Author

Stephan M. Goetz

University of Cambridge

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 3 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:optimal transport· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ke MaiD· 4 shared Angel V. PetercheviD· 1 shared Benham Seyedi· 1 shared J. Matías Di MartinoiD· 1 shared John C. RothwelliD· 1 shared Maryam Farahmandrad· 1 shared Sung Wook ChungiD· 1 shared Thomas KammeriD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersNeuroscience

Ke MaORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Variability and Landmark Quality in Anatomical Co-Registration in Neuronavigation for Brain Stimulation

Zhino Ebrahimi, Maryam Farahmandrad, Benham Seyedi, Ziye Xie, J. Matías Di Martino, Angel V. Peterchev, Thomas Kammer, Stephan M. Goetz

This study quantifies variability in anatomical landmark localization during neuronavigation, showing operator- and landmark-specific differences and the impact of marking on inter-operator agreement.

bioRxiv · Nov 1, 2026 · PreprintNeuroscience

A user-friendly input-output (IO) curve analysis tool for variable brain stimulation responses, particularly evoked potentials in transcranial magnetic stimulation (TMS)

Ke Ma, Stephan M. Goetz

The paper introduces a user-friendly tool for analyzing input-output curves from brain stimulation responses, enabling statistical analysis and variability separation.

bioRxiv · Jan 12, 2024 · PreprintBioinformatics

Exploring the Dose-Dependency of After-Effects: A Computational Model for Theta-Burst Transcranial Magnetic Stimulation

Ke Ma, Sung Wook Chung, Stephan M. Goetz

The paper develops a computational model to explore the dose-dependency of theta-burst transcranial magnetic stimulation (TBS) protocols, capturing non-linearities in synaptic plasticity and metaplasticity.

bioRxiv · Jul 3, 2023 · PreprintNeuroscience

Optimisation of asymmetric field pulses for transcranial magnetic stimulation

Ke Ma, Stephan M. Goetz

This paper optimises asymmetric field pulses for transcranial magnetic stimulation to reduce energy loss and coil heating, showing that asymmetric pulses with specific waveform characteristics are more power-efficient than conventional ones.

bioRxiv · May 1, 2023 · PreprintNeuroscience

A revised calcium-dependent model of theta-burst transcranial magnetic stimulation

Ke Ma, John C. Rothwell, Stephan M. Goetz

This paper corrects a computational model of theta-burst TMS by fixing code inconsistencies and introducing a non-convex optimisation method, improving its accuracy in describing MEP amplitudes.

Clinical Neurophysiology · Sep 29, 2022Peer-reviewedNeuroscience