OOIR: Observatory of International Research

Papers

(The TQCC of Frontiers in Neuroinformatics is 8. 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 2022-01-01 to 2026-01-01.)

Article	Citations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy	103
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex	98
Editorial: Innovative methods for sleep staging using neuroinformatics	83
The quest to share data	73
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings	50
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network	47
Intra-V1 functional networks and classification of observed stimuli	46
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction	42
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database	39
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment	38
A computational model of Alzheimer's disease at the nano, micro, and macroscales	37
Editorial: Neuroinformatics of large-scale brain modelling	34
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques	32
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data	30
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles	28
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor	28
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps	27
Unsupervised method for representation transfer from one brain to another	26
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies	26
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi	24
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons	23
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression	21
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks	21
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study	21
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression	20

Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN	20
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization	20
QuNex—An integrative platform for reproducible neuroimaging analytics	19
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub	18
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients	18
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study	18
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use	18
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders	18
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures	18
A review of risk concepts and models for predicting the risk of primary stroke	18
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”	17
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute	17
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation	16
Light-weight neural network for intra-voxel structure analysis	16
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation	16
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models	16
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation	16
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi	15
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study	15
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI	15
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps	15
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks	15
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint	14
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data	14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning	14
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder	14
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions	14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma	14
A systematic comparison of deep learning methods for EEG time series analysis	14
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data	14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection	14
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth	13
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus	13
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale	13
Contrastive self-supervised learning for neurodegenerative disorder classification	13
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder	13
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks	13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation	13
Discovering optimal features for neuron-type identification from extracellular recordings	12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks	12
Power spectral analysis of voltage-gated channels in neurons	12
Time-Frequency Representations of Brain Oscillations: Which One Is Better?	12
Editorial: Weakly supervised deep learning-based methods for brain image analysis	12
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS	12
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia	12
Brain-Computer Interface using neural network and temporal-spectral features	12
Events in context—The HED framework for the study of brain, experience and behavior	12
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM	11
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations	11
Investigating cortical complexity and connectivity in rats with schizophrenia	11

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals	11
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study	11
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study	11
Editorial: Reproducible analysis in neuroscience	10
Neuroimaging article reexecution and reproduction assessment system	10
Multiscale co-simulation design pattern for neuroscience applications	10
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources	10
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism	9
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis	9
Can micro-expressions be used as a biomarker for autism spectrum disorder?	9
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset	9
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3	9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks	9
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space	9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning	9
Editorial: Physical neuromorphic computing and its industrial applications	8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models	8
Efficient simulation of neural development using shared memory parallelization	8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns	8
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach	8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence	8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series	8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research	8
Progressive 3D biomedical image registration network based on deep self-calibration	8
Large language models can extract metadata for annotation of human neuroimaging publications	8
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection	8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis	8
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface	8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds	8
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data	8
The ROSMAP project: aging and neurodegenerative diseases through omic sciences	8