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2020 – today
- 2024
[c11]Ángela Casado-García
, Jónathan Heras, Roberto Marani, Annalisa Milella:
Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards. CAEPIA 2024: 1-8- [c10]Ángela Casado-García, Jónathan Heras, Marcos Ortega, Lucía Ramos:
Deep Learning Models for Justified Referral in AI Glaucoma Screening. ISBI 2024: 1-3 - 2023
- [c9]Ángela Casado-García, Estefanía Carlos, César Domínguez, Jónathan Heras, María Izco, Eloy J. Mata, Vico Pascual, Lydia Álvarez-Erviti:
MicrogliaJ: An Automatic Tool for Microglial Cell Detection and Segmentation. IbPRIA 2023: 593-602 - [c8]Ángela Casado-García, Jónathan Heras, Xabier Simon Martínez-Goñi, Jon Miranda-Apodaca, Usue Pérez-López:
Estimation of Crop Production by Fusing Images and Crop Features. ICCV (Workshops) 2023: 525-530 - 2022
- [c7]Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata:
Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset. EUROCAST 2022: 444-451 - [c6]Ángela Casado-García, Aitor Agirresarobe, Jon Miranda-Apodaca, Jónathan Heras, Usue Pérez-López:
Deep Detection Models for Measuring Epidermal Bladder Cells. IbPRIA 2022: 131-142 - 2021
- [j3]Ángela Casado-García, Gabriela Chichón, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, María López, Eloy J. Mata, Vico Pascual, Yolanda Sáenz:
MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images. Comput. Biol. Medicine 136: 104673 (2021) - [c5]Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata:
Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning. CAEPIA 2021: 3-13 - [c4]Ángela Casado-García, Jónathan Heras:
LabelDetection: Simplifying the Use and Construction of Deep Detection Models. CAEPIA 2021: 14-22 - 2020
- [j2]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:
LabelStoma: A tool for stomata detection based on the YOLO algorithm. Comput. Electron. Agric. 178: 105751 (2020) - [c3]Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images. DAS 2020: 199-215 - [c2]Ángela Casado-García, Jónathan Heras:
Ensemble Methods for Object Detection. ECAI 2020: 2688-2695
2010 – 2019
- 2019
- [j1]Ángela Casado, César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual:
CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks. BMC Bioinform. 20(1): 323:1-323:14 (2019) - [c1]Ángela Casado-García, Jónathan Heras, Alvaro Sanz-Sáez:
Google Colaboratory for Quantifying Stomata in Images. EUROCAST (2) 2019: 231-238 - [i2]Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images. CoRR abs/1912.05846 (2019) - 2018
- [i1]Ángela Casado, Jónathan Heras:
Guiding the Creation of Deep Learning-based Object Detectors. CoRR abs/1809.03322 (2018)
Coauthor Index
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