| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients
|
Vass, L.
|
|
|
|
3 |
p. 587-598
|
artikel
|
| 2 |
A computational model of parallel navigation systems in rodents
|
Chavarriaga, Ricardo
|
|
2005
|
|
3 |
p. 223-241
|
artikel
|
| 3 |
A gateway to the future of neuroinformatics
|
Gardner, Daniel
|
|
2004
|
|
3 |
p. 271-274
|
artikel
|
| 4 |
A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI
|
Scheinost, Dustin
|
|
2013
|
|
3 |
p. 291-300
|
artikel
|
| 5 |
A Method for In-Vivo Mapping of Axonal Diameter Distributions in the Human Brain Using Diffusion-Based Axonal Spectrum Imaging (AxSI)
|
Gast, Hila
|
|
|
|
3 |
p. 469-482
|
artikel
|
| 6 |
A modified temporal self-correlation method for analysis of fMRI time series
|
Lu, Yingli
|
|
2003
|
|
3 |
p. 259-269
|
artikel
|
| 7 |
Anatomical Global Spatial Normalization
|
Lancaster, Jack L.
|
|
2010
|
|
3 |
p. 171-182
|
artikel
|
| 8 |
An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging
|
Kyriazis, Alexander D.
|
|
2018
|
|
3 |
p. 373-389
|
artikel
|
| 9 |
An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy
|
Perens, Johanna
|
|
|
|
3 |
p. 433-446
|
artikel
|
| 10 |
A Novel Group ICA Approach Based on Multi-scale Individual Component Clustering. Application to a Large Sample of fMRI Data
|
Naveau, Mikaël
|
|
2012
|
|
3 |
p. 269-285
|
artikel
|
| 11 |
A PC-Based Motor Control Task for Evaluation and Serial Monitoring of Upper Extremity Motor Function
|
Pergami, P.
|
|
2012
|
|
3 |
p. 323-328
|
artikel
|
| 12 |
Applying Joint Graph Embedding to Study Alzheimer’s Neurodegeneration Patterns in Volumetric Data
|
He, Rosemary
|
|
|
|
3 |
p. 601-614
|
artikel
|
| 13 |
A Practical Workflow for Organizing Clinical Intraoperative and Long-term iEEG Data in BIDS
|
Demuru, Matteo
|
|
|
|
3 |
p. 727-736
|
artikel
|
| 14 |
A Rational Approach to Understanding and Evaluating Responsive Neurostimulation
|
Sisterson, Nathaniel D.
|
|
|
|
3 |
p. 365-375
|
artikel
|
| 15 |
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
|
Shardlow, Matthew
|
|
2018
|
|
3 |
p. 391-406
|
artikel
|
| 16 |
Automated Axon Tracking of 3D Confocal Laser Scanning Microscopy Images Using Guided Probabilistic Region Merging
|
Srinivasan, Ranga
|
|
2007
|
|
3 |
p. 189-203
|
artikel
|
| 17 |
Automated Metadata Suggestion During Repository Submission
|
McDougal, Robert A.
|
|
2018
|
|
3 |
p. 361-371
|
artikel
|
| 18 |
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation
|
Radojević, Miroslav
|
|
2018
|
|
3 |
p. 423-442
|
artikel
|
| 19 |
Automated Template-Based Hippocampal Segmentations from MRI: The Effects of 1.5T or 3T Field Strength on Accuracy
|
Macdonald, Kate E.
|
|
2014
|
|
3 |
p. 405-412
|
artikel
|
| 20 |
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change
|
Fiford, Cassidy M.
|
|
|
|
3 |
p. 429-449
|
artikel
|
| 21 |
Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks
|
Reyes-Sanchez, Manuel
|
|
|
|
3 |
p. 377-393
|
artikel
|
| 22 |
Automatic Brain Extraction for Rodent MRI Images
|
Liu, Yikang
|
|
|
|
3 |
p. 395-406
|
artikel
|
| 23 |
Automatic Denoising of Single-Trial Event-Related Potentials
|
Boudiaf, Mohamed Amine
|
|
|
|
3 |
p. 547-550
|
artikel
|
| 24 |
Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review
|
Caligiuri, Maria Eugenia
|
|
2015
|
|
3 |
p. 261-276
|
artikel
|
| 25 |
Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback–Leibler Measure
|
Kuijf, Hugo J.
|
|
2013
|
|
3 |
p. 395-403
|
artikel
|
| 26 |
Automatic Morphological Reconstruction of Neurons from Multiphoton and Confocal Microscopy Images Using 3D Tubular Models
|
Santamaría-Pang, Alberto
|
|
2015
|
|
3 |
p. 297-320
|
artikel
|
| 27 |
Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population
|
Hannoun, Salem
|
|
2018
|
|
3 |
p. 443-450
|
artikel
|
| 28 |
Autonomous robots based on inspiration from biology
|
Arbib, Michael A.
