Results 1 to 10 of about 123,837 (159)

Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX) [PDF]

Data in Brief, 2022
In this data paper, we propose an open dataset (named SROADEX) containing more than 527,000 image tiles of 256 × 256 pixels stored in the lossless PNG format, tagged at pixel level with road information.
Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Alicia González-Jiménez, José-Javier Querol-Pascual   +3 more
doaj   +2 more sources

Preclinical PET imaging in epileptogenesis: towards identification of biomarkers and therapeutic targets [PDF]

EJNMMI Research
Background Epilepsy is a neurological disorder that affects a significant portion of the global population. However, its complexity and the lack of biomarkers hinder the study of its etiology, resulting in a lack of effective treatments to slow down or ...
Nira Hernández-Martín, Ignacio Pozo-Cabanell, Rubén Fernández de la Rosa, Luis García-García, Francisca Gómez-Oliver, Miguel Ángel Pozo, Mirjam Brackhan, Pablo Bascuñana   +7 more
doaj   +2 more sources

¿Cartografía antigua o Cartografía histórica? [PDF]

Estudios Geográficos, 2011
[es] Los términos relacionados con la Historia de la Cartografía necesitan ser revisados, a tenor de las confusiones y ambigüedades que se vienen produciendo.
Antonio Crespo Sanz, Alberto Fernández Wyttenbach   +1 more
doaj   +7 more sources

Inhibition of Astrocyte Reactivity by Mdivi-1 After Status Epilepticus in Rats Exacerbates Microglia-Mediated Neuroinflammation and Impairs Limbic–Cortical Glucose Metabolism [PDF]

Biomolecules
The lithium–pilocarpine rat model of status epilepticus (SE) is a well-established paradigm for studying epileptogenesis. Astrocyte reactivity has been implicated in modulating seizure susceptibility and neuroinflammation, yet its functional role in ...
Francisca Gómez-Oliver, Rubén Fernández de la Rosa, Mirjam Brackhan, Pablo Bascuñana, Miguel Ángel Pozo, Luis García-García   +5 more
doaj   +2 more sources

Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results

International Journal of Applied Earth Observations and Geoinformation, 2023
Having a complete and high-quality geospatial catalogue of existing large-scale photovoltaic (PV) panels is very important nowadays, due to the rapid increase in the use of this type of installations.
Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, José-Juan Arranz-Justel, Izar Sinde-González, Tudor Sălăgean   +4 more
doaj   +1 more source

Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Road Surface Areas

Land, 2021
Remote sensing experts have been actively using deep neural networks to solve extraction tasks in high-resolution aerial imagery by means of supervised semantic segmentation operations.
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Teresa Fernández Pareja, Borja Bordel Sánchez, Francisco Serradilla   +5 more
doaj   +1 more source

AUTOMATIC SEGMENTATION OF POINT CLOUDS IN THE ARCHITECTURE ENVIRONMENT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Correct and reliable identification and classification of different structures and infrastructures that make up a city (e.g. residential buildings, school buildings, hospitals, power stations, routes of communication, etc.) are of great importance for ...
R. Romero-Jarén, J. J. Arranz, L. Navas-Sánchez, E. Erduran, S. Martínez-Cuevas, B. Benito   +5 more
doaj   +1 more source

Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

ISPRS International Journal of Geo-Information, 2022
The road surface area extraction task is generally carried out via semantic segmentation over remotely-sensed imagery. However, this supervised learning task is often costly as it requires remote sensing images labelled at the pixel level, and the ...
Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sanchez   +4 more
doaj   +1 more source

A Single High Dose of Flufenamic Acid in Rats does not Reduce the Damage Associated with the Rat Lithium-Pilocarpine Model of Status Epilepticus but Leads to Deleterious Outcomes

Journal of Integrative Neuroscience, 2023
Background: Epilepsy is one of the most common neurologic diseases, and around 30% of all epilepsies, particularly the temporal lobe epilepsy (TLE), are highly refractory to current pharmacological treatments. Abnormal synchronic neuronal activity, brain
Nira Hernández-Martín, Francisca Gomez, Ágata Silván, Rubén Fernández de la Rosa, Mercedes Delgado, Pablo Bascuñana, Miguel Ángel Pozo, Luis García-García   +7 more
doaj   +1 more source

State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning

Remote Sensing, 2023
Most existing road extraction approaches apply learning models based on semantic segmentation networks and consider reduced study areas, featuring favorable scenarios. In this work, an end-to-end processing strategy to extract the road surface areas from
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Javier González Matesanz   +4 more
doaj   +1 more source