, Ronald, Van Hoylandt, Anaïs, Hoornaert, Sophie, Lemmens, Robin, Theys, Tom

    Published in Muscle & nerve (01-09-2024)
    “…Introduction/Aims Magnetic resonance imaging (MRI) findings in peroneal neuropathy are not well documented and the prognostic value of imaging remains…”
    Get full text
    Journal Article
  5. 5

    On the importance of assessing topological convergence in Bayesian phylogenetic inference by Brusselmans, Marius, Carvalho, Luiz Max, L. Hong, Samuel, Gao, Jiansi, Matsen IV, Frederick A, Rambaut, Andrew, Lemey, Philippe, Suchard, Marc A, Dudas, Gytis, Baele, Guy

    Published in Virus evolution (12-11-2024)
    “…Abstract Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to…”
    Get full text
    Journal Article
  6. 6

    On the importance of assessing topological convergence in Bayesian phylogenetic inference by Brusselmans, Marius, Carvalho, Luiz Max, Hong, Samuel L, Gao, Jiansi, MatsenIV, Frederick A, Rambaut, Andrew, Lemey, Philippe, Suchard, Marc A, Dudas, Gytis, Baele, Guy

    Published 18-02-2024
    “…Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate…”
    Get full text
    Journal Article