Miguel López-Pérez

17 papers B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Are Generative Models Fair? A Study of Racial Bias in Dermatological Image Generation.
SCIA (2)
Miguel López-Pérez, Søren Hauberg, Aasa Feragen
2025 J jnl
Are generative models fair? A study of racial bias in dermatological image generation.
CoRR
Miguel López-Pérez, Søren Hauberg, Aasa Feragen
2025 J jnl
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content.
CoRR
Miguel López-Pérez, Marco Miani, Valery Naranjo, Søren Hauberg, Aasa Feragen
2024 J jnl
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection.
Expert Syst. Appl.
Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.
Comput. Medical Imaging Graph.
Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C. M. Zuiverloon, Rafael Molina, Kjersti Engan
2024 — conf
Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset.
MICCAI (4)
Natalia P. García-de-la-Puente, Miguel López-Pérez, Laëtitia Launet, Valery Naranjo
2024 J jnl
Learning from crowds for automated histopathological image segmentation.
Comput. Medical Imaging Graph.
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery A. Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina
2024 — conf
Unsupervised Prediction of Blastocyst Development from Oocyte Images.
DSA ISC (2)
Natalia P. García-de-la-Puente, Elena Payá-Bosch, Lucía Murria, Miguel López-Pérez, Marcos Meseguer, Valery Naranjo
2023 J jnl
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset.
Artif. Intell. Medicine
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Terradez, José Aneiros-Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery Naranjo
2023 B conf
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students.
AIME
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.
IEEE Access
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2021 J jnl
A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes.
IEEE Trans. Geosci. Remote. Sens.
Miguel López-Pérez, Luz García, M. Carmen Benítez, Rafael Molina
2020 J jnl
A TV-based image processing framework for blind color deconvolution and classification of histological images.
Digit. Signal Process.
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2019 J jnl
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.
Comput. Methods Programs Biomed.
Ángel E. Esteban, Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
2019 — conf
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor.
IDEAL (1)
Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo