469 citations
- Indiana University – Purdue University IndianapolisUS26 papers
- University of ZurichCH5 papers
- German Cancer Research CenterDE4 papers
- Heidelberg UniversityDE4 papers
- Indiana UniversityUS4 papers
- McGill UniversityCA4 papers
- National Cancer InstituteUS4 papers
- University College LondonGB4 papers
- University of PennsylvaniaUS4 papers
- University of TorontoCA4 papers
- Yale UniversityUS4 papers
- Cornell UniversityUS3 papers
31 papers
PsSource: an installable Geant4 extension for transport-coupled positronium annihilation with validated Ore-Powell three-photon physics
Jason G Parker
PsSource is an installable Geant4 extension for configurable positronium-aware terminal positron annihilation. Geant4 transports the positron normally, after which PsSource replace…
Disability, Job Satisfaction, and Workplace Accommodations: Evidence from the Healthcare Industry
Yana Rodgers, Lisa Schur, Flora Hammond +3
Purpose. This paper examines the extent to which job satisfaction, requests for accommodations, and the likelihood of a request being granted vary by disability status. We further…
Work from Home and Job Satisfaction: Differences by Disability Status among Healthcare Workers
Yana Rodgers, Lisa Schur, Flora Hammond +3
Background: Many workers with disabilities face negative stereotypical attitudes, pay gaps, and a lack of respect in the workplace, contributing to substantially lower job satisfac…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
Jingjia Chen, Haoyang Pei, Christoph Maier +6
Purpose: This study aims to improve 0.55T T2-weighted PROPELLER lung MRI through a self-supervised joint reconstruction and denoising model. Methods: T2-weighted 0.55T lung MRI dat…
Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu, Eduardo Pena, Aecio Santos +2
Recent advances in language models opened new opportunities to address complex schema matching tasks. Schema matching approaches have been proposed that demonstrate the usefulness…