870 results on '"Suri, Jasjit S"'
Search Results
2. Neuroimaging evaluations of olfactory, gustatory, and neurological deficits in patients with long-term sequelae of COVID-19
3. Atrial and ventricular strain using cardiovascular magnetic resonance in the prediction of outcomes of pericarditis patients: a pilot study
4. Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach
5. Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
6. Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
7. GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
8. Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
9. Effect of late gadolinium enhancement on left atrial impairment in myocarditis patients
10. Impact of corpus callosum integrity on functional interhemispheric connectivity and cognition in healthy subjects
11. Artificial intelligence bias in medical system designs: a systematic review
12. Correlation of Cognitive Reappraisal and the Microstructural Properties of the Forceps Minor: A Deductive Exploratory Diffusion Tensor Imaging Study
13. MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment
14. Impact of different hormones on the regulation of nitric oxide in diabetes
15. Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
16. Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography
17. Prognostic role of cardiovascular magnetic resonance in Takotsubo syndrome: A systematic review
18. Atherosclerotic carotid artery disease Radiomics: A systematic review with meta-analysis and radiomic quality score assessment
19. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
20. Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque
21. Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework
22. Carotid stenosis and cryptogenic stroke
23. Carotid Plaque-RADS: A Novel Stroke Risk Classification System
24. A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
25. An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
26. Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy
27. The restoring of interhemispheric brain connectivity following carotid endarterectomy: an exploratory observational study
28. Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation
29. Why do guidelines recommend screening for abdominal aortic aneurysms, but not for asymptomatic carotid stenosis? A plea for a randomized controlled trial
30. Sex-based differences in late gadolinium enhancement among patients with acute myocarditis
31. Human activity recognition in artificial intelligence framework: a narrative review
32. The emerging role of atrial strain assessed by cardiac MRI in different cardiovascular settings: an up-to-date review
33. Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization
34. Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
35. NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death
36. International Union of Angiology (IUA) consensus paper on imaging strategies in atherosclerotic carotid artery imaging: From basic strategies to advanced approaches
37. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
38. The mid-term effects of carotid endarterectomy on cognition and regional neural activity analyzed with the amplitude of low frequency fluctuations technique
39. Role of imaging in rare COVID-19 vaccine multiorgan complications
40. Could CMR Tissue-Tracking and Parametric Mapping Distinguish Between Takotsubo Syndrome and Acute Myocarditis? A Pilot Study
41. Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
42. Pericarotid Fat as a Marker of Cerebrovascular Risk.
43. Carotid artery calcium score: Definition, classification, application, and limits.
44. Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.
45. Optimal Management of Asymptomatic Carotid Stenosis in 2021: The Jury is Still Out. An International, Multispecialty, Expert Review and Position Statement
46. Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping
47. Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
48. Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation
49. Complications in COVID-19 patients: Characteristics of pulmonary embolism
50. Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization
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