A Novel Semi-supervised Neural Network for Recognizing Parkinson’s Disease
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05933-9_10
Reference24 articles.
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2. Bowman, F.D., Drake, D.F., Huddleston, D.E.: Multimodal imaging signatures of Parkinson’s disease. Front. Neurosci. 10, 131 (2016)
3. Delannoy, Q., et al.: SegSRGAN: super-resolution and segmentation using generative adversarial networks - application to neonatal brain MRI. Comput. Biol. Med. 120, 103755 (2020)
4. Ebtehaj, I., Bonakdari, H., Zaji, A.H., Sharafi, H.: Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method. Neural Comput. Appl. 31(12), 9145–9156 (2018). https://doi.org/10.1007/s00521-018-3696-6
5. Fayyad, M., et al.: Parkinson’s disease biomarkers based on $$\alpha $$-synuclein. J. Neurochem. 150(5), 626–636 (2019)
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