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Frontiers in Neuroinformatics|March 15, 2024
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNetJavier V Juan, Rubén Martínez, Eduardo Iáñez, et al.
Frontiers in Neuroinformatics|September 24, 2024
Efficient federated learning for distributed neuroimaging dataBishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, et al.
Frontiers in Neuroinformatics|February 14, 2024
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning modelsThomas Tveitstøl, Mats Tveter, Ana S Pérez T, et al.
Frontiers in Neuroinformatics|October 16, 2023
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAINDarius Valevicius, Natacha Beck, Lars Kasper, et al.
Frontiers in Neuroinformatics|October 13, 2023
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging dataTung Dang, Alan S R Fermin, Maro G Machizawa
Frontiers in Neuroinformatics|July 26, 2023
Automated detection of cerebral microbleeds on MR images using knowledge distillation frameworkVaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, et al.
Frontiers in Neuroinformatics|August 9, 2023
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary useSatya S Sahoo, Matthew D Turner, Lei Wang, et al.
Frontiers in Neuroinformatics|August 21, 2023
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networksKarissa Chan, Pejman Jabehdar Maralani, Alan R Moody, et al.
Frontiers in Neuroinformatics|August 31, 2023
Decision trees to evaluate the risk of developing multiple sclerosisManuela Pasella, Fabio Pisano, Barbara Cannas, et al.
Frontiers in Neuroinformatics|August 28, 2023
Microglial morphometric analysis: so many options, so little consistencyJack Reddaway, Peter Eulalio Richardson, Ryan J Bevan, et al.
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