Frontiers in Neuroinformatics

(The TQCC of Frontiers in Neuroinformatics is 6. 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 2020-05-01 to 2024-05-01.)
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models88
A Systemic Review of Available Low-Cost EEG Headsets Used for Drowsiness Detection81
A Machine Learning Approach for the Differential Diagnosis of Alzheimer and Vascular Dementia Fed by MRI Selected Features70
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies56
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI52
SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction49
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey44
X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech36
neuPrint: An open access tool for EM connectomics33
Nutil: A Pre- and Post-processing Toolbox for Histological Rodent Brain Section Images32
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes31
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation29
PyGeNN: A Python Library for GPU-Enhanced Neural Networks27
Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain24
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network24
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload22
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets21
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism21
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging21
NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data21
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network21
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance20
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases19
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI18
Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network18
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network17
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography17
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure16
Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest16
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI16
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks16
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data16
Scale-free and oscillatory spectral measures of sleep stages in humans14
A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra14
Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python14
QuNex—An integrative platform for reproducible neuroimaging analytics14
Classification of Schizophrenia by Functional Connectivity Strength Using Functional Near Infrared Spectroscopy14
Integrative Base Ontology for the Research Analysis of Alzheimer’s Disease-Related Mild Cognitive Impairment13
Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epile13
QDECR: A Flexible, Extensible Vertex-Wise Analysis Framework in R12
A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience12
Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE12
Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network12
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on “Deep Learning System”12
A Validation of Supervised Deep Learning for Gait Analysis in the Cat12
Microglial morphometric analysis: so many options, so little consistency11
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps11
Development of a Non-invasive Deep Brain Stimulator With Precise Positioning and Real-Time Monitoring of Bioimpedance11
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis11
Constructing Brain Connectivity Model Using Causal Network Reconstruction Approach10
Comparative Study of Multi-Delay Pseudo-Continuous Arterial Spin Labeling Perfusion MRI and CT Perfusion in Ischemic Stroke Disease10
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas10
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination10
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery10
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia10
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data9
JUN and PDGFRA as Crucial Candidate Genes for Childhood Autism Spectrum Disorder9
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased I9
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research9
Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification9
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers9
Editorial: Reproducibility and Rigour in Computational Neuroscience8
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization8
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism8
Bioinformatic Analysis of the Proteome in Exosomes Derived From Plasma: Exosomes Involved in Cholesterol Metabolism Process of Patients With Spinal Cord Injury in the Acute Phase8
An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography8
Advances in Astrocyte Computational Models: From Metabolic Reconstructions to Multi-omic Approaches8
Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks8
Prediction model for suicide based on back propagation neural network and multilayer perceptron8
Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children8
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure8
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs8
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications7
Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors7
Knowledge Representation for Multi-Scale Physiology Route Modeling7
MP3: Medical Software for Processing Multi-Parametric Images Pipelines7
Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective Study7
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions7
Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies7
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case7
Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression7
Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring7
Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster7
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian6
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps6
A Spelling Paradigm With an Added Red Dot Improved the P300 Speller System Performance6
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling6
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease6
Time-Frequency Representations of Brain Oscillations: Which One Is Better?6
Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis6
FlywheelTools: Data Curation and Manipulation on the Flywheel Platform6
Temporal and spatial dynamic propagation of electroencephalogram by combining power spectral and synchronization in childhood absence epilepsy6
Studying the Factors of Human Carotid Atherosclerotic Plaque Rupture, by Calculating Stress/Strain in the Plaque, Based on CEUS Images: A Numerical Study6
Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference6
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations6
Self-Regulation in the Time of Lockdown6
A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease6
Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis6
OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys6
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems6
Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials6
NICA: A Novel Toolbox for Near-Infrared Spectroscopy Calculations and Analyses6
Effects of Visual Attentional Load on the Tactile Sensory Memory Indexed by Somatosensory Mismatch Negativity6
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data6
Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy6
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features6
From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings6