Cargando…

Automatic identification of scientific publications describing digital reconstructions of neural morphology

Mostrar otras versiones (1)

The increasing number of peer-reviewed publications constitutes a challenge for biocuration. For example, NeuroMorpho.Org, a sharing platform for digital reconstructions of neural morphology, must evaluate more than 6000 potentially relevant articles per year to identify data of interest. Here, we d...

Descripción completa

Detalles Bibliográficos
Autores principales:	Maraver, Patricia, Tecuatl, Carolina, Ascoli, Giorgio A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491540/ https://www.ncbi.nlm.nih.gov/pubmed/37684527 http://dx.doi.org/10.1186/s40708-023-00202-x

Ejemplares similares

Automatic identification of scientific publications describing digital reconstructions of neural morphology
por: Maraver, Patricia, et al.
Publicado: (2023)

An ontology-based search engine for digital reconstructions of neuronal morphology
por: Polavaram, Sridevi, et al.
Publicado: (2017)

PaperBot: open-source web-based search and metadata organization of scientific literature
por: Maraver, Patricia, et al.
Publicado: (2019)

Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
por: Myatt, Darren R., et al.
Publicado: (2012)

Online conversion of reconstructed neural morphologies into standardized SWC format
por: Mehta, Ketan, et al.
Publicado: (2023)

Digital Reconstructions of Neuronal Morphology: Three Decades of Research Trends
por: Halavi, Maryam, et al.
Publicado: (2012)

Statistical analysis and data mining of digital reconstructions of dendritic morphologies
por: Polavaram, Sridevi, et al.
Publicado: (2014)

An open repository for single-cell reconstructions of the brain forest
por: Akram, Masood A., et al.
Publicado: (2018)

An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology
por: Bijari, Kayvan, et al.
Publicado: (2020)

Automatic Reconstruction of Neural Morphologies with Multi-Scale Tracking
por: Choromanska, Anna, et al.
Publicado: (2012)

An ontological approach to describing neurons and their relationships
por: Hamilton, David J., et al.
Publicado: (2012)

An Evaluation of Cellular Neural Networks for the Automatic Identification of Cephalometric Landmarks on Digital Images
por: Leonardi, Rosalia, et al.
Publicado: (2009)

Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org
por: Bijari, Kayvan, et al.
Publicado: (2022)

Cell morphologies in the nervous system: Glia steal the limelight
por: Ascoli, Giorgio A.
Publicado: (2022)

Automatic identification of species with neural networks
por: Hernández-Serna, Andrés, et al.
Publicado: (2014)

Sharing Neuron Data: Carrots, Sticks, and Digital Records
por: Ascoli, Giorgio A.
Publicado: (2015)

Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images
por: Lopez-Garnier, Santiago, et al.
Publicado: (2019)

Automatic lumen segmentation in IVOCT images using binary morphological reconstruction
por: Moraes, Matheus Cardoso, et al.
Publicado: (2013)

A Comparative Computer Simulation of Dendritic Morphology
por: Donohue, Duncan E., et al.
Publicado: (2008)

EXCEPTIONAL COLLOQUIUM : Digital scholarship and the changing nature of scientific publication
por: Dr. Richard Holliman & Prof. Eileen Scanlon (Open University, UK)
Publicado: (2010)

Design and implementation of multi-signal and time-varying neural reconstructions
por: Nanda, Sumit, et al.
Publicado: (2018)

Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
por: Lv, Zhihan, et al.
Publicado: (2023)

SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline
por: Ding, Liya, et al.
Publicado: (2023)

Scientific computing with automatic result verification
por: Adams, Ernst, et al.
Publicado: (1992)

Convolutional Neural Networks for the Automatic Identification of Plant Diseases
por: Boulent, Justine, et al.
Publicado: (2019)

Topological characterization of neuronal arbor morphology via sequence representation: I - motif analysis
por: Gillette, Todd A, et al.
Publicado: (2015)

Semi-automatic Extraction of Functional Dynamic Networks Describing Patient's Epileptic Seizures
por: Frusque, Gaëtan, et al.
Publicado: (2020)

A Neural Mechanism for Background Information-Gated Learning Based on Axonal-Dendritic Overlaps
por: Mainetti, Matteo, et al.
Publicado: (2015)

Potential Synaptic Connectivity of Different Neurons onto Pyramidal Cells in a 3D Reconstruction of the Rat Hippocampus
por: Ropireddy, Deepak, et al.
Publicado: (2011)

Bibliometric analysis of neuroscience publications quantifies the impact of data sharing
por: Emissah, Herve, et al.
Publicado: (2023)

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
por: Hejduk, Patryk, et al.
Publicado: (2023)

Application of Deep Convolutional Neural Network for Automatic Detection of Digital Optical Fiber Repeater
por: Tian, Xingkang, et al.
Publicado: (2022)

Topological characterization of neuronal arbor morphology via sequence representation: II - global alignment
por: Gillette, Todd A, et al.
Publicado: (2015)

Automatic query generation using word embeddings for retrieving passages describing experimental methods
por: Aydın, Ferhat, et al.
Publicado: (2017)

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
por: Norouzzadeh, Mohammad Sadegh, et al.
Publicado: (2018)

Scientific Publications During the COVID-19 Pandemic
por: Sepúlveda-Vildósola, Ana Carolina, et al.
Publicado: (2020)

A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression
por: Ivanisenko, Vladimir A., et al.
Publicado: (2019)

Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning
por: Sun, Jiarui, et al.
Publicado: (2023)

A Visual Metaphor Describing Neural Dynamics in Schizophrenia
por: van Beveren, Nico J. M., et al.
Publicado: (2008)

Differentiable Neural Substrates for Learned and Described Value and Risk
por: FitzGerald, Thomas H.B., et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_mo2dl9uhk6vkn00641cifpesh7