BIODIVERSIDAD Y GESTIÓN AMBIENTAL
Departamento
Universidad de Castilla-La Mancha
Ciudad Real, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Castilla-La Mancha (26)
2024
2022
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Diffeomorphic transforms for data augmentation of highly variable shape and texture objects
Computer Methods and Programs in Biomedicine, Vol. 219
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Multi-exposure microscopic image fusion-based detail enhancement algorithm
Ultramicroscopy, Vol. 236
2021
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Author Correction: Drivers of seedling establishment success in dryland restoration efforts (Nature Ecology & Evolution, (2021), 5, 9, (1283-1290), 10.1038/s41559-021-01510-3)
Nature Ecology and Evolution
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Drivers of seedling establishment success in dryland restoration efforts
Nature Ecology and Evolution, Vol. 5, Núm. 9, pp. 1283-1290
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Nonsubsampled contourlet transform based tone-mapping operator to optimize the dynamic range of diatom shells
Microscopy Research and Technique, Vol. 84, Núm. 9, pp. 2034-2045
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Sin título en SCOPUS
Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, Núm. 12
2020
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A low-cost automated digital microscopy platform for automatic identification of diatoms
Applied Sciences (Switzerland), Vol. 10, Núm. 17
2019
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Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Near-ground effect of height on pollen exposure
Environmental Research, Vol. 174, pp. 160-169
2018
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Lights and pitfalls of convolutional neural networks for diatom identification
Proceedings of SPIE - The International Society for Optical Engineering
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Low-cost oblique illumination: An image quality assessment
Journal of Biomedical Optics, Vol. 23, Núm. 1
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Oblique illumination in microscopy: A quantitative evaluation
Micron, Vol. 105, pp. 47-54
2017
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Assessing allergenicity in urban parks: A nature-based solution to reduce the impact on public health
Environmental Research, Vol. 155, pp. 219-227
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Automated diatom classification (Part A): Handcrafted feature approaches
Applied Sciences (Switzerland), Vol. 7, Núm. 8
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Automated diatom classification (Part B): A deep learning approach
Applied Sciences (Switzerland), Vol. 7, Núm. 5
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Changes in the Mediterranean pine forest: pollination patterns and annual trends of airborne pollen
Aerobiologia, Vol. 33, Núm. 3, pp. 375-391
2016
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Airborne pollen trends in the Iberian Peninsula
Science of the Total Environment, Vol. 550, pp. 53-59
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Head morphology of ram spermatozoa is associated with their ability to migrate in vitro and correlates with fertility
Reproduction, Fertility and Development, Vol. 28, Núm. 11, pp. 1825-1837
2015
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A new method for determining the sources of airborne particles
Journal of Environmental Management, Vol. 155, pp. 212-218