390 citations
- University of AmsterdamNL17 papers
- Instituto de Astrofísica de CanariasES6 papers
- Universidad de La LagunaES6 papers
- Heidelberg UniversityDE5 papers
- Johns Hopkins UniversityUS5 papers
- KU LeuvenBE5 papers
- Utrecht UniversityNL5 papers
- Oncode InstituteNL4 papers
- Radboud University NijmegenNL4 papers
- Space Research Organisation NetherlandsNL4 papers
- Space Telescope Science InstituteUS4 papers
- University of BonnDE4 papers
31 papers
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
José Teixeira, Pascal Klöckner, Diana Montezuma +5
In addition to evaluating tumor morphology using H&E staining, immunohistochemistry is used to assess the presence of specific proteins within the tissue. However, this is a costly…
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides
Carlijn Lems, Leslie Tessier, John-Melle Bokhorst +18
Automated semantic segmentation of whole-slide images (WSIs) stained with hematoxylin and eosin (H&E) is essential for large-scale artificial intelligence-based biomarker analysis…
GANs vs. Diffusion Models for virtual staining with the HER2match dataset
Pascal Klöckner, José Teixeira, Diana Montezuma +3
Virtual staining is a promising technique that uses deep generative models to recreate histological stains, providing a faster and more cost-effective alternative to traditional ti…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
Melda Yeghaian, Zuhir Bodalal, Daan van den Broek +4
Purpose: Immunotherapies have revolutionized the landscape of cancer treatments. However, our understanding of response patterns in advanced cancers treated with immunotherapy rema…
Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda +3
Prognosis after intracranial hemorrhage (ICH) is influenced by a complex interplay between imaging and tabular data. Rapid and reliable prognosis are crucial for effective patient…