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1. Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection

3. 3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware

8. Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints

15. Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints

16. sj-docx-1-tab-10.1177_1759720X221116405 – Supplemental material for Successful treatment of severe COVID-19 pneumonia, a case series with simultaneous interleukin-1 and interleukin-6 blockade with 1-month follow-up

20. Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis

22. Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance

26. Influence of interapplicator distance on multibipolar radiofrequency ablation during physiological and interrupted liver perfusion in an in vivo porcine model

30. Detecting radiographic sacroiliitis using deep learning with expert-level accuracy in axial spondyloarthritis

35. Multipolar RFA of the liver: Influence of intrahepatic vessels on ablation zones and appropriateness of CECT in detecting ablation dimensions - Results of an in-vivo porcine liver model

37. Periportal fields cause stronger cooling effects than veins in hepatic microwave ablation: an in vivo porcine study.

38. CT-based quantification of short-term tissue shrinkage following hepatic microwave ablation in an in vivo porcine liver model.

39. Is lung density associated with severity of COVID-19?

41. Comparison of bipolar radiofrequency ablation zones in an in vivo porcine model: Correlation of histology and gross pathological findings

43. Multipolar RFA of the liver: Influence of intrahepatic vessels on ablation zones and appropriateness of CECT in detecting ablation dimensions - Results of an in-vivo porcine liver model.

45. Incidence of combined cranial and cervical spine injuries in patients with blunt minor trauma: are combined CT examinations of the head and cervical spine justified?

46. Comparison of bipolar radiofrequency ablation zones in an in vivo porcine model: Correlation of histology and gross pathological findings.

48. Characterization of benign periablational enhancement following multipolar radiofrequency ablation using perfusion CT in an in-vivoporcine liver model

49. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.

50. Comparison of bipolar radiofrequency ablation zones in an in vivo porcine model: Correlation of histology and gross pathological findings.

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