146 citations
- Northwestern UniversityUS20 papers
- Northern Illinois UniversityUS5 papers
- Argonne National LaboratoryUS3 papers
- California Institute of TechnologyUS3 papers
- Edward Hines, Jr. VA HospitalUS3 papers
- Johns Hopkins UniversityUS3 papers
- Loyola University ChicagoUS3 papers
- National Cancer InstituteUS3 papers
- ProtonVDA (United States)US3 papers
- University College LondonGB3 papers
- University of California San DiegoUS3 papers
- BioLegend (United States)US2 papers
33 papers
Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis
Alec K. Peltekian, Karolina Senkow, Gorkem Durak +23
Interstitial lung disease (ILD) is a leading cause of morbidity and mortality in systemic sclerosis (SSc). Chest computed tomography (CT) is the primary imaging modality for diagno…
Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
Cristian Castrejon, Anya E. Nugent, Wen-fai Fong +3
We present a comprehensive compilation of short-duration gamma-ray burst (GRB) afterglows in the X-ray, optical, and radio bands, comprising 150 events discovered primarily by the…
The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology
Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian +12
Foundation models have recently emerged as powerful feature extractors in computational pathology, yet they typically omit mechanisms for leveraging the global spatial structure of…
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Kang Wang, Chen Qin, Zhang Shi +46
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on…
Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI
Mehri Mehrnia, Mohammed S. M. Elbaz
Efficient entanglement strategies are essential for advancing variational quantum circuits (VQCs) for quantum machine learning (QML). However, most current approaches use fixed ent…
Curated loci prime editing (cliPE) for accessible multiplexed assays of variant effect (MAVEs)
Carina G Biar, Nicholas Bodkin, Gemma L Carvill +1
Multiplexed assays of variant effect (MAVEs) perform simultaneous characterization of many variants. Prime editing has been recently adopted for introducing many variants in their…