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144 results on '"Nils Grosse Hokamp"'

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1. Bone mineral density as a prognostic marker in patients with biliary tract cancer undergoing surgery

2. Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

3. Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers

4. Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network

5. Clinical Low Dose Photon Counting CT for the Detection of Urolithiasis: Evaluation of Image Quality and Radiation Dose

6. Deep-Learning-Based Image Denoising in Imaging of Urolithiasis: Assessment of Image Quality and Comparison to State-of-the-Art Iterative Reconstructions

7. Accuracy and precision of volumetric bone mineral density assessment using dual-source dual-energy versus quantitative CT: a phantom study

8. Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings

9. Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules

10. Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study

11. Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data

12. Spectral Detector CT-Derived Pulmonary Perfusion Maps and Pulmonary Parenchyma Characteristics for the Semiautomated Classification of Pulmonary Hypertension

13. Is there an association between left atrial outpouching structures and recurrence of atrial fibrillation after catheter ablation?

14. Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images

15. MRI DTI and PDFF as Biomarkers for Lower Motor Neuron Degeneration in ALS

16. Technical background of a novel detector-based approach to dual-energy computed tomography

17. Diagnostic value of spectral reconstructions in detecting incidental skeletal muscle metastases in CT staging examinations

18. Coronary artery calcification on low-dose chest CT is an early predictor of severe progression of COVID-19-A multi-center, multi-vendor study.

19. Value of spectral detector computed tomography for the early assessment of technique efficacy after microwave ablation of hepatocellular carcinoma.

20. Dual energy imaging in cardiothoracic pathologies: A primer for radiologists and clinicians

21. Utility of virtual monoenergetic images from spectral detector computed tomography in improving image segmentation for purposes of 3D printing and modeling

22. Dual-Energy CT, Virtual Non-Calcium Bone Marrow Imaging of the Spine: An AI-Assisted, Volumetric Evaluation of a Reference Cohort with 500 CT Scans

23. Evaluation of lung transplant perfusion using iodine maps from novel spectral detector computed tomography

24. Contrast-Enhanced Black Blood MRI Sequence Is Superior to Conventional T1 Sequence in Automated Detection of Brain Metastases by Convolutional Neural Networks

25. Cost-Effectiveness Analysis of 68Ga DOTA-TATE PET/CT, 111In-Pentetreotide SPECT/CT and CT for Diagnostic Workup of Neuroendocrine Tumors

26. Intra-individual comparison between abdominal virtual mono-energetic spectral and conventional images using a novel spectral detector CT.

28. A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers

29. Imaging of the Left Atrial Appendage Before Occluder Device Placement: Evaluation of Virtual Monoenergetic Images in a Single-Bolus Dual-Phase Protocol

30. Virtual versus true non-contrast images of the brain from spectral detector CT: comparison of attenuation values and image quality

31. Two-dimensional CT measurements enable assessment of body composition on head and neck CT

33. 1.5 T MRI with a Dedicated Dental Signal-Amplification Coil as Noninvasive, Radiation-Free Alternative to CBCT in Presurgical Implant Planning Procedures

34. Physiological iodine uptake of the spine’s bone marrow in dual-energy computed tomography - using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals

35. MRI correlates of motoneuron loss in SMA

36. Artificial Intelligence in Ophthalmology - Status Quo and Future Perspectives

37. Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images

38. Is there a diagnosis-specific influence of childhood trauma on later educational attainment? A machine learning analysis in a large help-seeking sample

39. Mechanical Thrombectomy with the Novel NeVa M1 Stent Retriever: Do the Drop Zones Represent a Risk or a Benefit?

40. Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience

41. Inter-scan and inter-scanner variation of quantitative dual-energy CT: evaluation with three different scanner types

42. Virtual Noncontrast Images From Portal Venous Phase Spectral-Detector CT Acquisitions for Adrenal Lesion Characterization

43. Long-Term Follow-Up and Clinical Relevance of Incidental Findings of Fibrin Sheath and Thrombosis on Computed Tomography Scans of Cancer Patients with Port Catheters

44. Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study

45. Quantification of metal artifacts in computed tomography: methodological considerations

46. Evaluation of equivocal small cystic pancreatic lesions with spectral-detector computed tomography

47. MRI Follow‐up of Astrocytoma: Automated Coregistration and Color‐Coding of FLAIR Sequences Improves Diagnostic Accuracy With Comparable Reading Time

48. Iodine accumulation of the liver in patients treated with amiodarone can be unmasked using material decomposition from multiphase spectral-detector CT

49. Virtual monoenergetic images and post-processing algorithms effectively reduce CT artifacts from intracranial aneurysm treatment

50. Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data

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