|
|
2005
|
|
3 |
p. 281-286
|
artikel
|
| 29 |
A Web Resource for Levodopa-Induced Dyskinesia Genetics in Parkinson’s Disease
|
Blankenburg, Hagen
|
|
2017
|
|
3 |
p. 297-300
|
artikel
|
| 30 |
Axiope
|
D’Alessandro, Giampaolo
|
|
2003
|
|
3 |
p. 285-288
|
artikel
|
| 31 |
Axiope tools for data management and data sharing
|
Goddard, Nigel H.
|
|
2003
|
|
3 |
p. 271-284
|
artikel
|
| 32 |
Big Brain Data Initiatives in Universiti Sains Malaysia: Data Stewardship to Data Repository and Data Sharing
|
Hamzah, Nurfaten
|
|
|
|
3 |
p. 589-600
|
artikel
|
| 33 |
Bootstrapping fMRI Data: Dealing with Misspecification
|
Roels, Sanne P.
|
|
2015
|
|
3 |
p. 337-352
|
artikel
|
| 34 |
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study
|
Batta, Ishaan
|
|
|
|
3 |
p. 777-791
|
artikel
|
| 35 |
CANDIShare: A Resource for Pediatric Neuroimaging Data
|
Kennedy, David N.
|
|
2011
|
|
3 |
p. 319-322
|
artikel
|
| 36 |
CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts
|
Operto, Grégory
|
|
2016
|
|
3 |
p. 253-264
|
artikel
|
| 37 |
Causal Network Inference for Neural Ensemble Activity
|
Chen, Rong
|
|
|
|
3 |
p. 515-527
|
artikel
|
| 38 |
Celebrating a decade of neuroscience databases
|
Koslow, Stephen H.
|
|
2004
|
|
3 |
p. 267-269
|
artikel
|
| 39 |
CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations
|
Keto, Laura
|
|
|
|
3 |
p. 483-500
|
artikel
|
| 40 |
Classification of HIV-I-Mediated neuronal dendritic and synaptic damage using multiple criteria linear programming
|
Zheng, Jialin
|
|
2004
|
|
3 |
p. 303-326
|
artikel
|
| 41 |
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data
|
Chen, Rong
|
|
2007
|
|
3 |
p. 178-188
|
artikel
|
| 42 |
Clustered organization of cortical connectivity
|
Hilgetag, Claus C.
|
|
2004
|
|
3 |
p. 353-360
|
artikel
|
| 43 |
Cocaine-Induced Preference Conditioning: a Machine Vision Perspective
|
Traver, V. Javier
|
|
2018
|
|
3 |
p. 343-359
|
artikel
|
| 44 |
Code Generation: A Strategy for Neural Network Simulators
|
Goodman, Dan F. M.
|
|
2010
|
|
3 |
p. 183-196
|
artikel
|
| 45 |
Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia
|
Tohka, Jussi
|
|
2016
|
|
3 |
p. 279-296
|
artikel
|
| 46 |
Controlling for Spurious Nonlinear Dependence in Connectivity Analyses
|
Poskanzer, Craig
|
|
|
|
3 |
p. 599-611
|
artikel
|
| 47 |
Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI
|
Umapathy, Lavanya
|
|
|
|
3 |
p. 651-664
|
artikel
|
| 48 |
Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED)
|
Robbins, Kay
|
|
|
|
3 |
p. 631
|
artikel
|
| 49 |
Correction to: 3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines
|
Das, Nirmal
|
|
|
|
3 |
p. 699
|
artikel
|
| 50 |
Correction to: High‑throughput Analysis of Synaptic Activity in Electrically Stimulated Neuronal Cultures
|
Van Dyck, Michiel
|
|
|
|
3 |
p. 825
|
artikel
|
| 51 |
Correction to: Reproducible Inter-Personal Brain Coupling Measurements in Hyperscanning Settings With functional Near Infra-Red Spectroscopy
|
Bizzego, Andrea
|
|
|
|
3 |
p. 677
|
artikel
|
| 52 |
Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State
|
Aydın, Serap
|
|
|
|
3 |
p. 627-639
|
artikel
|
| 53 |
Data Citation and the Author Byline: Who’s Line Is it Anyway?
|
Kennedy, David N.
|
|
2013
|
|
3 |
p. 263-266
|
artikel
|
| 54 |
Data Persistence Insurance
|
Kennedy, David N.
|
|
2014
|
|
3 |
p. 361-363
|
artikel
|
| 55 |
Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared Data
|
Schutter, Erik De
|
|
2010
|
|
3 |
p. 151-153
|
artikel
|
| 56 |
3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials
|
Sharrock, Matthew F.
