Frontiers in Neuroinformatics

Papers
(The H4-Index of Frontiers in Neuroinformatics is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models102
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies62
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI58
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey53
SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction49
X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech44
neuPrint: An open access tool for EM connectomics43
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation39
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes36
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload32
PyGeNN: A Python Library for GPU-Enhanced Neural Networks31
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network29
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network28
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging28
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets27
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance26
NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data26
Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain26
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure25
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks24
Microglial morphometric analysis: so many options, so little consistency23
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism22
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