dblp: Neuroinformatics, Volume 21 (original) (raw)

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Volume 21, Number 1, January 2023

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    John Darrell Van Horn:
    Editorial: What the New White House Rules on Equitable Access Mean for the Neurosciences. 1-4
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    Hongjie Cai, Aojie Li, Guangjun Yu, Xiujun Yang, Manhua Liu:
    Brain Age Prediction in Developing Childhood with Multimodal Magnetic Resonance Images. 5-19
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    Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
    Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge. 21-34
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    Kevin Teh, Paul A. Armitage, Solomon Tesfaye, Dinesh Selvarajah:
    Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study. 35-43
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    Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert:
    Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. 45-55
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    Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka:
    Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks. 57-70
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    Stavros I. Dimitriadis:
    Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher's Choice Paths. 71-88
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    Stephanie O. M. Dyke, Kathleen Connor, Victoria Nembaware, Nchangwi S. Munung, Kathy Reinold, Giselle Kerry, Mamana Mbiyavanga, Lyndon Zass, Mauricio Moldes, Samir Das, John Mike Davis, Jordi Rambla De Argila, J. Dylan Spalding, Alan C. Evans, Nicola J. Mulder, Jason Karamchandani:
    Consent Codes: Maintaining Consent in an Ever-expanding Open Science Ecosystem. 89-100
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    Shailesh Appukuttan, Luca Leonardo Bologna, Felix Schürmann, Michele Migliore, Andrew P. Davison:
    EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience. 101-113
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    Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
    Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. 115-141
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    Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
    Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. 143
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    Alberto Fernández-Pena, Daniel Martín de Blas, Francisco J. Navas-Sanchez, Luis Marcos-Vidal, Pedro M. Gordaliza, Javier Santonja, Joost Janssen, Susanna Carmona, Manuel Desco, Yasser Alemán-Gómez:
    ABLE: Automated Brain Lines Extraction Based on Laplacian Surface Collapse. 145-162
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    Ashlee S. Liao, Wenxin Cui, Yongjie Jessica Zhang, Victoria A. Webster-Wood:
    Semi-Automated Quantitative Evaluation of Neuron Developmental Morphology In Vitro Using the Change-Point Test. 163-176
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    Kiri Choi, Won Kyu Kim, Changbong Hyeon:
    Polymer Physics-Based Classification of Neurons. 177-193
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    Rong Chen:
    Bayesian Coherence Analysis for Microcircuit Structure Learning. 195-204
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    Rong Chen:
    Correction to: Bayesian Coherence Analysis for Microcircuit Structure Learning. 205
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    Claire Guerrier, Tristan Dellazizzo Toth, Nicolas Galtier, Kurt Haas:
    An Algorithm Based on a Cable-Nernst Planck Model Predicting Synaptic Activity throughout the Dendritic Arbor with Micron Specificity. 207-220
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    Freya Acar, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck, Beatrijs Moerkerke:
    Review Paper: Reporting Practices for Task fMRI Studies. 221-242

Volume 21, Number 2, April 2023

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    Cyril R. Pernet, Claus Svarer, Ross Blair, John D. Van Horn, Russell A. Poldrack:
    On the Long-term Archiving of Research Data. 243-246
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    Aybüke Erol, Chagajeg Soloukey, Bastian Generowicz, Nikki van Dorp, Sebastiaan K. E. Koekkoek, Pieter Kruizinga, Borbála Hunyadi:
    Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. 247-265
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    Aybüke Erol, Chagajeg Soloukey, Bastian Generowicz, Nikki van Dorp, Sebastiaan K. E. Koekkoek, Pieter Kruizinga, Borbála Hunyadi:
    Correction to: Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. 267
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    Johanna Perens, Casper Gravesen Salinas, Urmas Roostalu, Jacob Lercke Skytte, Carsten Gundlach, Jacob Hecksher-Sørensen, Anders Bjorholm Dahl, Tim B. Dyrby:
    Multimodal 3D Mouse Brain Atlas Framework with the Skull-Derived Coordinate System. 269-286
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    Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun:
    Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. 287-301
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    Yuhui Du, Yanshu Kong, Xingyu He:
    IABC: A Toolbox for Intelligent Analysis of Brain Connectivity. 303-321
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    Jonathan Dudley, Thomas C. Maloney, John O. Simon, Gowtham Atluri, Sarah L. Karalunas, Mekibib Altaye, Jeffery N. Epstein, Leanne Tamm:
    ABCD_Harmonizer: An Open-source Tool for Mapping and Controlling for Scanner Induced Variance in the Adolescent Brain Cognitive Development Study. 323-337
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    T. Illakiya, R. Karthik:
    Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives. 339-364
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    Tommaso Costa, Donato Liloia, Franco Cauda, Peter T. Fox, Francesca Dalla Mutta, Sergio Duca, Jordi Manuello:
    A Minimum Bayes Factor Based Threshold for Activation Likelihood Estimation. 365-374
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    Tiina Manninen, Jugoslava Acimovic, Marja-Leena Linne:
    Analysis of Network Models with Neuron-Astrocyte Interactions. 375-406
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    Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann:
    Scalable Query Answering Under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. 407-425
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    Nicholas John Simos, Katina Manolitsi, Andrea I. Luppi, Antonios Kagialis, Marios Antonakakis, Michalis E. Zervakis, Despina Antypa, Eleftherios Kavroulakis, Thomas G. Maris, Antonios Vakis, Emmanuel A. Stamatakis, Efrosini Papadaki:
    Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion. 427-442
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    Jodie P. Gray, Jordi Manuello, Aaron Alexander-Bloch, Cassandra Leonardo, Crystal Franklin, Ki Sueng Choi, Franco Cauda, Tommaso Costa, John Blangero, David C. Glahn, Helen S. Mayberg, Peter T. Fox:
    Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects. 443-455
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    Jieqing Jiao, Fiona Heeman, Rachael Dixon, Catriona Wimberley, Isadora Lopes Alves, Juan Domingo Gispert, Adriaan A. Lammertsma, Bart N. M. van Berckel, Casper O. da Costa-Luis, Pawel Markiewicz, David M. Cash, M. Jorge Cardoso, Sébastien Ourselin, Maqsood Yaqub, Frederik Barkhof:
    NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. 457-468

