391 results on '"Nakaura T"'
Search Results
2. Utilidad de la línea orbitomeatal superior sin incluir los cristalinos en la exploración con diferentes voltajes del tubo en la TC craneal pediátrica
3. Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible?
4. Influence of contrast enhancement at the contrast injection location for the arm or leg in neonatal and infant patients during cardiac computed tomography
5. Influencia del realce de contraste al inyectar un medio de contraste en el brazo o la pierna en pacientes neonatos y lactantes durante la angiografía por cardiotomografía
6. Radiation dose reduction method combining the ECG-Edit function and high helical pitch in retrospectively-gated CT angiography
7. Effect of injection duration on contrast enhancement during cardiac computed tomography angiography in newborns and infants
8. Enhancement rate of venous phase to portal venous phase computed tomography and its correlation with ultrasound elastography determination of liver fibrosis
9. Efficacy of the spiral flow generating extended tube during paediatric CCTA
10. Virtual magnetic resonance lumbar spine images generated from computed tomography images using conditional generative adversarial networks
11. Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS
12. Diagnostic performance of computed tomography digital subtraction angiography of the lower extremities during haemodialysis in patients with suspected peripheral artery disease
13. Machine learning to identify lymph node metastasis from thyroid cancer in patients undergoing contrast-enhanced CT studies
14. The combined application of the contrast-to-noise index and 80 kVp for cardiac CTA scanning before atrial fibrillation ablation reduces radiation dose exposure
15. Usefulness of the superior orbitomeatal line without the lens included in the scan range at different tube voltage during pediatric head CT
16. Utilidad de la línea orbitomeatal superior sin incluir los cristalinos en la exploración con diferentes voltajes del tubo en la TC craneal pediátrica
17. Corrigendum to “Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS” [Radiography 28 (2022) 61–67]
18. Negative predictive value of multiparametric MRI for prostate cancer detection: Outcome of 5-year follow-up in men with negative findings on initial MRI studies
19. Low-dose abdominal CT protocols with a tube voltage setting of 100 kVp or 80 kVp: Performance of radiation dose reduction and influence on visual contrast
20. Reduction of dental metallic artefacts in CT: Value of a newly developed algorithm for metal artefact reduction (O-MAR)
21. A multiparametric MRI-based machine learning to distinguish between uterine sarcoma and benign leiomyoma: comparison with 18F-FDG PET/CT
22. Dual-layer detector CT of chest, abdomen, and pelvis with a one-third iodine dose: image quality, radiation dose, and optimal monoenergetic settings
23. Low-dose abdominal CT: Comparison of low tube voltage with moderate-level iterative reconstruction and standard tube voltage, low tube current with high-level iterative reconstruction
24. Value of 100 kVp scan with sinogram-affirmed iterative reconstruction algorithm on a single-source CT system during whole-body CT for radiation and contrast medium dose reduction: an intra-individual feasibility study
25. Detection of small pulmonary nodules on chest radiographs: efficacy of dual-energy subtraction technique using flat-panel detector chest radiography
26. Optimal contrast medium injection protocols for the depiction of the Adamkiewicz artery using 64-detector CT angiography
27. Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm
28. EARLY GLOTTIC SQUAMOUS CELL CARCINOMA: Predictive value of MR imaging for the rate of 5-year local control with radiation therapy
29. MR IMAGING OF SQUAMOUS CELL CARCINOMA OF THE FLOOR OF THE MOUTH: Appearance of the sublingual and submandibular glands
30. Chronological evaluation of liver enhancement in patients with chronic liver disease at Gd-EOB-DTPA-enhanced 3-T MR imaging: does liver function correlate with enhancement?
31. Low-dose contrast protocol using the test bolus technique for 64-detector computed tomography coronary angiography.
32. Comparison of standard- and low-tube voltage MDCT angiography in patients with peripheral arterial disease.
33. Combined use of T2-weighted and diffusion-weighted 3-T MR imaging for differentiating uterine sarcomas from benign leiomyomas.
34. Role of diffusion-weighted imaging in the diagnosis of gynecological diseases.
35. Clinical evaluation of aortic diseases using nonenhanced MRA with ECG-triggered 3D half-Fourier FSE.
36. Influencia del realce de contraste al inyectar un medio de contraste en el brazo o la pierna en pacientes neonatos y lactantes durante la angiografía por cardiotomografía
37. A multiparametric MRI-based machine learning to distinguish between uterine sarcoma and benign leiomyoma: comparison with 18F-FDG PET/CT.
38. Clinical Impact of Radiologist's Alert System on Patient Care for High-risk Incidental CT Findings: A Machine Learning-Based Risk Factor Analysis.
39. Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature.
40. Advances in spatial resolution and radiation dose reduction using super-resolution deep learning-based reconstruction for abdominal computed tomography: A phantom study.
41. Using Patient-Specific Contrast Enhancement Optimizer Simulation Software During the Transcatheter Aortic Valve Implantation-Computed Tomography Angiography in Patients With Aortic Stenosis.
42. Recent trends in AI applications for pelvic MRI: a comprehensive review.
43. Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'.
44. Optimizing High-Resolution MR Angiography: The Synergistic Effects of 3D Wheel Sampling and Deep Learning-Based Reconstruction.
45. Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image quality.
46. Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging.
47. Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs.
48. Response to Letter to the Editor from Partha Pratim Ray: 'Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations'.
49. Response to Letter to the Editor from Muhammed Said Beşler et al.: "The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test".
50. Generative AI and large language models in nuclear medicine: current status and future prospects.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.