Adrián Inés - RankMe

18 papers Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images. Frontiers Artif. Intell. Josep Vidal-Alaball, Alba Arocas Bonache, Jordi Solé-Casals, Didac Royo Fibla, Francesc Xavier Marin-Gomez, Laura Natalia Distéfano, Anna Boixadera, Ángela Casado-García, Manuel García-Domínguez, Adrián Inés, Jónathan Heras, Miguel Ángel Zapata
2026	J	`jnl`	Semi-seg: Semi-supervised learning framework for image segmentation. Neurocomputing Adrián Inés, Jónathan Heras
2025	J	`jnl`	SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model. CoRR Carlos Garcia-Lopez-de-Haro, Caterina Fuster-Barceló, Curtis T. Rueden, Jónathan Heras, Vladimír Ulman, Daniel Franco-Barranco, Adrián Inés, Kevin W. Eliceiri, Jean-Christophe Olivo-Marin, Jean-Yves Tinevez, Daniel Sage, Arrate Muñoz-Barrutia
2024	J	`jnl`	A topological approach for semi-supervised learning. J. Comput. Sci. Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio
2024	J	`jnl`	Analysing semi-supervised learning for image classification using compact networks in the biomedical context. Soft Comput. Adrián Inés, Andres Diaz-Pinto, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2024	—	`conf`	Semi-supervised Learning Methods for Semantic Segmentation of Polyps. CAEPIA Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2023	J	`jnl`	Semi-Supervised Machine Learning: a Homological Approach. CoRR Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio
2022	J	`jnl`	A Topological Approach for Semi-Supervised Learning. CoRR Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio
2022	—	`conf`	Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset. EUROCAST Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata
2022	J	`jnl`	Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context. CoRR Adrián Inés, Andrés Diaz-Pinto, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2021	J	`jnl`	Biomedical image classification made easier thanks to transfer and semi-supervised learning. Comput. Methods Programs Biomed. Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2021	J	`jnl`	MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images. Comput. Biol. Medicine Ángela Casado-García, Gabriela Chichón, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, María López, Eloy J. Mata, Vico Pascual, Yolanda Sáenz
2021	—	`conf`	Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning. CAEPIA Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata
2019	J	`jnl`	CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks. BMC Bioinform. Ángela Casado, César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual
2019	J	`jnl`	DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification. Comput. Biol. Medicine Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2019	—	`conf`	DeepCompareJ: Comparing Image Classification Models. EUROCAST (2) Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2018	—	`conf`	Towards Integrating ImageJ with Deep Biomedical Models. DCAI (Special Sessions) Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual
2017	—	`conf`	DetectionEvaluationJ: A Tool to Evaluate Object Detection Algorithms. EUROCAST (2) César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual