M. López-Pérez

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification

R. Molina, A. Katsaggelos, L. Cooper, 2023, IEEE Access.

Learning from crowds in digital pathology using scalable variational Gaussian processes

R. Molina, A. Katsaggelos, M. Amgad, 2021, Scientific Reports.

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

R. Molina, A. Katsaggelos, Yunan Wu, 2022, Comput. Methods Programs Biomed..

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes

Adrián Colomer, Valery Naranjo, Rafael Molina, 2019, Comput. Methods Programs Biomed..

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students

R. Molina, A. Katsaggelos, L. Cooper, 2023, AIME.

A TV-based image processing framework for blind color deconvolution and classification of histological images

Aggelos K. Katsaggelos, Valery Naranjo, Miguel Vega, 2020, Digit. Signal Process..

Learning from crowds for automated histopathological image segmentation.

A. Katsaggelos, Pablo Morales-Álvarez, M. López-Pérez, 2024, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.

K. Engan, T. Zuiverloon, Umay Kiraz, 2023, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset.

J. Mateos, R. del Amor, L. Terradez, 2023, Artificial intelligence in medicine.

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection

A. Katsaggelos, Yunan Wu, Arne Schmidt, 2023, Expert Systems with Applications.

A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes

Rafael Molina, Luz García, Carmen Benítez, 2021, IEEE Transactions on Geoscience and Remote Sensing.