Kai Schlamp

Heidelberg, BW, Germany

Last Updated: 09/26/2026

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Found 29 publications

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

How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows.

How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows.

Journal: Insights into imaging

Published: December 02, 2025

Clinical implications of a novel SERPINA1 variant c.236 T > A: Challenges in characterizing new rare alpha-1 antitrypsin mutations.

Clinical implications of a novel SERPINA1 variant c.236 T > A: Challenges in characterizing new rare alpha-1 antitrypsin mutations.

Journal: Molecular genetics and metabolism reports

Published: October 26, 2025

e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases.

e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases.

Journal: ERJ open research

Published: August 07, 2025

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Response.

Journal: Chest

Published: July 10, 2025

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Journal: Investigative radiology

Published: December 17, 2024

Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions.

Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: December 11, 2024

Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.

Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.

Journal: Investigative radiology

Published: October 14, 2024

Pulmonary arteriovenous malformation causing lung sequestration and media infarction: a case report.

Pulmonary arteriovenous malformation causing lung sequestration and media infarction: a case report.

Journal: Frontiers in medicine

Published: September 03, 2024

Lessons Learned: Risk Factors and Clinical Impact of Severe Pneumothorax After Endoscopic Lung Volume Reduction With Endobronchial Valves.

Lessons Learned: Risk Factors and Clinical Impact of Severe Pneumothorax After Endoscopic Lung Volume Reduction With Endobronchial Valves.

Journal: Chest

Published: June 14, 2024

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

Journal: European radiology

Published: May 29, 2024

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: May 08, 2024

Showing 1-12 of 29

Last Updated: 09/26/2026