Glomerulus Classification with Convolutional Neural Networks. - Aníbal Pedraza; Jaime Gallego; Samuel Lopez; Lucia González; Arvydas Laurinavicius; Gloria Bueno (MIUA, 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 007; et al. (CoRR, 2017)

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)

Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation. - Jesús Ruiz-Santaquiteria; Aníbal Pedraza; Carlos Sánchez 006; Jose Alejandro Libreros; Jesús Salido; Oscar Déniz; Saúl Blanco; Gabriel Cristóbal; Gloria Bueno (IbPRIA (1), 2019)

Approaching Adversarial Example Classification with Chaos Theory. - Aníbal Pedraza; Oscar Déniz; Gloria Bueno (Entropy, 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)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

On the Relationship between Generalization and Robustness to Adversarial Examples. - Aníbal Pedraza; Oscar Déniz; Gloria Bueno (Symmetry, 2021)

Parasitic Egg Detection and Classification with Transformer-Based Architectures. - Aníbal Pedraza; Jesús Ruiz-Santaquiteria; Oscar Déniz; Gloria Bueno (ICIP, 2022)

Parasitic Egg Detection with a Deep Learning Ensemble. - Jesús Ruiz-Santaquiteria; Aníbal Pedraza; Noelia Vállez; Alberto Velasco-Mata (ICIP, 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 (ICIP, 2022)

Really natural adversarial examples. - Aníbal Pedraza; Oscar Déniz-Suárez; Gloria Bueno (Int. J. Mach. Learn. Cybern., 2022)

A review of image fusion: Methods, applications and performance metrics. - Simrandeep Singh; Harbinder Singh 001; Gloria Bueno; Oscar Déniz; Sartajvir Singh; Himanshu Monga; P. N. Hrisheekesha; Aníbal Pedraza (Digit. Signal Process., 2023)

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; et al. (BHI, 2024)

Deep Neural Networks for HER2 Grading of Whole Slide Images with Subclasses Levels. - Aníbal Pedraza; Lucia González; Oscar Déniz; Gloria Bueno (Algorithms, 2024)

Leveraging AutoEncoders and chaos theory to improve adversarial example detection. - Aníbal Pedraza; Oscar Déniz; Harbinder Singh 001; Gloria Bueno (Neural Comput. Appl., 2024)

DT4PEIS: detection transformers for parasitic egg instance segmentation. - Jesús Ruiz-Santaquiteria; Aníbal Pedraza; Oscar Déniz; Gloria Bueno (Appl. Intell., 2025)