https://xrayinterpreter.com/paper/doi/10.1148/ryai.250808
Automated Delineation of Couinaud Segments on CT for Future Liver Remnant Volumetry. | Radiology AI...
Purpose To develop a deep learning model that automatically delineates the eight liver Couinaud segments and the spleen on CT for future liver remnant
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https://boris-portal.unibe.ch/entities/publication/0c4d6b7d-7e77-4152-8d22-e1f31de27055
Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left...
Background: Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a...
image analysismagnetic resonancethe leftatriu
https://pubmed.ncbi.nlm.nih.gov/38649395/
External evaluation of a deep learning-based approach for automated brain volumetry in patients...
A crucial step in the clinical adaptation of an AI-based tool is an external, independent validation. The aim of this study was to investigate brain atrophy in...
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https://www.diagnijmegen.nl/publications/scho13a/
Computer-Aided Segmentation and Volumetry of Artificial Ground-Glass Nodules at Chest CT -...
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https://researcher.manipal.edu/en/publications/cortical-volumetry-using-3d-reconstruction-of-metacarpal-bone-fro/
Cortical volumetry using 3D reconstruction of metacarpal bone from multi-view images - Manipal...
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https://lunovo26.grand-challenge.org/
Info - Lung Nodule Volumetry 2026 Challenge - Grand Challenge
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https://aesnet.org/abstractslisting/avoiding-false-positive-volumetry-correlating-brain-volumes-with-clinical-phenotype-rather-than-seizure-freedom
avoiding false positive volumetry: correlating brain volumes with clinical phenotype rather than...
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