2 papers
cs.AI2026
Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images
Jakob Wasserthal, Joshy Cyriac, Michael Bach +7
Background: Patient details and acquisition metadata are important for clinical decisions, image quality control, and automated research pipelines, but may be missing or unreliable…
physics.med-ph2021
MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets
Orso Pusterla, Rahel Heule, Francesco Santini +8
Purpose: To introduce a widely applicable workflow for pulmonary lobe segmentation of MR images using a recurrent neural network (RNN) trained with chest computed tomography (CT) d…