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researcher

F. Turkheimer

3 papers hereh-index 7823.9k citations404 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.NC2
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

most citedAnalysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.NC2020

Fighting seizures with seizures: diffusion and stability in neural systems

Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston +8

Seizure activity is a ubiquitous and pernicious pathophysiology that, in principle, should yield to mathematical treatments of (neuronal) ensemble dynamics - and therefore interven…

q-bio.PE2020★ 2 cited

Estimating required 'lockdown' cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, 'S0', in seven European countries including the UK and Ireland

Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen +6

We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Tw…

q-bio.NC2019★ 2 cited

Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures

Jessica Dafflon, Walter H. L Pinaya, Federico Turkheimer +7

The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to…

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