Publications (21) Ángela Casado García publications View referenced research data.

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2026

  1. Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images

    Frontiers in Artificial Intelligence, Vol. 9

  2. JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge

    IEEE Transactions on Medical Imaging, Vol. 45, Núm. 1, pp. 320-335

2025

  1. Shifting trait coordination along a soil-moisture-nutrient gradient in tropical forests

    Functional Ecology, Vol. 39, Núm. 1, pp. 21-37

2024

  1. Deep Learning Models for Justified Referral in AI Glaucoma Screening

    Proceedings - International Symposium on Biomedical Imaging

  2. Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Estimation of Crop Production by Fusing Images and Crop Features

    Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023

  2. MicrogliaJ: An Automatic Tool for Microglial Cell Detection and Segmentation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Deep Detection Models for Measuring Epidermal Bladder Cells

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. GitHub y Google Colaboratory para el desarrollo, comunicación y gestión de prácticas en los laboratorios de informática

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 7, pp. 183-190

  3. Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture

    Precision Agriculture, Vol. 23, Núm. 6, pp. 2001-2026

2021

  1. LabelDetection: Simplifying the Use and Construction of Deep Detection Models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images

    Computers in Biology and Medicine, Vol. 136

  3. Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Stomata segmentation using deep learning

    7th workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA) October 11, 2021

2020

  1. Ensemble methods for object detection

    Frontiers in Artificial Intelligence and Applications

  2. Google Colaboratory for Quantifying Stomata in Images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. LabelStoma: A tool for stomata detection based on the YOLO algorithm

    Computers and Electronics in Agriculture, Vol. 178

  4. The benefits of close-domain fine-tuning for table detection in document images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Clodsa: A tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

    BMC Bioinformatics, Vol. 20, Núm. 1