Publications
Journal Articles
2025
A fusocelular skin dataset with whole slide images for deep learning models
R. del Amor*, M. López-Pérez*, P. Meseguer*, S. Morales, L. Terradez, J. Aneiros-Fernandez, J. Mateos, R. Molina, V. Naranjo
Scientific Data, 2025
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2024
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts
M. López-Pérez (CA), A. Morquecho-Delgado, A. Schmidt, F. Pérez-Bueno, A. Martín-Castro, J. Mateos, R. Molina
Computer Methods and Programs in Biomedicine, 2024
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Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images
N. Kanwal, M. López-Pérez, U. Kiraz, T. C. M. Zuiverloon, R. Molina, K. Engan
Computerized Medical Imaging and Graphics, 2024
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Learning from crowds for automated histopathological image segmentation
M. López-Pérez (CA), P. Morales-Álvarez, L. A. D. Cooper, C. Felicelli, J. Goldstein, B. Vadasz, R. Molina, A. K. Katsaggelos
Computerized Medical Imaging and Graphics, 2024
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An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection
J. Pérez-Cano (CA), Y. Wu, A. Schmidt, M. López-Pérez, P. Morales-Álvarez, R. Molina, A. K. Katsaggelos
Expert Systems with Applications, 2024
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2023
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset
R. del Amor*, J. Pérez-Cano*, M. López-Pérez* (CA), L. Terradez, J. Aneiros-Fernandez, S. Morales, J. Mateos, R. Molina, V. Naranjo
Artificial Intelligence in Medicine, 2023
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Deep Gaussian Processes for classification with multiple noisy annotators. Application to breast cancer tissue classification
M. López-Pérez (CA), P. Morales-Álvarez, L. A. D. Cooper, R. Molina, A. K. Katsaggelos
IEEE Access, 2023
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2022
Deep Gaussian Processes for Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
M. López-Pérez (CA), A. Schmidt, Y. Wu, R. Molina, A. K. Katsaggelos
Computer Methods and Programs in Biomedicine, 2022
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2021
Learning from crowds in digital pathology using scalable variational Gaussian processes
M. López-Pérez, M. Amgad, P. Morales-Álvarez, P. Ruiz, L. A. D. Cooper (CA), R. Molina, A.K. Katsaggelos
Scientific Reports, 2021
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A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes
M. López-Pérez (CA), L. García, C. Benítez, R. Molina
IEEE Transactions on Geoscience and Remote Sensing, 2021
2020
A TV-based image processing framework for blind color deconvolution and classification of histological images
F. Pérez-Bueno (CA), M. López-Pérez, M. Vega, J. Mateos, V. Naranjo, R. Molina, A. K. Katsaggelos
Digital Signal Processing, 2020
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2019
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes
Á. Esteban*, M. López-Pérez (CA)*, A. Colomer, M. A. Sales, R. Molina, V. Naranjo
Computer Methods and Programs in Biomedicine, 2019
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Conference Papers
2025
Are generative models fair? A study of racial bias in dermatological image generation
M. López-Pérez, S. Hauberg, A. Feragen
Scandinavian Conference on Image Analysis (SCIA), 2025
2024
Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset
N. García-de-la-Puente*, M. López-Pérez*, L. Launet, V. Naranjo
27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
Unsupervised Prediction of Blastocyst Development from Oocyte images
N. P. García-de-la-Puente, E. Paya-Bosch, L. Murria, M. López-Pérez, M. Meseguer, V. Naranjo
DSA International Summer Conference, 2024
2023
Crowdsourcing segmentation of histopathological images using annotations provided by medical students
M. López-Pérez, P. Morales-Álvarez, L. AD Cooper, R. Molina, A. K Katsaggelos
International Conference on Artificial Intelligence in Medicine (AIME), 2023
2019
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor
M. López-Pérez, A. Colomer, M. A. Sales, R. Molina, V. Naranjo
International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2019