11 papers
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Yanqing Luo, Julius Hense, Niklas PreniÃl +4
Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that hig…
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models
Euclid Collaboration, M. -A. Breton, P. Fosalba +289
Stage-IV galaxy surveys will provide the opportunity to test cosmological models and the underlying theory of gravity with unparalleled precision. In this context, it is crucial fo…
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
A. Piffer, J. A. Buchner, A. G. Gennari +11
Background Brain tumours are the most common solid malignancies in children, encompassing diverse histological, molecular subtypes and imaging features and outcomes. Paediatric bra…
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13
Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…
Dust scattering halo of 4U 1630-47: High resolution X-ray and mm observations constrain source and molecular cloud distances
E. Kalemci, M. DÃaz Trigo, E. Oztaban +8
We re-investigated the distance to the black hole X-ray binary 4U 1630-47 by analyzing its dust scattering halo (DSH) using high-resolution X-ray (Chandra) and millimeter (APEX) ob…
Early Career Researcher Input to the European Strategy for Particle Physics Update: White Paper
Jan-Hendrik Arling, Alexander Burgman, Christina Dimitriadi +42
This document, written by early career researchers (ECRs) in particle physics, aims to represent the perspectives of the European ECR community and serves as input for the 2025--20…