| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 460 | 2019 |
| HER 2 challenge contest: a detailed assessment of automated HER 2 scoring algorithms in whole slide images of breast cancer tissues T Qaiser, A Mukherjee, C Reddy Pb, SD Munugoti, V Tallam, T Pitkäaho, ... Histopathology 72 (2), 227-238, 2018 | 157 | 2018 |
| Automated Diatom Classification (Part B): A Deep Learning Approach A Pedraza, G Bueno, O Deniz, G Cristóbal, S Blanco, M Borrego-Ramos Applied Sciences 7 (5), 460, 2017 | 134 | 2017 |
| Glomerulus Classification and Detection Based on Convolutional Neural Networks J Gallego, A Pedraza, S Lopez, G Steiner, L Gonzalez, A Laurinavicius, ... Journal of Imaging 4 (1), 20, 2018 | 106 | 2018 |
| Glomerulus classification with convolutional neural networks A Pedraza, J Gallego, S Lopez, L Gonzalez, A Laurinavicius, G Bueno Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 81 | 2017 |
| Automated Diatom Classification (Part A): Handcrafted feature approaches G Bueno, O Deniz, A Pedraza, J Ruiz-Santaquiteria, J Salido, G Cristóbal, ... Applied Sciences 7 (8), 753, 2017 | 78 | 2017 |
| A review of image fusion: Methods, applications and performance metrics S Singh, H Singh, G Bueno, O Deniz, S Singh, H Monga, ... Digital Signal Processing 137, 104020, 2023 | 34 | 2023 |
| Robustness to adversarial examples can be improved with overfitting O Deniz, A Pedraza, N Vallez, J Salido, G Bueno International Journal of Machine Learning and Cybernetics 11, 935-944, 2020 | 34 | 2020 |
| Oblique illumination in microscopy: A quantitative evaluation C Sanchez, G Cristóbal, G Bueno, S Blanco, M Borrego-Ramos, A Olenici, ... Micron 105, 47-54, 2018 | 30 | 2018 |
| Lights and pitfalls of convolutional neural networks for diatom identification A Pedraza, G Bueno, O Deniz, J Ruiz-Santaquiteria, C Sanchez, S Blanco, ... Optics, Photonics, and Digital Technologies for Imaging Applications V 10679 …, 2018 | 26 | 2018 |
| On the Relationship between Generalization and Robustness to Adversarial Examples A Pedraza, O Deniz, G Bueno Symmetry 13 (5), 817, 2021 | 15 | 2021 |
| Really natural adversarial examples A Pedraza, O Deniz, G Bueno International Journal of Machine Learning and Cybernetics 13 (4), 1065-1077, 2021 | 12 | 2021 |
| Approaching Adversarial Example Classification with Chaos Theory A Pedraza, O Deniz, G Bueno Entropy 22 (11), 1201, 2020 | 12 | 2020 |
| Parasitic egg detection with a deep learning ensemble J Ruiz-Santaquiteria, A Pedraza, N Vallez, A Velasco 2022 IEEE International Conference on Image Processing (ICIP), 4283-4286, 2022 | 9 | 2022 |
| Parasitic egg detection and classification with transformer-based architectures A Pedraza, J Ruiz-Santaquiteria, O Deniz, G Bueno 2022 IEEE International Conference on Image Processing (ICIP), 4301-4305, 2022 | 7 | 2022 |
| Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy N Altini, M Rossini, S Turkevi-Nagy, F Pesce, P Pontrelli, B Prencipe, ... Computer Methods and Programs in Biomedicine 242, 107814, 2023 | 6 | 2023 |
| Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation J Ruiz-Santaquitaria, A Pedraza, C Sánchez, JA Libreros, J Salido, ... Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019 | 6 | 2019 |
| Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings MV Hernández, V González-Castro Springer, 2017 | 6 | 2017 |
| Deep Neural Networks for HER2 Grading of Whole Slide Images with Subclasses Levels A Pedraza, L Gonzalez, O Deniz, G Bueno Algorithms 17 (3), 97, 2024 | 4 | 2024 |
| Deep Learning within a DICOM WSI Viewer for Histopathology N Vallez, JL Espinosa-Aranda, A Pedraza, O Deniz, G Bueno Applied Sciences 13 (17), 9527, 2023 | 3 | 2023 |
Gloria BuenoUniversidad de Castilla-La ManchaVerified email at uclm.es
