346 results on '"Kocak, Burak"'
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2. Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution
3. Quality of radiomics research: comprehensive analysis of 1574 unique publications from 89 reviews
4. Spontaneous intracranial hypotension: Exploring the viability of non-contrast FLAIR as a substitute for contrast-enhanced T1WI in assessing pachymeningeal thickening
5. Self-reported checklists and quality scoring tools in radiomics: a meta-research
6. Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools
7. The effect of subthalamic nucleus deep brain stimulation on speech performance: a prospective clinical and tractography study
8. Utility of diffusion tensor imaging and generalized q-sampling imaging for predicting short-term clinical effect of deep brain stimulation in Parkinson’s disease
9. Explanation and Elaboration with Examples for CLEAR (CLEAR-E3): an EuSoMII Radiomics Auditing Group Initiative
10. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
11. Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
12. Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology
13. Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis
14. CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII
15. CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
16. Should Calcineurin Inhibitors/Sirolimus Be Ceased Completely In Posterior Reversible Encephalopathy Syndrome?
17. Publications poorly report the essential RadiOmics ParametERs (PROPER): A meta-research on quality of reporting
18. Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear Medicine
19. Predicting Isocitrate Dehydrogenase Mutation Status of Grade 2–4 Gliomas with Diffusion Tensor Imaging (DTI) Parameters Derived from Model-Based DTI and Model-Free Q-Sampling Imaging Reconstructions
20. Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI
21. REliability of consensus-based segMentatIoN in raDiomic feature reproducibility (REMIND): A word of caution
22. Prediction of compressive strengths of pumice-and diatomite-containing cement mortars with artificial intelligence-based applications
23. NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals
24. MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status
25. Radioproteomics in Breast Cancer: Prediction of Ki-67 Expression With MRI-based Radiomic Models
26. Acromegaly of immature PIT-1 origin
27. PD06-11 ROBOT-ASSISTED KIDNEY TRANSPLANTATION: 8-YEAR EUROPEAN EXPERIENCE
28. The role of anticomplement therapy in the management of the kidney allograft
29. Ventral amygdalofugal pathway as an integrated surgically important network: microsurgical anatomy and segmentation based on fiber dissection
30. Follow-Up and Treatment Changes
31. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas
32. How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts
33. Distinguishing Pituitary Metastasis and Pituitary Neuroendocrine Tumors through Conventional MR Imaging and Clinical Features.
34. Imlifidase in kidney transplantation
35. Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status
36. Influence of segmentation margin on machine learning–based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas
37. Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI
38. Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI
39. Long-term results of flow diversion in the treatment of intracranial aneurysms: a retrospective data analysis of a single center
40. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
41. Evaluation of sporadic intracranial cavernous malformations for detecting associated developmental venous anomalies: added diagnostic value of C-arm contrast-enhanced cone-beam CT to routine contrast-enhanced MRI
42. Artificial intelligence to predict task activation from resting state fMRI
43. Multiple sclerosis versus cerebral small vessel disease in MRI: a practical approach using qualitative and quantitative signal intensity differences in white matter lesions.
44. Intrathecal gadolinium-enhanced MR cisternography in patients with otorhinorrhea: 10-year experience of a tertiary referral center
45. Intrasellar ectopic salivary gland rests related with Rathke's cleft cyst
46. Coexistence of acromegaly and Xanthomatous Hypophysitis
47. Use of Thalamus L-Sign to Differentiate Periventricular Leukomalacia From Neurometabolic Disorders
48. Multiple sclerosis versus cerebral small vessel disease in MRI: a practical approach using qualitative and quantitative signal intensity differences in white matter lesions
49. Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology
50. Practitioners’ Perspectives towards Requirements Engineering: A Survey
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