Frontiers in Neuroinformatics

Papers
(The TQCC of Frontiers in Neuroinformatics is 9. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics101
The quest to share data60
Intra-V1 functional networks and classification of observed stimuli58
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings56
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction47
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex46
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy45
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database39
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data35
Editorial: Neuroinformatics of large-scale brain modelling34
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor33
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles32
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques30
A computational model of Alzheimer's disease at the nano, micro, and macroscales30
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment30
Explainable 3D vision transformer framework for detecting brain anomalies in neuropsychiatric subtypes of Parkinson's disease28
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression25
Unsupervised method for representation transfer from one brain to another25
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression24
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi24
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN24
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps23
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study23
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons21
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies21
QuNex—An integrative platform for reproducible neuroimaging analytics20
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization20
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub19
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use19
Light-weight neural network for intra-voxel structure analysis19
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures19
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study18
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute17
A review of risk concepts and models for predicting the risk of primary stroke17
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders17
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation17
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study16
Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease16
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients16
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks16
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”16
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi16
Editorial: Multimodal brain data integration and computational modeling16
Automatic coarse-to-fine AC-PC localization on CT using registration-guided 3D-UNets15
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation15
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions14
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth13
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data13
A systematic comparison of deep learning methods for EEG time series analysis13
Discovering optimal features for neuron-type identification from extracellular recordings13
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder13
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Reliability and diagnostic performance of an automated MRI-based classifier compared with radiologists in Alzheimer’s disease12
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint12
BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning12
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation11
Power spectral analysis of voltage-gated channels in neurons11
Brain-Computer Interface using neural network and temporal-spectral features11
Editorial: Weakly supervised deep learning-based methods for brain image analysis11
Contrastive self-supervised learning for neurodegenerative disorder classification11
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale11
Investigating cortical complexity and connectivity in rats with schizophrenia10
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals10
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study10
Neuroimaging article reexecution and reproduction assessment system10
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM10
Events in context—The HED framework for the study of brain, experience and behavior10
Editorial: Reproducible analysis in neuroscience10
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS10
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis9
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset9
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Editorial: Physical neuromorphic computing and its industrial applications9
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
Multiscale co-simulation design pattern for neuroscience applications9
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning9
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