Jonas Kroschke
Zurich, ZH 8091, Switzerland
Last Updated: 09/26/2026
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Found 22 publications
Quantifying User Satisfaction: Weighted Metric Approach for Evaluating Deep Learning-Based Thigh MRI Segmentations.
Journal: Diagnostics (Basel, Switzerland)
Published: June 14, 2026
Agreement and workflow efficiency of AI-based coronary artery calcification quantification in lung cancer screening: Comparison with semi-automated and visual assessment.
Journal: European journal of radiology open
Published: May 05, 2026
3D virtual histopathology of human breast tissues using an X-ray grating interferometry micro CT system.
Journal: Experimental and molecular pathology
Published: January 22, 2026
Who labels best? Radiologists, rules, or large language models for CT reports on pulmonary embolism.
Who labels best? Radiologists, rules, or large language models for CT reports on pulmonary embolism.
Journal: European radiology experimental
Published: January 18, 2026
Clinical Relevance and Follow-Up of Incidental CT Imaging Findings for COVID-19 Diagnosis: A Retrospective Analysis.
Journal: Diagnostics (Basel, Switzerland)
Published: September 29, 2025
Novel multi-scan-body cone-beam CT: comparison with photon-counting and energy-integrating CT in an anthropomorphic hand phantom.
Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published: September 16, 2025
Impact of a deep-learning image reconstruction algorithm on ventilation and perfusion parameters derived by phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) in a prospective healthy cohort.
Journal: Clinical radiology
Published: September 09, 2025
Gantry-based cone-beam CT of the thoracolumbar spine: A phantom comparison with Photon-Counting CT and Energy-Integrating CT.
Journal: European journal of radiology
Published: August 27, 2025
Automated lung texture analysis for assessing interstitial lung disease in systemic sclerosis: Diagnostic accuracy in photon-counting-detector and conventional energy-integrating-detector CT.
Journal: European journal of radiology
Published: August 06, 2025
Deep-learning reconstructed 3D MRI for comprehensive knee assessment: Comparison with a multisequence 2D protocol at 1.5 T.
Journal: European journal of radiology
Published: May 06, 2025
Last Updated: 09/26/2026