|
|
|
|
3 |
p. 403-415
|
artikel
|
| 57 |
Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective
|
Ghazi, Nayereh
|
|
|
|
3 |
p. 517-548
|
artikel
|
| 58 |
Deep Learning Model for the Automated Detection and Histopathological Prediction of Meningioma
|
Zhang, Hua
|
|
|
|
3 |
p. 393-402
|
artikel
|
| 59 |
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset
|
Yousefnezhad, Muhammad
|
|
|
|
3 |
p. 417-431
|
artikel
|
| 60 |
De-Identification Technique with Facial Deformation in Head CT Images
|
Uchida, Tatsuya
|
|
|
|
3 |
p. 575-587
|
artikel
|
| 61 |
Design and Application of Automated Algorithms for Diagnosis and Treatment Optimization in Neurodegenerative Diseases
|
Estella, Francisco
|
|
|
|
3 |
p. 765-775
|
artikel
|
| 62 |
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
|
Yan, Chao-Gan
|
|
2016
|
|
3 |
p. 339-351
|
artikel
|
| 63 |
DREAM
|
Gong, Zhu-Qing
|
|
|
|
3 |
p. 529-545
|
artikel
|
| 64 |
3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines
|
Das, Nirmal
|
|
|
|
3 |
p. 679-698
|
artikel
|
| 65 |
EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface
|
Hosni, Sarah M.
|
|
2018
|
|
3 |
p. 323-341
|
artikel
|
| 66 |
Effects of random external background stimulation on network synaptic stability after tetanization
|
Chao, Zenas C.
|
|
2005
|
|
3 |
p. 263-280
|
artikel
|
| 67 |
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex
|
Beyeler, Michael
|
|
2014
|
|
3 |
p. 435-454
|
artikel
|
| 68 |
Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production
|
Vos, Maarten De
|
|
2010
|
|
3 |
p. 155
|
artikel
|
| 69 |
Event identification in movement recordings by means of qualitative patterns
|
Fimbel, Eric
|
|
2003
|
|
3 |
p. 239-257
|
artikel
|
| 70 |
Extreme Learning Machine Design for Dealing with Unrepresentative Features
|
Nieto, Nicolás
|
|
|
|
3 |
p. 641-650
|
artikel
|
| 71 |
Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate Setting
|
Mohr, Holger
|
|
|
|
3 |
p. 385-392
|
artikel
|
| 72 |
Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)
|
Gupta, Amarnath
|
|
2008
|
|
3 |
p. 205-217
|
artikel
|
| 73 |
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions
|
Hu, Xintao
|
|
2013
|
|
3 |
p. 301-317
|
artikel
|
| 74 |
From DIADEM to BigNeuron
|
Peng, Hanchuan
|
|
2015
|
|
3 |
p. 259-260
|
artikel
|
| 75 |
Funcmasker-flex: An Automated BIDS-App for Brain Segmentation of Human Fetal Functional MRI data
|
Nichols, Emily S.
|
|
|
|
3 |
p. 565-573
|
artikel
|
| 76 |
Functional holography of recorded neuronal networks activity
|
Baruchi, Itay
|
|
2004
|
|
3 |
p. 333-351
|
artikel
|
| 77 |
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors
|
Bernal, Jose
|
|
|
|
3 |
p. 477-492
|
artikel
|
| 78 |
Generating Neuron Geometries for Detailed Three-Dimensional Simulations Using AnaMorph
|
Mörschel, Konstantin
|
|
2017
|
|
3 |
p. 247-269
|
artikel
|
| 79 |
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester
|
Ciceri, Tommaso
|
|
|
|
3 |
p. 549-563
|
artikel
|
| 80 |
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research
|
Milchenko, Mikhail
|
|
2016
|
|
3 |
p. 305-317
|
artikel
|
| 81 |
Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification
|
Chen, Xiaobo
|
|
2017
|
|
3 |
p. 271-284
|
artikel
|
| 82 |
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis
|
Liu, Manhua
|
|
2013
|
|
3 |
p. 381-394
|
artikel
|
| 83 |
Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry
|
Shi, Jie
|
|
2015
|
|
3 |
p. 321-336
|
artikel
|
| 84 |
Improved Automatic Segmentation of White Matter Hyperintensities in MRI Based on Multilevel Lesion Features
|
Rincón, M.
|
|
2017
|
|
3 |
p. 231-245
|
artikel
|
| 85 |
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis
|
Sosulski, Jan
|
|
|
|
3 |
p. 461-476
|
artikel
|
| 86 |
Improving the Execution Performance of FreeSurfer
|
Delgado, J.
