Javier DeFelipe
Orcid: 0000-0001-5484-0660Affiliations:
- Universidad Politécnica de Madrid
According to our database1,
Javier DeFelipe
authored at least 21 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
A biologically inspired repair mechanism for neuronal reconstructions with a focus on human dendrites.
PLoS Comput. Biol., February, 2024
2021
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information.
Expert Syst. Appl., 2021
2018
3D morphology-based clustering and simulation of human pyramidal cell dendritic spines.
PLoS Comput. Biol., 2018
BMC Bioinform., 2018
2016
A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain.
Neuroinformatics, 2016
Neuroinformatics, 2016
2015
Neuroinformatics, 2015
Classifying GABAergic interneurons with semi-supervised projected model-based clustering.
Artif. Intell. Medicine, 2015
2014
IEEE Trans. Haptics, 2014
Neuroinformatics, 2014
Bayesian network modeling of the consensus between experts: An application to neuron classification.
Int. J. Approx. Reason., 2014
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.
Frontiers Comput. Neurosci., 2014
2013
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images.
Expert Syst. Appl., 2013
Proceedings of the Artificial Intelligence in Medicine, 2013
2012
Three-Dimensional Analysis of Spiny Dendrites Using Straightening and Unrolling Transforms.
Neuroinformatics, 2012
2011
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011
Neuroinformatics, 2011
Int. J. Artif. Intell. Tools, 2011
2010
Computer Assisted Identification, Segmentation and Quantification of Synapses in the Cerebral Cortex.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
2002
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy.
Proceedings of the Artificial Neural Networks, 2002