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Large Scale Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using $$\mu $$Doppler Ultrasound Imaging
Large Scale Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using $$\mu $$Doppler Ultrasound Imaging
The brain is composed of a dense and ramified vascular network of arteries, veins and capillaries of various sizes. One wa...
Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach
Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to...
Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study
Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study
Intracranial atherosclerotic stenosis (ICAS) and intracranial aneurysms are prevalent conditions in the cerebrovascular sy...
Twenty Years of Neuroinformatics: A Bibliometric Analysis
Twenty Years of Neuroinformatics: A Bibliometric Analysis
This study presents a thorough bibliometric analysis of Neuroinformatics over the past 20 years, offering insights into th...
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
The problem at hand is the significant global health challenge posed by children’s diseases, where timely and accura...
Complementary Strategies to Identify Differentially Expressed Genes in the Choroid Plexus of Patients with Progressive Multiple Sclerosis
Complementary Strategies to Identify Differentially Expressed Genes in the Choroid Plexus of Patients with Progressive Multiple Sclerosis
Multiple sclerosis (MS) is a neurological disease causing myelin and axon damage through inflammatory and autoimmune proce...
Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA)
Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA)
Blood flow velocity in the cerebral perforating arteries can be quantified in a two-dimensional plane with phase contrast ...
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the ma...
Determination of the Time-frequency Features for Impulse Components in EEG Signals
Determination of the Time-frequency Features for Impulse Components in EEG Signals
Accurately identifying the timing and frequency characteristics of impulse components in EEG signals is essential but limi...
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation
The bidirectional interactions between brain and heart through autonomic nervous system is the prime focus of neuro-cardio...
Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis
Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis
The complementary properties of both modalities can be exploited through the fusion of electroencephalography (EEG) and fu...
FrAMBI: A Software Framework for Auditory Modeling Based on Bayesian Inference
FrAMBI: A Software Framework for Auditory Modeling Based on Bayesian Inference
Research in hearing science often relies on auditory models to describe listener’s behaviour and its neural underpin...
Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity
Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity
Background: The occurrence of brain disorders correlates with detectable dysfunctions in the specialization of brain conne...
SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models
SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models
Despite the vast number of publications reporting seizures and the reliance of the field on accurate seizure detection, th...
Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with “Auto ANT”, a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings
Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with “Auto ANT”, a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings
Patch-clamp recordings are vital for investigating the electrical properties of excitable cells, yet the analysis of these...
Optimizing Colocalized Cell Counting Using Automated and Semiautomated Methods
Optimizing Colocalized Cell Counting Using Automated and Semiautomated Methods
Inflammation within the spinal subarachnoid space leads to arachnoid hypercellularity. Multiplex immunohistochemistry (MP-...
Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T-Weighted MRI Gray Matter-White Matter Intensity Contrast
Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T-Weighted MRI Gray Matter-White Matter Intensity Contrast
In T1-weighted magnetic resonance imaging (MRI), cortical thickness (CT) and gray-white matter contrast (GWC) capture brai...
Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome
Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition characterized by a spectrum of behavioral an...
SlicesMapi: An Interactive Three-Dimensional Registration Method for Serial Histological Brain Slices
SlicesMapi: An Interactive Three-Dimensional Registration Method for Serial Histological Brain Slices
Brain slicing is a commonly used technique in brain science research. In order to study the spatial distribution of labele...
Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System
Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System
Sensorimotor computation integrates bottom-up world state information with top-down knowledge and task goals to form actio...
CADENCE — Neuroinformatics Tool for Supervised Calcium Events Detection
CADENCE — Neuroinformatics Tool for Supervised Calcium Events Detection
CADENCE is an open Python 3-written neuroinformatics tool with Qt6 graphic user interface for supervised calcium events de...
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
The brain is an intricate system that controls a variety of functions. It consists of a vast number of cells that exhibit ...
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Diffusion properties from diffusion tensor imaging (DTI) are exquisitely sensitive to white matter abnormalities incurred ...
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
Annotation of multiple regions of interest across the whole mouse brain is an indispensable process for quantitative evalu...
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigatio...
Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA
Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA
This study concentrates on the segmentation of intracranial aneurysms, a pivotal aspect of diagnosis and treatment plannin...
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
Mouse models are crucial for neuroscience research, yet discrepancies arise between macro- and meso-scales due to sample p...
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Schizophrenia is a mental disorder characterized by neurophysiological dysfunctions that result in disturbances in thinkin...
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging – A Symposium Review
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging – A Symposium Review
Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for transl...
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Subdural electrocorticography (ECoG) is a valuable technique for neuroscientific research and for emerging neurotechnologi...
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