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|Sep 13, 2018||
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning
Abstract The study of neuronal morphology in relation to function, and the development of effective medicines to positively impact this relationship...
|Aug 20, 2018||
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems
Abstract We report on novel supervised algorithms for single-trial brain state decoding. Their reliability and robustness are essential to efficiently...
|Aug 13, 2018||
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
Abstract Manual and semi-automatic identification of artifacts and unwanted physiological signals in large intracerebral electroencephalographic...
|Aug 11, 2018||
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity
Abstract Analysis and interpretation of functional magnetic resonance imaging (fMRI) has been used to characterise many neuronal diseases, such...
|Aug 9, 2018||
Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis
Abstract In order to decode human brain, Multivariate Pattern (MVP) classification generates cognitive models by using functional Magnetic Resonance...
|Jul 23, 2018||
FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree
Abstract Neuron reconstruction is an important technique in computational neuroscience. Although there are many reconstruction algorithms, few can...
|Jul 18, 2018||
Special Issue on High Performance Computing in Bio-medical Informatics
|Jul 16, 2018||
Towards Differential Connectomics with NeuroVIISAS
Abstract The comparison of connectomes is an essential step to identify changes in structural and functional neuronal networks. However, the connectomes...
|Jul 14, 2018||
Morphological Neuron Classification Based on Dendritic Tree Hierarchy
Abstract The shape of a neuron can reveal interesting properties about its function. Therefore, morphological neuron characterization can contribute...
|Jul 13, 2018||
A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain
Abstract The squirrel monkey (Saimiri sciureus) is a commonly-used surrogate for humans in biomedical research. In the neuroimaging community, MRI...
|Jun 29, 2018||
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases
Abstract Neuroimaging science has seen a recent explosion in dataset size driving the need to develop database management with efficient processing...
|Jun 28, 2018||
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis
Abstract Kinetic modeling is at the basis of most quantification methods for dynamic PET data. Specific software is required for it, and a free...
|Jun 27, 2018||
User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP
Abstract ITK-SNAP is an interactive software tool for manual and semi-automatic segmentation of 3D medical images. This paper summarizes major new...
|Jun 15, 2018||
A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis
Abstract To characterize associations between genetic and neuroimaging data, a variety of analytic methods have been proposed in neuroimaging genetic...
|Jun 15, 2018||
PyPNS: Multiscale Simulation of a Peripheral Nerve in Python
Abstract Bioelectronic Medicines that modulate the activity patterns on peripheral nerves have promise as a new way of treating diverse medical...
|Jun 8, 2018||
Predict MiRNA-Disease Association with Collaborative Filtering
Abstract The era of human brain science research is dawning. Researchers utilize the various multi-disciplinary knowledge to explore the human brain,such...
|May 25, 2018||
Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression
Abstract Accurate and automatic prediction of cognitive assessment from multiple neuroimaging biomarkers is crucial for early detection of Alzheimer’s...
|May 23, 2018||
|May 21, 2018||
Longitudinal Neuroimaging Hippocampal Markers for Diagnosing Alzheimer’s Disease
Abstract Hippocampal atrophy measures from magnetic resonance imaging (MRI) are powerful tools for monitoring Alzheimer’s disease (AD) progression....
|May 3, 2018||
SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation
Abstract Inspired by classic Generative Adversarial Networks (GANs), we propose a novel end-to-end adversarial neural network, called SegAN, for...
|May 2, 2018||
The Decision Decoding ToolBOX (DDTBOX) – A Multivariate Pattern Analysis Toolbox for Event-Related Potentials
Abstract In recent years, neuroimaging research in cognitive neuroscience has increasingly used multivariate pattern analysis (MVPA) to investigate...
|Apr 28, 2018||
New Features for Neuron Classification
Abstract This paper addresses the problem of obtaining new neuron features capable of improving results of neuron classification. Most studies on...
|Apr 27, 2018||
Neuroimaging Neuroinformatics: Sample Size and Other Evolutionary Topics
|Apr 25, 2018||
GPU Accelerated Browser for Neuroimaging Genomics
Abstract Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the genetic basis of brain structure and...
|Apr 11, 2018||
SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph
Abstract MiRNA-disease association is important to disease diagnosis and treatment. Prediction of miRNA-disease associations is receiving increasing...
|Mar 29, 2018||
Validation and Optimization of BIANCA for the Segmentation of Extensive White Matter Hyperintensities
Abstract White matter hyperintensities (WMH) are a hallmark of small vessel diseases (SVD). Yet, no automated segmentation method is readily and...
