GelJ–a tool for analyzing DNA fingerprint gel images J Heras, C Domínguez, E Mata, V Pascual, C Lozano, C Torres, ... BMC bioinformatics 16, 1-8, 2015 | 298 | 2015 |
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, ... Computers in Biology and Medicine 136, 104697, 2021 | 150 | 2021 |
Automatic diagnosis of schizophrenia in EEG signals using CNN-LSTM models A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, ... Frontiers in neuroinformatics 15, 777977, 2021 | 120 | 2021 |
Ensemble methods for object detection Á Casado-García, J Heras ECAI 2020, 2688-2695, 2020 | 87 | 2020 |
Spiral and project-based learning with peer assessment in a computer science project management course A Jaime, JM Blanco, C Domínguez, A Sánchez, J Heras, I Usandizaga Journal of Science Education and Technology 25, 439-449, 2016 | 83 | 2016 |
CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks Á Casado-García, C Domínguez, M García-Domínguez, J Heras, A Inés, ... BMC bioinformatics 20, 1-14, 2019 | 79 | 2019 |
Machine learning in proof general: Interfacing interfaces E Komendantskaya, J Heras, G Grov arXiv preprint arXiv:1212.3618, 2012 | 66 | 2012 |
IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine C Domínguez, J Heras, V Pascual Computers in biology and medicine 84, 189-194, 2017 | 55 | 2017 |
Antibiogramj: A tool for analysing images from disk diffusion tests CA Alonso, C Domínguez, J Heras, E Mata, V Pascual, C Torres, ... Computer methods and programs in biomedicine 143, 159-169, 2017 | 53 | 2017 |
Proof-pattern recognition and lemma discovery in ACL2 J Heras, E Komendantskaya, M Johansson, E Maclean Logic for Programming, Artificial Intelligence, and Reasoning: 19th …, 2013 | 53 | 2013 |
Automatic diagnosis of covid-19 from ct images using cyclegan and transfer learning N Ghassemi, A Shoeibi, M Khodatars, J Heras, A Rahimi, A Zare, ... Applied Soft Computing 144, 110511, 2023 | 43 | 2023 |
Biomedical image classification made easier thanks to transfer and semi-supervised learning A Inés, C Domínguez, J Heras, E Mata, V Pascual Computer methods and programs in biomedicine 198, 105782, 2021 | 38 | 2021 |
LabelStoma: A tool for stomata detection based on the YOLO algorithm A Casado-García, A Del-Canto, A Sanz-Saez, U Pérez-López, ... Computers and Electronics in Agriculture 178, 105751, 2020 | 37 | 2020 |
AIROGS: artificial intelligence for robust glaucoma screening challenge C De Vente, KA Vermeer, N Jaccard, H Wang, H Sun, F Khader, D Truhn, ... IEEE transactions on medical imaging, 2023 | 33 | 2023 |
A comparative analysis of the consistency and difference among online self-, peer-, external-and instructor-assessments: The competitive effect C Domínguez, A Jaime, A Sánchez, JM Blanco, J Heras Computers in Human Behavior 60, 112-120, 2016 | 32 | 2016 |
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture A Casado-García, J Heras, A Milella, R Marani Precision Agriculture 23 (6), 2001-2026, 2022 | 27 | 2022 |
Computing persistent homology within Coq/SSReflect J Heras, T Coquand, A Mörtberg, V Siles ACM Transactions on Computational Logic (TOCL) 14 (4), 1-16, 2013 | 27 | 2013 |
A survey of tools for analysing DNA fingerprints J Heras, C Domínguez, E Mata, V Pascual, C Lozano, C Torres, ... Briefings in bioinformatics 17 (6), 903-911, 2016 | 26 | 2016 |
Towards a certified computation of homology groups for digital images J Heras, M Dénès, G Mata, A Mörtberg, M Poza, V Siles Computational Topology in Image Context: 4th International Workshop, CTIC …, 2012 | 26 | 2012 |
The benefits of close-domain fine-tuning for table detection in document images Á Casado-García, C Domínguez, J Heras, E Mata, V Pascual International workshop on document analysis systems, 199-215, 2020 | 25 | 2020 |