Search Results for author:
Found 5 papers, 2 papers with code
A High Pressure Time Projection Chamber with Optical Readout
Measurements of proton-nucleus scattering and high resolution neutrino-nucleus interaction imaging are key to reduce neutrino oscillation systematic uncertainties in future experiments.
Instrumentation and Detectors High Energy Physics - Experiment
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
We address this challenge introducing a scalable, fast, and accurate active learning system that accelerates the labeling of CT scan images.
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients
In this work we provide open source models for the segmentation of patterns of pulmonary opacification on chest Computed Tomography (CT) scans which have been correlated with various stages and severities of infection.
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Thus, we propose a consistency-based (CB) loss function that encourages the output predictions to be consistent with spatial transformations of the input images.
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
Automated processing time to compute the severity scores was 10 seconds per case compared to 30 minutes required for manual annotations.
