Author

G. M. Noetscher

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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Bioengineering· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:simulation· 1

Frequent Co-Authors

A. Nummenmaa· 2 shared A. T. Htet· 2 shared E. H. Burnham· 2 shared S. N. Makarov· 2 shared A. Nazarian· 1 shared A. Prokop· 1 shared G. B. Saturnino· 1 shared J. Ackerman· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioengineering

A. Nummenmaa

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Author profile →

3 papers

Recent·Most cited

An In-Silico Testbed for Fast and Accurate MR Labeling of Orthopaedic Implants

G. M. Noetscher, P. J. Serano, M. Horner, A. Prokop, J. Hanson, K. Fujimoto, J. E. Brown, A. Nazarian, J. Ackerman, S. N. Makaroff

The paper presents an in-silico testbed for MR labeling of orthopaedic implants, approved by FDA as a medical device development tool for 1.5 T examinations.

bioRxiv · Jul 16, 2023 · PreprintBiophysics

Comparative Performance of the Finite Element Method and the Boundary Element Fast Multipole Method for Problems Mimicking Transcranial Magnetic Stimulation (TMS)

A. T. Htet, G. B. Saturnino, E. H. Burnham, G. M. Noetscher, A. Nummenmaa, S. N. Makarov

This paper compares the finite element method and boundary element fast multipole method for transcranial magnetic stimulation simulations, finding BEM-FMM offers lower error and faster performance for high-resolution models.

bioRxiv · Dec 21, 2018Bioengineering

Collection of Sixteen High-Quality Human Head CAD Models Generated with SimNIBS 2.1 Using Connectome Subject Data within MATLAB(R) Platform

A. T. Htet, G. M. Noetscher, E. H. Burnham, A. Nummenmaa, S. N. Makarov

The paper introduces sixteen high-resolution human head CAD models for electromagnetic and acoustic simulations, generated from HCP MRI data using SimNIBS 2.1 in MATLAB.

bioRxiv · Nov 29, 2018 · PreprintBioengineering