The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).

Chaki J, Deshpande G.

DOI: 10.1007/s12021-026-09775-4
Published: 2026-03-27
Container: Neuroinformatics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s12021-026-09775-4,
  title = {The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).},
  author = {Chaki J and  Deshpande G.},
  year = {2026},
  journal = {Neuroinformatics},
  doi = {10.1007/s12021-026-09775-4},
  url = {https://doi.org/10.1007/s12021-026-09775-4}
}

RIS

TY  - JOUR
TI  - The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).
AU  - Chaki J
AU  -  Deshpande G.
PY  - 2026
JO  - Neuroinformatics
DO  - 10.1007/s12021-026-09775-4
UR  - https://doi.org/10.1007/s12021-026-09775-4
ER  -

APA

J, C., & G., D. (2026). The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).. Neuroinformatics. https://doi.org/10.1007/s12021-026-09775-4

Source records

europe-pmc · retrieved 2026-09-25T12:39:49.337Z