Miguel López-Pérez

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Gaussian Process

Top Venues

Comput. Methods Programs Biomed.

Comput. Medical Imaging Graph.

Artif. Intell. Medicine

IEEE Trans. Geosci. Remote. Sens.

Publications

Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
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. 240 (2024)
Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C. M. Zuiverloon, Rafael Molina, Kjersti Engan
Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. Comput. Medical Imaging Graph. 112 (2024)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112 (2024)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11 (2023)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME (2023)
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Terradez, José Aneiros-Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery Naranjo
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. Artif. Intell. Medicine 145 (2023)
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. 219 (2022)
Miguel López-Pérez, Luz García, M. Carmen Benítez, Rafael Molina
A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. 59 (5) (2021)
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101 (2020)
Ángel E. Esteban, Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. Comput. Methods Programs Biomed. 178 (2019)
Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. IDEAL (1) (2019)