|Mar 23, 2018||
Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
Abstract Accurate and early diagnosis of Alzheimer’s disease (AD) plays important role for patient care and development of future treatment. Structural...
|Mar 23, 2018||
Decreased Cerebral Blood Flow in Mesial Thalamus and Precuneus/PCC during Midazolam Induced Sedation Assessed with ASL
Abstract While some previous work suggests that midazolam-induced light sedation results from the functional disconnection within resting state...
|Mar 21, 2018||
Fast, Accurate, and Stable Feature Selection Using Neural Networks
Abstract Multi-voxel pattern analysis often necessitates feature selection due to the high dimensional nature of neuroimaging data. In this context,...
|Mar 7, 2018||
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation
Abstract Automatic and accurate segmentation of hippocampal structures in medical images is of great importance in neuroscience studies. In multi-atlas...
|Mar 7, 2018||
Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia
Abstract Mathematical modeling is a powerful tool that enables researchers to describe the experimentally observed dynamics of complex systems....
|Mar 5, 2018||
A Bit-Encoding Based New Data Structure for Time and Memory Efficient Handling of Spike Times in an Electrophysiological Setup
Abstract Recent neuroscientific and technical developments of brain machine interfaces have put increasing demands on neuroinformatic databases...
|Mar 3, 2018||
Kaleido : Visualizing Big Brain Data with Automatic Color Assignment for Single-Neuron Images
Abstract Effective 3D visualization is essential for connectomics analysis, where the number of neural images easily reaches over tens of thousands....
|Feb 27, 2018||
Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts
Abstract In recent years, natural stimuli such as audio excerpts or video streams have received increasing attention in neuroimaging studies. Compared...
|Feb 17, 2018||
Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation
Abstract The advances in neuroimaging methods reveal that resting-state functional fMRI (rs-fMRI) connectivity measures can be potential diagnostic...
|Feb 15, 2018||
Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning
Abstract Pathogenesis-based diagnosis is a key step to prevent and control lumbar neural foraminal stenosis (LNFS). It conducts both early diagnosis...
|Feb 12, 2018||
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality
Abstract Recently released large-scale neuron morphological data has greatly facilitated the research in neuroinformatics. However, the sheer volume...
|Feb 8, 2018||
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction
Abstract The most recent history of parallel Magnetic Resonance Imaging (pMRI) has in large part been devoted to finding ways to reduce acquisition...
|Feb 6, 2018||
Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification
Abstract The integration of the latest breakthroughs in bioinformatics technology from one side and artificial intelligence from another side, enables...
|Feb 5, 2018||
Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli
Abstract Visual cortex forms the basis of visual processing and plays important roles in visual encoding. By using the recently published Allen...
|Jan 20, 2018||
Deep Learning and Computational Neuroscience
|Jan 20, 2018||
Field of View Normalization in Multi-Site Brain MRI
Abstract Multi-site brain MRI analysis is needed in big data neuroimaging studies, but challenging. The challenges lie in almost every analysis...
|Jan 19, 2018||
A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain
Abstract During aging the brain undergoes a series of structural changes, in size, shape as well as tissue composition. In particular, cortical...
|Jan 19, 2018||
Detailed T1-Weighted Profiles from the Human Cortex Measured in Vivo at 3 Tesla MRI
Abstract Studies into cortical thickness in psychiatric diseases based on T1-weighted MRI frequently report on aberrations in the cerebral cortex....
|Jan 19, 2018||
Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis
Abstract How to read Uyghur text from biomedical graphic images is a challenge problem due to the complex layout and cursive writing of Uyghur....
|Jan 18, 2018||
Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction
Abstract The automatic neuron reconstruction is important since it accelerates the collection of 3D neuron models for the neuronal morphological...
|Jan 3, 2018||
Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models
Abstract Pattern recognition models have been increasingly applied to neuroimaging data over the last two decades. These applications have ranged...
|Dec 26, 2017||
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis
Abstract We present a standalone, scalable and high-throughput software platform for PET image reconstruction and analysis. We focus on high fidelity...
|Dec 21, 2017||
Multi-Table Differential Correlation Analysis of Neuroanatomical and Cognitive Interactions in Turner Syndrome
Abstract Girls and women with Turner syndrome (TS) have a completely or partially missing X chromosome. Extensive studies on the impact of TS on...
|Nov 10, 2017||
larvalign : Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster
Abstract The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker...
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