1.5k citations · 1.7k across the 3 of their papers we have counts for
3 papers
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer +9
We present a deep learning segmentation model that can automatically and robustly segment all major anatomical structures in body CT images. In this retrospective study, 1204 CT ex…
Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort
Eduardo Jose Mortani Barbosa, Bogdan Georgescu, Shikha Chaganti +15
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…
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
Shikha Chaganti, Abishek Balachandran, Guillaume Chabin +17
Purpose: To present a method that automatically segments and quantifies abnormal CT patterns commonly present in coronavirus disease 2019 (COVID-19), namely ground glass opacities…