Anibal Pedraza
Citado por
Citado por
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
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
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
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
Glomerulus Classification with Convolutional Neural Networks
A Pedraza, J Gallego, S Lopez, L Gonzalez, A Laurinavicius, G Bueno
Annual Conference on Medical Image Understanding and Analysis, 839-849, 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
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
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
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 (4), 935-944, 2020
Approaching Adversarial Example Classification with Chaos Theory
A Pedraza, O Deniz, G Bueno
Entropy 22 (11), 1201, 2020
Automatic recognition of diatoms and its applications to the study of water quality
AP Dorado
Ph. D. Dissertation in the Universidad de Castilla-La Mancha, 2016
Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation
J Ruiz-Santaquitaria, A Pedraza, C Sánchez, JA Libreros, J Salido, ...
Iberian Conference on Pattern Recognition and Image Analysis, 342-354, 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
On the Relationship between Generalization and Robustness to Adversarial Examples
A Pedraza, O Deniz, G Bueno
Symmetry 13 (5), 817, 2021
Diatom Feature Extraction and Classification
N Vallez, A Pedraza, C Sánchez, J Salido, O Deniz, G Bueno
Modern Trends in Diatom Identification, 151-164, 2020
Automatic recognition of diatoms and its application to the study of water quality.
A Pedraza Dorado
Universidad de Castilla-La Mancha, 2016
Diagnóstico Automático del HER2 con Deep Learning
A Pedraza, I Serrano, MM Fernandez-Carrobles, MG Rojo, L González, ...
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