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Publication search results
found 41 matches
- 2019
- 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. Neuroinformatics 17(3): 451-472 (2019) - Giorgio A. Ascoli:
Turning the Tide of Data Sharing. Neuroinformatics 17(4): 473-474 (2019) - Dimitrios Ataloglou, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras:
Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning. Neuroinformatics 17(4): 563-582 (2019) - Stefan Bode, Daniel Feuerriegel, Daniel Bennett, Phillip M. Alday:
The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials. Neuroinformatics 17(1): 27-42 (2019) - Evelyn Perez Cervantes, Cesar Henrique Comin, Roberto Marcondes Cesar Junior, Luciano da Fontoura Costa:
Morphological Neuron Classification Based on Dendritic Tree Hierarchy. Neuroinformatics 17(1): 147-161 (2019) - 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. Neuroinformatics 17(4): 515-545 (2019) - Paola Galdi, Michele Fratello, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito:
Stochastic Rank Aggregation for the Identification of Functional Neuromarkers. Neuroinformatics 17(4): 479-496 (2019) - 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". Neuroinformatics 17(4): 475-478 (2019) - Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka:
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics 17(4): 593-609 (2019) - 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. Neuroinformatics 17(3): 443-450 (2019) - Leonardo Agustín Hernández-Pérez, Duniel Delgado-Castillo, Rainer Martín-Pérez, Rubén Orozco-Morales, Juan V. Lorenzo-Ginori:
New Features for Neuron Classification. Neuroinformatics 17(1): 5-25 (2019) - John Darrell Van Horn:
What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum. Neuroinformatics 17(1): 1-3 (2019) - Sarah M. Ismail Hosni, Howida A. Shedeed, Mai S. Mabrouk, Mohamed F. Tolba:
EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface. Neuroinformatics 17(3): 323-341 (2019) - 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. Neuroinformatics 17(3): 373-389 (2019) - 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. Neuroinformatics 17(4): 497-514 (2019) - 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. Neuroinformatics 17(2): 271-294 (2019) - 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. Neuroinformatics 17(1): 103-114 (2019) - 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. Neuroinformatics 17(1): 63-81 (2019) - 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. Neuroinformatics 17(4): 629 (2019) - 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. Neuroinformatics 17(2): 253-269 (2019) - Robert A. McDougal, Isha Dalal, Thomas M. Morse, Gordon M. Shepherd:
Automated Metadata Suggestion During Repository Submission. Neuroinformatics 17(3): 361-371 (2019) - 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. Neuroinformatics 17(2): 235-251 (2019) - Jeffrey M. Moirano, Gleb Y. Bezgin, Elizabeth O. Ahlers, Rolf Kötter, Alexander K. Converse:
Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template. Neuroinformatics 17(2): 295-306 (2019) - 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. Neuroinformatics 17(2): 225-234 (2019) - 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. Neuroinformatics 17(1): 115-130 (2019) - Carlos Platero, Lin Lin, María Carmen Tobar:
Longitudinal Neuroimaging Hippocampal Markers for Diagnosing Alzheimer's Disease. Neuroinformatics 17(1): 43-61 (2019) - Miroslav Radojevic, Erik Meijering:
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation. Neuroinformatics 17(3): 423-442 (2019) - Daniel Rasmussen:
NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods. Neuroinformatics 17(4): 611-628 (2019) - 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. Neuroinformatics 17(2): 211-223 (2019) - 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. Neuroinformatics 17(1): 131-145 (2019)
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