Purpose To present a method that automatically segments and quantifies abnormal CT
patterns commonly present in COVID-19, namely ground-glass opacities and consolidations. …

Prostate-specific membrane antigen (PSMA)–targeting PET imaging is becoming the
reference standard for prostate cancer staging, especially in advanced disease. Yet, the …

Though large-scale datasets are essential for training deep learning systems, it is expensive
to scale up the collection of medical imaging datasets. Synthesizing the objects of interests, …

Purpose To evaluate the performance of an artificial intelligence (AI) based software solution
tested on liver volumetric analyses and to compare the results to the manual contour …

Objectives To investigate machine learning classifiers and interpretable models using chest
CT for detection of COVID-19 and differentiation from other pneumonias, interstitial lung …

Deep learning models have demonstrated remarkable success in multi-organ segmentation
but typically require large-scale datasets with all organs of interest annotated. However, …

Background We describe and evaluate a deep network algorithm which automatically contours
organs at risk in the thorax and pelvis on computed tomography (CT) images for radiation …

The Coronavirus Disease (COVID-19) has affected 1.8 million people and resulted in more
than 110,000 deaths as of April 12, 2020. Several studies have shown that tomographic …

Pnyx is an easy-to-use and entirely web-based tool for preference aggregation that does
not require any prior knowledge about social choice theory. The tool is named after a hill in …

Objectives: To investigate machine-learning classifiers and interpretable models using chest
CT for detection of COVID-19 and differentiation from other pneumonias, ILD and normal …