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ORCIDNeuroinformatics, Volume 17
Volume 17, Number 1, January 2019
- John Darrell Van Horn
:
What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum. 1-3 - Leonardo Agustín Hernández-Pérez, Duniel Delgado-Castillo, Rainer Martín-Pérez, Rubén Orozco-Morales, Juan V. Lorenzo-Ginori:
New Features for Neuron Classification. 5-25 - Stefan Bode, Daniel Feuerriegel, Daniel Bennett, Phillip M. Alday:
The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials. 27-42 - Carlos Platero, Lin Lin, María Carmen Tobar:
Longitudinal Neuroimaging Hippocampal Markers for Diagnosing Alzheimer's Disease. 43-61 - Carl Henning Lubba, Yann Le Guen, Sarah Jarvis, Nick S. Jones, Simon C. Cork, Amir Eftekhar, Simon R. Schultz:
PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. 63-81 - Paul A. Yushkevich, Artem Pashchinskiy, Ipek Oguz, Suyash Mohan, J. Eric Schmitt, Joel M. Stein, Dzenan Zukic, Jared Vicory, Matthew McCormick, Natalie Yushkevich, Nadav Schwartz, Yang Gao, Guido Gerig:
User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. 83-102 - Francisco Javier López-González, José Paredes-Pacheco, Karl Thurnhofer-Hemsi, Carlos Rossi, Manuel Enciso, Daniel Toro-Flores, Belén Murcia-Casas, Antonio L. Gutiérrez-Cardo, Núria Roé-Vellvé:
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis. 103-114 - Ricardo Pizarro, Haz-Edine Assemlal, Dante De Nigris, Colm Elliott, Samson Antel, Douglas L. Arnold, Amir Shmuel:
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases. 115-130 - Kurt G. Schilling, Yurui Gao, Matthew Christian, Vaibhav A. Janve, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson:
A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain. 131-145 - Evelyn Perez Cervantes, Cesar Henrique Comin, Roberto Marcondes Cesar Junior, Luciano da Fontoura Costa:
Morphological Neuron Classification Based on Dendritic Tree Hierarchy. 147-161 - Sebastian Schwanke, Jörg Jenssen, Peter Eipert, Oliver Schmitt:
Towards Differential Connectomics with NeuroVIISAS. 163-179
Volume 17, Number 2, April 2019
- Erik De Schutter:
Fallacies of Mice Experiments. 181-183 - Jian Yang, Ming Hao, Xiaoyang Liu, Zhijiang Wan, Ning Zhong, Hanchuan Peng:
FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree. 185-196 - Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. 197-210 - Michael de Ridder, Karsten Klein, Jean Yee Hwa Yang, Pengyi Yang, Jim Lagopoulos, Ian B. Hickie, Max Bennett, Jinman Kim:
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity. 211-223 - Petr Nejedly, Jan Cimbalnik, Petr Klimes, Filip Plesinger, Josef Halámek, Václav Kremen, Ivo Viscor, Benjamin H. Brinkmann, Martin Pail, Milan Brazdil, Gregory A. Worrell, Pavel Jurák:
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. 225-234 - Andreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann:
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data. 235-251 - Gadea Mata, Miroslav Radojevic, Carlos Fernandez-Lozano, Ihor Smal, Niels Werij, Miguel Morales, Erik Meijering, Julio Rubio:
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning. 253-269 - Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao:
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. 271-294 - Jeffrey M. Moirano, Gleb Y. Bezgin, Elizabeth O. Ahlers, Rolf Kötter, Alexander K. Converse:
Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template. 295-306 - Alexandre Yukio Yamashita, Alexandre Xavier Falcão, Neucimar Jerônimo Leite:
The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease. 307-321
Volume 17, Number 3, July 2019
- Sarah M. Ismail Hosni, Howida A. Shedeed, Mai S. Mabrouk, Mohamed F. Tolba:
EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface. 323-341 - V. Javier Traver, Filiberto Pla, Marta Miquel, Maria Carbo-Gas, Isis Gil-Miravet, Julian Guarque-Chabrera:
Cocaine-Induced Preference Conditioning: a Machine Vision Perspective. 343-359 - Robert A. McDougal, Isha Dalal, Thomas M. Morse, Gordon M. Shepherd:
Automated Metadata Suggestion During Repository Submission. 361-371 - Alexander D. Kyriazis, Shahriar Noroozizadeh, Amir Refaee, Woongcheol Choi, Lap-Tak Chu, Asma Bashir, Wai Hang Cheng, Rachel Zhao, Dhananjay R. Namjoshi, Septimiu E. Salcudean, Cheryl L. Wellington, Guy Nir:
An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging. 373-389 - Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O'Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou:
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. 391-406 - Ming Tang, Chao Gao, Stephen A. Goutman, Alexandr A. Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D. Dinov:
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. 407-421 - Miroslav Radojevic, Erik Meijering:
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation. 423-442 - Salem Hannoun, Rayyan Tutunji, Maria El Homsi, Stephanie Saaybi, Roula Hourani:
Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population. 443-450 - Robert J. Anderson, James J. Cook, Natalie A. Delpratt, John C. Nouls, Bin Gu, James O. McNamara, Brian B. Avants, G. Allan Johnson, Alexandra Badea:
Small Animal Multivariate Brain Analysis (SAMBA) - a High Throughput Pipeline with a Validation Framework. 451-472
Volume 17, Number 4, October 2019
- Giorgio A. Ascoli:
Turning the Tide of Data Sharing. 473-474 - Zhenyu Gao, Alyse M. Thomas, Michael N. Economo, Amada M. Abrego, Karel Svoboda, Chris I. De Zeeuw, Nuo Li:
Response to "Fallacies of Mice Experiments". 475-478 - Paola Galdi, Michele Fratello, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito:
Stochastic Rank Aggregation for the Identification of Functional Neuromarkers. 479-496 - Shiwei Li, Tingwei Quan, Hang Zhou, Fangfang Yin, Anan Li, Ling Fu, Qingming Luo, Hui Gong, Shaoqun Zeng:
Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites. 497-514 - Gang Chen, Yaqiong Xiao, Paul A. Taylor, Justin K. Rajendra, Tracy Riggins, Fengji Geng, Elizabeth Redcay, Robert W. Cox:
Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling. 515-545 - Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Seong-Whan Lee, Shijun Qiu, Dinggang Shen:
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. 547-561 - Dimitrios Ataloglou, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras:
Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning. 563-582 - Natalia Vilor-Tejedor, Mohammad Arfan Ikram, Gennady V. Roshchupkin, Alejandro Cáceres, Silvia Alemany, Meike W. Vernooij, Wiro J. Niessen, Cornelia M. van Duijn, Jordi Sunyer, Hieab H. Adams, Juan R. González:
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics. 583-592 - Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka:
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. 593-609 - Daniel Rasmussen:
NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods. 611-628 - Carl Henning Lubba, Yann Le Guen, Sarah Jarvis, Nick S. Jones, Simon C. Cork, Amir Eftekhar, Simon R. Schultz:
Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. 629
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