| NeurotessMesh: a tool for the generation and visualization of neuron meshes and adaptive on-the-fly refinement JJ Garcia-Cantero, JP Brito, S Mata, S Bayona, L Pastor Frontiers in neuroinformatics 11, 38, 2017 | 19 | 2017 |
| NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex. L Pastor, S Mata, P Toharia, SB Beriso, JP Brito, JJ Garcia-Cantero CEIG, 2015 | 8 | 2015 |
| Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience M Abdellah, JJG Cantero, NR Guerrero, A Foni, JS Coggan, C Calì, ... Briefings in bioinformatics 24 (1), bbac491, 2023 | 3 | 2023 |
| A unified framework for neuroscience morphological data visualization L Pastor, S Bayona, JP Brito, M Cuevas, I Fernaud, SE Galindo, ... Applied Sciences 11 (10), 4652, 2021 | 3 | 2021 |
| Meshing of Spiny Neuronal Morphologies using Union Operators M Abdellah, JJ García Cantero, A Foni, N Roman Guerrero, E Boci, ... Computer Graphics and Visual Computing (CGVC), 2022 | 1 | 2022 |
| NeuroEditor: a tool to edit and visualize neuronal morphologies I Velasco, JJ Garcia-Cantero, JP Brito, S Bayona, L Pastor, S Mata Frontiers in Neuroanatomy 18, 1342762, 2024 | | 2024 |
| Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling M Abdellah, A Foni, JJ García Cantero, N Román Guerrero, E Boci, ... bioRxiv, 2024.03. 11.584388, 2024 | | 2024 |
| Técnicas para la visualización y mejora de descripciones morfológicas neuronales JJ García Cantero Universidad Rey Juan Carlos, 2020 | | 2020 |
| Visual exploration and generation of connectivity in neural networks, bridging the gap between empirical data and theoretical model definition. W Klijn, P Tohoria, S Galindo, S Mata, L Pastor, O Robles, J Brito, ... Bernstein Conference 2017, 2017 | | 2017 |
