Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis
- DOI
- 10.1038/s41598-024-74282-y
- Published
- 2024-10-18
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-74282-y,
title = {Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis},
author = {MohammadHadi Firouzi and Kamran Kazemi and Maliheh Ahmadi and Mohammad Sadegh Helfroush and Ardalan Aarabi},
year = {2024},
journal = {Scientific Reports},
doi = {10.1038/s41598-024-74282-y},
url = {https://doi.org/10.1038/s41598-024-74282-y}
}RIS
TY - JOUR TI - Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis AU - MohammadHadi Firouzi AU - Kamran Kazemi AU - Maliheh Ahmadi AU - Mohammad Sadegh Helfroush AU - Ardalan Aarabi PY - 2024 JO - Scientific Reports DO - 10.1038/s41598-024-74282-y UR - https://doi.org/10.1038/s41598-024-74282-y ER -
APA
Firouzi, M., Kazemi, K., Ahmadi, M., Helfroush, M. S., & Aarabi, A. (2024). Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis. Scientific Reports. https://doi.org/10.1038/s41598-024-74282-y
Source records
- crossref · retrieved 2026-09-26T19:44:36.321Z