Ángela Casado

According to our database, Ángela Casado authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Learning Models for Justified Referral in AI Glaucoma Screening.

Ángela Casado-García, Jónathan Heras, Marcos Ortega, Lucía Ramos

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Ángela Casado-García, Jónathan Heras, Roberto Marani, Annalisa Milella

Proceedings of the Advances in Artificial Intelligence, 2024

2023

Estimation of Crop Production by Fusing Images and Crop Features.

Ángela Casado-García, Jónathan Heras, Xabier Simon Martínez-Goñi, Jon Miranda-Apodaca, Usue Pérez-López

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Ángela Casado-García, Estefanía Carlos, César Domínguez, Jónathan Heras, María Izco, Eloy J. Mata, Vico Pascual, Lydia Álvarez-Erviti

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022

Deep Detection Models for Measuring Epidermal Bladder Cells.

Ángela Casado-García, Aitor Agirresarobe, Jon Miranda-Apodaca, Jónathan Heras, Usue Pérez-López

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

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

Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021

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

Ángela Casado-García, Gabriela Chichón, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, María López, Eloy J. Mata, Vico Pascual, Yolanda Sáenz

Comput. Biol. Medicine, 2021

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

Ángela Casado-García, Jónathan Heras

Proceedings of the Advances in Artificial Intelligence, 2021

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

Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata

Proceedings of the Advances in Artificial Intelligence, 2021

2020

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

Ángela Casado-García, Arantza del-Canto, Alvaro Sanz-Sáez, Usue Pérez-López, Amaia Bilbao-Kareaga, Felix B. Fritschi, Jon Miranda-Apodaca, Alberto Muñoz-Rueda, Anna Sillero-Martínez, Ander Yoldi-Achalandabaso, Maite Lacuesta, Jónathan Heras

Comput. Electron. Agric., 2020

Ensemble Methods for Object Detection.

Ángela Casado-García, Jónathan Heras

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images.

Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

2019

CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.

Ángela Casado, César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual

BMC Bioinform., 2019

Google Colaboratory for Quantifying Stomata in Images.

Ángela Casado-García, Jónathan Heras, Alvaro Sanz-Sáez

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018

Guiding the Creation of Deep Learning-based Object Detectors.

Ángela Casado, Jónathan Heras

CoRR, 2018