Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44858-4_12
Reference33 articles.
1. Ahammed, M.S., Niu, S., Ahmed, M.R., Dong, J., Gao, X., Chen, Y.: DarkASDNet: classification of ASD on functional MRI using deep neural network. Front. Neuroinf. 15, 635657 (2021)
2. Ashburner, J.: A fast diffeomorphic image registration algorithm. Neuroimage 38(1), 95–113 (2007)
3. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization (2016)
4. Biswal, B., Yetkin, F.Z., Haughton, V.M., Hyde, J.S.: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 34(4), 537–541 (1995)
5. Brihadiswaran, G., Haputhanthri, D., Gunathilaka, S., Meedeniya, D., Jayarathna, S.: EEG-based processing and classification methodologies for autism spectrum disorder: a review. J. Comput. Sci. 15(8), 1161–1183 (2019)
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