|
|
2014
|
|
3 |
p. 413-421
|
artikel
|
| 87 |
Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles
|
Li, Kaiming
|
|
2012
|
|
3 |
p. 225-242
|
artikel
|
| 88 |
Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM
|
Tan, Chenhao
|
|
|
|
3 |
p. 737-753
|
artikel
|
| 89 |
Information-Theoretic Approach for Automated White Matter Fiber Tracts Reconstruction
|
Prados, Ferran
|
|
2012
|
|
3 |
p. 305-318
|
artikel
|
| 90 |
Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke
|
Feng, Xiaobing
|
|
|
|
3 |
p. 575-585
|
artikel
|
| 91 |
Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients
|
Diez, Yago
|
|
2013
|
|
3 |
p. 365-379
|
artikel
|
| 92 |
Issues in the Design of a Pilot Concept-Based Query Interface for the Neuroinformatics Information Framework
|
Marenco, Luis
|
|
2008
|
|
3 |
p. 229-239
|
artikel
|
| 93 |
Learning to predict through adaptation
|
Treves, Alessandro
|
|
2004
|
|
3 |
p. 361-365
|
artikel
|
| 94 |
Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space
|
Sadeghi, Maryam
|
|
|
|
3 |
p. 615-630
|
artikel
|
| 95 |
MANIA—A Pattern Classification Toolbox for Neuroimaging Data
|
Grotegerd, Dominik
|
|
2014
|
|
3 |
p. 471-486
|
artikel
|
| 96 |
Mapping the Human Brain: New Insights from fMRI Data Sharing
|
Horn, John Darrell Van
|
|
2007
|
|
3 |
p. 146-153
|
artikel
|
| 97 |
Methods for quantifying the informational structure of sensory and motor data
|
Lungarella, Max
|
|
2005
|
|
3 |
p. 243-262
|
artikel
|
| 98 |
Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities
|
Irimia, Andrei
|
|
2017
|
|
3 |
p. 227-230
|
artikel
|
| 99 |
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering
|
Tang, Ming
|
|
2018
|
|
3 |
p. 407-421
|
artikel
|
| 100 |
Model-based variational smoothing and segmentation for diffusion tensor imaging in the brain
|
Desai, Mukund
|
|
|
|
3 |
p. 217-233
|
artikel
|
| 101 |
Modelling Cortical Laminar Connectivity in the Macaque Brain
|
Shamir, Ittai
|
|
|
|
3 |
p. 559-573
|
artikel
|
| 102 |
Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals
|
Sirpal, Parikshat
|
|
|
|
3 |
p. 537-558
|
artikel
|
| 103 |
NETMORPH: A Framework for the Stochastic Generation of Large Scale Neuronal Networks With Realistic Neuron Morphologies
|
Koene, Randal A.
|
|
2009
|
|
3 |
p. 195-210
|
artikel
|
| 104 |
Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study
|
Yan, Jianzhuo
|
|
|
|
3 |
p. 701-726
|
artikel
|
| 105 |
Neuroinformatics and the Society for Neuroscience
|
Kennedy, David N.
|
|
2007
|
|
3 |
p. 141-142
|
artikel
|
| 106 |
Neuroinformatics in the Time of Coronavirus
|
Ascoli, Giorgio A.
|
|
|
|
3 |
p. 337-338
|
artikel
|
| 107 |
NeuroMorpho.Org Implementation of Digital Neuroscience: Dense Coverage and Integration with the NIF
|
Halavi, Maryam
|
|
2008
|
|
3 |
p. 241-252
|
artikel
|
| 108 |
NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity
|
Batabyal, Tamal
|
|
|
|
3 |
p. 479-508
|
artikel
|
| 109 |
Neurorobotic models in neuroscience and neuroinformatics
|
Seth, Anil K.
|
|
2005
|
|
3 |
p. 167-170
|
artikel
|
| 110 |
neuroVIISAS: Approaching Multiscale Simulation of the Rat Connectome
|
Schmitt, Oliver
|
|
2012
|
|
3 |
p. 243-267
|
artikel
|
| 111 |
nGauge: Integrated and Extensible Neuron Morphology Analysis in Python
|
Walker, Logan A.
|
|
|
|
3 |
p. 755-764
|
artikel
|
| 112 |
NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data
|
Melbourne, Andrew
|
|
2016
|
|
3 |
p. 319-337
|
artikel
|
| 113 |
Node Accessibility in Cortical Networks During Motor Tasks
|
Chavez, Mario
|
|
2013
|
|
3 |
p. 355-366
|
artikel
|
| 114 |
On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance
|
Gillette, Todd A.
|
|
2009
|
|
3 |
p. 191-194
|
artikel
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