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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Interpretable attention-deficit hyperactivity disorder diagnosis from functional magnetic resonance imaging via hybrid convolutional neural network–transformer learning and multi-level graph-based comprehensibility

  • R. Harini
  • O. Uma Maheswari
  • K. Lakshmi Priya
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{harini2026interpretable,
  title = {{Interpretable attention-deficit hyperactivity disorder diagnosis from functional magnetic resonance imaging via hybrid convolutional neural network–transformer learning and multi-level graph-based comprehensibility}},
  author = {R. Harini and O. Uma Maheswari and K. Lakshmi Priya},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-72422-0},
  url = {https://www.nature.com/articles/s41598-026-72422-0},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Interpretable attention-deficit hyperactivity disorder diagnosis from functional magnetic resonance imaging via hybrid convolutional neural network–transformer learning and multi-level graph-based comprehensibility
AU  - R. Harini
AU  - O. Uma Maheswari
AU  - K. Lakshmi Priya
PY  - 2026
DA  - 2026/10/05
JO  - Scientific Reports
DO  - 10.1038/s41598-026-72422-0
UR  - https://www.nature.com/articles/s41598-026-72422-0
SN  - 2045-2322
ER  -