ArticleBMC bioinformatics2013
Automated image computing reshapes computational neuroscience.
Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Alpha_Mesh_Swc: automatic and robust surface mesh generation from the skeleton description of brain cells.Briefings in bioinformatics · 2025Article
- Motivation for using data-driven algorithms in research: A review of machine learning solutions for image analysis of micrographs in neuroscience.Journal of neuropathology and experimental neurology · 2023Review
- NRRS: a re-tracing strategy to refine neuron reconstruction.Bioinformatics advances · 2023Article
- Article
- Operations Research Methods for Estimating the Population Size of Neuron Types.Annals of operations research · 2020Article
- Cell numbers, distribution, shape, and regional variation throughout the murine hippocampal formation from the adult brain Allen Reference Atlas.Brain structure & function · 2019Article
- Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction.Neuroinformatics · 2018Article
- TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections.Neuroinformatics · 2016Article
- Neuron anatomy structure reconstruction based on a sliding filter.BMC bioinformatics · 2015Article
- BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies.Neuroinformatics · 2015Article
- Adaptive Image Enhancement for Tracing 3D Morphologies of Neurons and Brain Vasculatures.Neuroinformatics · 2015Article
- Novel image markers for non-small cell lung cancer classification and survival prediction.BMC bioinformatics · 2014Article
- Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns.BMC bioinformatics · 2014Article
- Digital immunohistochemistry wizard: image analysis-assisted stereology tool to produce reference data set for calibration and quality control.Diagnostic pathology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We briefly identify several critical issues in current computational neuroscience, and present our opinions on potential solutions based on bioimage informatics, especially automated image computing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.