Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. - Yunan Wu; Arne Schmidt 005; Enrique Hernández-Sánchez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (2), 2021)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. - Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt 005; Kjersti Engan; Rafael Molina 001 (IEEE Access, 2022)

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. - Arne Schmidt 005; Julio Silva-Rodríguez; Rafael Molina 001; Valery Naranjo (IEEE Access, 2022)

Proportion constrained weakly supervised histopathology image classification. - Julio Silva-Rodríguez; Arne Schmidt 005; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Biol. Medicine, 2022)

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. - Miguel López-Pérez; Arne Schmidt 005; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2022)

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. - Arne Schmidt 005; Pablo Morales-Álvarez; Rafael Molina 001 (ICCV, 2023)

The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Comput. Methods Programs Biomed., 2024)

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. - Jose Pérez-Cano; Yunan Wu; Arne Schmidt 005; Miguel López-Pérez; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (Expert Syst. Appl., 2024)

Focused active learning for histopathological image classification. - Arne Schmidt 005; Pablo Morales-Álvarez; Lee A. D. Cooper; Lee A. Newberg; Andinet Enquobahrie; Rafael Molina 001; Aggelos K. Katsaggelos (Medical Image Anal., 2024)

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. - Pablo Morales-Álvarez; Arne Schmidt 005; José Miguel Hernández-Lobato; Rafael Molina 001 (Pattern Recognit., 2024)

Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. - Arne Schmidt 005; Pablo Morales-Álvarez; Rafael Molina 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

The CrowdGleason dataset: learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Zenodo, 2024)