325 results on '"Mannil, Manoj"'
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2. Case-Based Collaborative Learning in Undergraduate Radiology Teaching—Are Essential Conditions for Group Discussions Met?
3. Clinical applicability of signal heterogeneity and tumor border assessment on T2-weighted MR images to distinguish astrocytic from oligodendroglial origin of gliomas
4. A magnetic resonance imaging based radiomics model to predict mitosis cycles in intracranial meningioma
5. Prognosis and histology of sporadic synchronous and metachronous meningiomas and comparative analyses with singular lesions
6. Iatrogenic lumbosacral infiltration with petroleum (hydrodesulfurized heavy) with secondary intrathecal distribution—a case report
7. Predicting Meningioma Resection Status: Use of Deep Learning
8. Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging
9. Prediction of Seropositivity in Suspected Autoimmune Encephalitis by Use of Radiomics: A Radiological Proof-of-Concept Study
10. Basics of Computed Tomography
11. Artificial Intelligence and Radiomics: Outlook into the Future
12. Radiomics for pseudoprogression prediction in high grade gliomas: added value of MR contrast agent
13. Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology
14. Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning
15. Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics
16. Chronischer brachioradialer Pruritus bei spinalem Meningeom
17. Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis
18. Comparison of MRI Sequences to Predict IDH Mutation Status in Gliomas Using Radiomics-Based Machine Learning
19. Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging
20. Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study
21. Single shot zonal oblique multislice SE-EPI diffusion-weighted imaging with low to ultra-high b-values for the differentiation of benign and malignant vertebral spinal fractures
22. MRI-Based Radiomics as a Promising Noninvasive Diagnostic Technique for Adenomyosis.
23. Evolution of Radiation Dose from Cardiac CT
24. Noninvasive Coronary Artery Imaging
25. The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study
26. Apparent Diffusion Coefficient Metrics to Differentiate between Treatment-Related Abnormalities and Tumor Progression in Post-Treatment Glioblastoma Patients: A Retrospective Study
27. Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
28. Three-Dimensional Texture Analysis with Machine Learning Provides Incremental Predictive Information for Successful Shock Wave Lithotripsy in Patients with Kidney Stones
29. Radiomics-Based Prediction of TERT Promotor Mutations in Intracranial High-Grade Meningiomas
30. Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning
31. Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach
32. 3D fusion of coronary CT angiography and CT myocardial perfusion imaging: Intuitive assessment of morphology and function
33. Comparison of MRI Sequences to Predict ATRX Status Using Radiomics-Based Machine Learning
34. Spiral 3-Dimensional T1-Weighted Turbo Field Echo: Increased Speed for Magnetization-Prepared Gradient Echo Brain Magnetic Resonance Imaging
35. The motor system is exceptionally vulnerable to absence of the ubiquitously expressed superoxide dismutase-1
36. Apparent Diffusion Coefficient Metrics to Differentiate between Treatment-Related Abnormalities and Tumor Progression in Post-Treatment Glioblastoma Patients: A Retrospective Study
37. Artificial Intelligence and Texture Analysis in Cardiac Imaging
38. Texture analysis of paraspinal musculature in MRI of the lumbar spine: analysis of the lumbar stenosis outcome study (LSOS) data
39. Prediction of successful shock wave lithotripsy with CT: a phantom study using texture analysis
40. Normative values for CT-based texture analysis of vertebral bodies in dual X-ray absorptiometry-confirmed, normally mineralized subjects
41. The motor system is exceptionally vulnerable to absence of the ubiquitously expressed superoxide dismutase-1
42. Protoporphyrin IX (PpIX) Fluorescence during Meningioma Surgery: Correlations with Histological Findings and Expression of Heme Pathway Molecules
43. The prognostic impact of preoperative [18F] FET PET after resection of diffuse lower grade gliomas
44. Quantitative CT texture analysis for diagnosing systemic sclerosis: Effect of iterative reconstructions and radiation doses
45. In vitro qualitative and quantitative CT assessment of iodinated aerosol nasal deposition using a 3D-printed nasal replica
46. Use Test of Automated Machine Learning in Cancer Diagnostics.
47. Predicting Meningioma Resection Status: Use of Deep Learning
48. Selected items from the Charcot-Marie-Tooth (CMT) Neuropathy Score and secondary clinical outcome measures serve as sensitive clinical markers of disease severity in CMT1A patients
49. Photon Counting Computed Tomography With Dedicated Sharp Convolution Kernels: Tapping the Potential of a New Technology for Stent Imaging
50. Photon-Counting CT: High-Resolution Imaging of Coronary Stents
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