Jonathan I. Sperl
Forchheim, BY 91301, Germany
Last Updated: 09/26/2026
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Found 35 publications
Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR.
Journal: Diagnostics (Basel, Switzerland)
Published: November 22, 2024
Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT.
Journal: European radiology experimental
Published: October 10, 2024
Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial.
Journal: Scientific reports
Published: September 27, 2024
Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning.
Journal: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Published: December 22, 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms.
Journal: Computers in biology and medicine
Published: June 22, 2023
Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT.
Journal: European journal of radiology
Published: June 03, 2023
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort.
Journal: Frontiers in cardiovascular medicine
Published: June 18, 2022
Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.
Journal: AJR. American journal of roentgenology
Published: June 15, 2022
Automated quantification of airway wall thickness on chest CT using retina U-Nets - Performance evaluation and application to a large cohort of chest CTs of COPD patients.
Journal: European journal of radiology
Published: May 22, 2022
Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study.
Journal: Journal of thoracic imaging
Published: August 13, 2021
Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance.
Journal: Quantitative imaging in medicine and surgery
Published: June 03, 2021
Last Updated: 09/26/2026