390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Erasmus MCNL13 papers
- Eindhoven University of TechnologyNL5 papers
- Erasmus University RotterdamNL4 papers
- Amsterdam University Medical CentersNL3 papers
- University Medical Center GroningenNL3 papers
- University of AmsterdamNL3 papers
- Leeds Teaching Hospitals NHS TrustGB2 papers
- Technical University of MunichDE2 papers
- The University of Texas Southwestern Medical CenterUS2 papers
- University of StavangerNO2 papers
- Ain Shams UniversityEG1 paper
- Alberta Machine Intelligence InstituteCA1 paper
4 papers · 1 filter
Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Gonzalo Esteban Mosquera Rojas, Sebastian R. van der Voort, Carolin M. Pirkl +3
Uncertainty Quantification (UQ) is a key requirement for trustworthy AI in high-stakes medical image analysis. In this work, we evaluate UQ in a multi-task Deep Learning framework…
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel +30
Artificial Intelligence (AI) research in breast cancer Magnetic Resonance Imaging (MRI) faces challenges due to limited expert-labeled segmentations. To address this, we present a…
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images
Saul Fuster, Farbod Khoraminia, Julio Silva-Rodríguez +7
We present a pioneering investigation into the application of deep learning techniques to analyze histopathological images for addressing the substantial challenge of automated pro…
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
Neel Kanwal, Trygve Eftestol, Farbod Khoraminia +2
Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Ima…