15 citations · 18 across the 4 of their papers we have counts for
4 papers
Focused Active Learning for Histopathological Image Classification
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper +4
Active Learning (AL) has the potential to solve a major problem of digital pathology: the efficient acquisition of labeled data for machine learning algorithms. However, existing A…
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato +1
In the last years, the weakly supervised paradigm of multiple instance learning (MIL) has become very popular in many different areas. A paradigmatic example is computational patho…
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Medical image segmentation is a challenging task, particularly due to inter- and intra-observer variability, even between medical experts. In this paper, we propose a novel model,…
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Multiple Instance Learning (MIL) is a weakly supervised learning paradigm that is becoming increasingly popular because it requires less labeling effort than fully supervised metho…