DICOM datasets for reproducible neuroimaging research across manufacturers and software versions.

Rorden C, Béranger B, Cheng H, Clemence M, Debacker C, Fernandez B, Halchenko YO, Harms MP, Holla B, Innis I, Kuijer JPA, Levitas D, Litinas K, Luci J, Newman-Norlund R, Peltier S, Rehwald W, Reid RI, Rogers B, Schwarz CG, Shin J, Ganesan V, Ganji S, Morgan PS

Open source

DOI
10.1038/s41597-025-05503-w
Published
2025 Jul 9
Container
Scientific data
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41597-025-05503-w,
  title = {DICOM datasets for reproducible neuroimaging research across manufacturers and software versions.},
  author = {Rorden C and Béranger B and Cheng H and Clemence M and Debacker C and Fernandez B and Halchenko YO and Harms MP and Holla B and Innis I and Kuijer JPA and Levitas D and Litinas K and Luci J and Newman-Norlund R and Peltier S and Rehwald W and Reid RI and Rogers B and Schwarz CG and Shin J and Ganesan V and Ganji S and Morgan PS},
  year = {2025},
  journal = {Scientific data},
  doi = {10.1038/s41597-025-05503-w},
  url = {https://doi.org/10.1038/s41597-025-05503-w}
}

RIS

TY  - JOUR
TI  - DICOM datasets for reproducible neuroimaging research across manufacturers and software versions.
AU  - Rorden C
AU  - Béranger B
AU  - Cheng H
AU  - Clemence M
AU  - Debacker C
AU  - Fernandez B
AU  - Halchenko YO
AU  - Harms MP
AU  - Holla B
AU  - Innis I
AU  - Kuijer JPA
AU  - Levitas D
AU  - Litinas K
AU  - Luci J
AU  - Newman-Norlund R
AU  - Peltier S
AU  - Rehwald W
AU  - Reid RI
AU  - Rogers B
AU  - Schwarz CG
AU  - Shin J
AU  - Ganesan V
AU  - Ganji S
AU  - Morgan PS
PY  - 2025
JO  - Scientific data
DO  - 10.1038/s41597-025-05503-w
UR  - https://doi.org/10.1038/s41597-025-05503-w
ER  - 

APA

C, R., B, B., H, C., M, C., C, D., B, F., YO, H., MP, H., B, H., I, I., JPA, K., D, L., K, L., J, L., R, N., S, P., W, R., RI, R., B, R., CG, S., J, S., V, G., S, G., & PS, M. (2025). DICOM datasets for reproducible neuroimaging research across manufacturers and software versions.. Scientific data. https://doi.org/10.1038/s41597-025-05503-w

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