17 results on '"Penzkofer Tobias"'
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2. Prostate-MRI reporting should be done with the aid of AI systems: Pros
3. Prostate MRI: what to consider when shopping for AI tools
4. A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [18F]FDG-PET/CT parameters
5. Non-contrast computed tomography features predict intraventricular hemorrhage growth
6. A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists
7. Correction to: Non-contrast computed tomography features predict intraventricular hemorrhage growth
8. ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging
9. Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI
10. Enhancing the differentiation of pulmonary lymphoma and fungal pneumonia in hematological patients using texture analysis in 3-T MRI
11. Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer
12. Hepatocellular adenomas: is there additional value in using Gd-EOB-enhanced MRI for subtype differentiation?
13. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network
14. Correction to: Hepatocellular adenomas: is there additional value in using Gd-EOB-enhanced MRI for subtype differentiation?
15. Evaluation of prostate MRI: can machine learning provide support where radiologists need it?
16. A direct comparison of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for prostate cancer detection and prediction of aggressiveness
17. A miniature accelerometer-based guidance device for percutaneous computed tomography-guided punctures
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