Volume 21, Number 3, July 2023

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    Hila Gast, Assaf Horowitz, Ronnie Krupnik, Daniel Barazany, Shlomi Lifshits, Shani Ben-Amitay, Yaniv Assaf:
    A Method for In-Vivo Mapping of Axonal Diameter Distributions in the Human Brain Using Diffusion-Based Axonal Spectrum Imaging (AxSI). 469-482
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    Laura Keto, Tiina Manninen:
    CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations. 483-500
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    Daniel P. Chapman, Stefano Vicini, Mark P. Burns, Rebekah C. Evans:
    Single Neuron Modeling Identifies Potassium Channel Modulation as Potential Target for Repetitive Head Impacts. 501-516
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    Nayereh Ghazi, Mohammad Hadi Aarabi, Hamid Soltanian-Zadeh:
    Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective. 517-548
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    Tommaso Ciceri, Letizia Squarcina, Alessandro Pigoni, Adele Ferro, Florian Montano, Alessandra Bertoldo, Nicola Persico, Simona Boito, Fabio Maria Triulzi, Giorgio Conte, Paolo Brambilla, Denis Peruzzo:
    Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. 549-563
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    Emily S. Nichols, Susana Correa, Peter Van Dyken, Jason Kai, Tristan Kuehn, Sandrine de Ribaupierre, Emma G. Duerden, Ali R. Khan:
    Funcmasker-flex: An Automated BIDS-App for Brain Segmentation of Human Fetal Functional MRI data. 565-573
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    Tatsuya Uchida, Taichi Kin, Toki Saito, Naoyuki Shono, Satoshi Kiyofuji, Tsukasa Koike, Katsuya Sato, Ryoko Niwa, Ikumi Takashima, Hiroshi Oyama, Nobuhito Saito:
    De-Identification Technique with Facial Deformation in Head CT Images. 575-587
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    Nurfaten Hamzah, Nurul Hashimah Ahamed Hassain Malim, Jafri Malin Abdullah, Putra Sumari, Ariffin Marzuki Mokhtar, Siti Nur Syamila Rosli, Sharifah Aida Shekh Ibrahim, Zamzuri Idris:
    Big Brain Data Initiatives in Universiti Sains Malaysia: Data Stewardship to Data Repository and Data Sharing. 589-600
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    Rosemary He, Daniel Tward:
    Applying Joint Graph Embedding to Study Alzheimer's Neurodegeneration Patterns in Volumetric Data. 601-614
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    Maryam Sadeghi, Arnau Ramos-Prats, Pedro Neto, Federico Castaldi, Devin Crowley, Pawel Matulewicz, Enrica Paradiso, Wolfgang Freysinger, Francesco Ferraguti, Georg Göbel:
    Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space. 615-630
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    Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
    Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). 631

Volume 21, Number 4, October 2023

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    John Darrell Van Horn, Zachary J. Jacokes, Benjamin Newman, Teague Henry:
    Editorial: Is Now the Time for Foundational Theory of Brain Connectivity? 633-635
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    Thomas L. Athey, Matthew A. Wright, Marija Pavlovic, Vikram Chandrashekhar, Karl Deisseroth, Michael I. Miller, Joshua T. Vogelstein:
    BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes. 637-639
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    Zahra Papi, Sina Fathi, Fatemeh Dalvand, Mahsa Vali, Ali Yousefi, Mohammad Hemmatyar Tabatabaei, Alireza Amouheidari, Iraj Abedi:
    Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging. 641-650
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    Oswaldo Artiles, Zeina Al Masry, Fahad Saeed:
    Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data. 651-668
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    Tommaso Ciceri, Letizia Squarcina, Alessandro Pigoni, Adele Ferro, Florian Montano, Alessandra Bertoldo, Nicola Persico, Simona Boito, Fabio Maria Triulzi, Giorgio Conte, Paolo Brambilla, Denis Peruzzo:
    Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. 669

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