Towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53966-4_26
Reference16 articles.
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3. Cunningham, J.P., Yu, B.M.: Dimensionality reduction for large-scale neural recordings. Nat. Neurosci. 17, 1500–1509 (2014). https://doi.org/10.1038/nn.3776
4. Wheelock, M.D., Culver, J.P., Eggebrecht, A.T.: High-density diffuse optical tomography for imaging human brain function. Rev. Sci. Instrum. 90, 051101 (2019). https://doi.org/10.1063/1.5086809
5. Eastmond, C., Subedi, A., De, S., Intes, X.: Deep learning in fNIRS: a review. Neurophotonics 9, 041411 (2022). https://doi.org/10.1117/1.NPh.9.4.041411
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