Aníbal Pedraza

According to our database, Aníbal Pedraza authored at least 17 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DT4PEIS: detection transformers for parasitic egg instance segmentation.

Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Oscar Déniz, Gloria Bueno

Appl. Intell., February, 2025

2024

Leveraging AutoEncoders and chaos theory to improve adversarial example detection.

Aníbal Pedraza, Oscar Déniz, Harbinder Singh, Gloria Bueno

Neural Comput. Appl., October, 2024

Deep Neural Networks for HER2 Grading of Whole Slide Images with Subclasses Levels.

Aníbal Pedraza, Lucia González, Oscar Déniz, Gloria Bueno

Algorithms, March, 2024

Classification of Glomerulonephritis with CNN and Self-Attention Networks in Individual Glomeruli in Nephropathology.

Gloria Bueno, Aníbal Pedraza, Israel Mateos-Aparicio-Ruiz, Hien Van Nguyen, Nicola Altini, Huy Q. Vo, Dejan Dobi, Jean-Baptiste Gibier, Alessandro Del Gobbo, Lucia González, Loreto Gesualdo, Francesco Pesce, Michele Rossini, Avi Rosenberg, Jan Ulrich Becker

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

A review of image fusion: Methods, applications and performance metrics.

Simrandeep Singh, Harbinder Singh, Gloria Bueno, Oscar Déniz, Sartajvir Singh, Himanshu Monga, P. N. Hrisheekesha, Aníbal Pedraza

Digit. Signal Process., 2023

2022

Really natural adversarial examples.

Aníbal Pedraza, Oscar Déniz-Suárez, Gloria Bueno

Int. J. Mach. Learn. Cybern., 2022

Hyperdeep: Comparison of Ai-Based Methods for Predicting Chemical Components in Hyperspectral Images.

Alberto Velasco-Mata, Noelia Vállez, Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Oscar Déniz, Gloria Bueno

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parasitic Egg Detection with a Deep Learning Ensemble.

Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Noelia Vállez, Alberto Velasco-Mata

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parasitic Egg Detection and Classification with Transformer-Based Architectures.

Aníbal Pedraza, Jesús Ruiz-Santaquiteria, Oscar Déniz, Gloria Bueno

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

On the Relationship between Generalization and Robustness to Adversarial Examples.

Aníbal Pedraza, Oscar Déniz, Gloria Bueno

Symmetry, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

Robustness to adversarial examples can be improved with overfitting.

Oscar Déniz-Suárez, Aníbal Pedraza, Noelia Vállez, Jesús Salido, Gloria Bueno

Int. J. Mach. Learn. Cybern., 2020

Approaching Adversarial Example Classification with Chaos Theory.

Aníbal Pedraza, Oscar Déniz, Gloria Bueno

Entropy, 2020

2019

Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation.

Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Carlos Sánchez, Jose Alejandro Libreros, Jesús Salido, Oscar Déniz, Saúl Blanco, Gabriel Cristóbal, Gloria Bueno

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018

Glomerulus Classification and Detection Based on Convolutional Neural Networks.

Jaime Gallego, Aníbal Pedraza, Samuel Lopez, Georg Steiner, Lucia González, Arvydas Laurinavicius, Gloria Bueno

J. Imaging, 2018

2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.

Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas J. Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot

CoRR, 2017

Glomerulus Classification with Convolutional Neural Networks.

Aníbal Pedraza, Jaime Gallego, Samuel Lopez, Lucia González, Arvydas Laurinavicius, Gloria Bueno

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017