| Nome |
# |
|
Molecular pathways triggered by COVID-19 in different organs: ACE2 receptor-expressing cells under attack? A review, file e2f56ed9-7f13-3eaf-e053-3a05fe0a5d97
|
203
|
|
Insight from imaging on plaque vulnerability: similarities and differences between coronary and carotid arteries—implications for systemic therapies, file e2f56ed9-50c3-3eaf-e053-3a05fe0a5d97
|
141
|
|
Carotid Plaque-RADS: a novel stroke risk classification system, file f54b1389-7ab4-4692-af96-2db3523180ae
|
135
|
|
Review of imaging biomarkers for the vulnerable carotid plaque, file e2f56eda-720a-3eaf-e053-3a05fe0a5d97
|
79
|
|
The human carotid atherosclerotic plaque: an observational review of histological scoring systems, file 9a0ee8ac-9fa3-4c77-affc-b63d621fede5
|
45
|
|
Dual-Source Photon-Counting Computed Tomography-Part I: Clinical Overview of Cardiac CT and Coronary CT Angiography Applications, file 9addaecd-4b8f-4fef-92ca-e9b5c087b05b
|
38
|
|
Combined microwave ablation and osteosynthesis for long bone metastases, file e2f56eda-80b6-3eaf-e053-3a05fe0a5d97
|
38
|
|
Impact of corpus callosum integrity on functional interhemispheric connectivity and cognition in healthy subjects, file 2e1ffcad-51e3-4bbd-8c5f-1429d79e0630
|
36
|
|
Dual Source Photon-Counting Computed Tomography-Part II: Clinical Overview of Neurovascular Applications, file 65ac9382-7196-4a91-8047-b6885e3518b3
|
36
|
|
Application of AI in cardiovascular multimodality imaging, file fa2ee853-2207-441e-8d56-9d1215de4d65
|
30
|
|
Dual-Source Photon-Counting Computed Tomography-Part III: Clinical Overview of Vascular Applications beyond Cardiac and Neuro Imaging, file 316d6d30-68b1-4f2f-a94e-227b462342ee
|
24
|
|
Multimodality Imaging in Ischemic Chronic Cardiomyopathy, file 901559e6-0845-4a87-8356-971e9d23f5e1
|
23
|
|
Multimodality Imaging of Sudden Cardiac Death and Acute Complications in Acute Coronary Syndrome, file 83fdffff-77dd-473f-88cf-b12664ac76b6
|
16
|
|
Atrial Strain by Feature-Tracking Cardiac Magnetic Resonance Imaging in Takotsubo Cardiomyopathy. Features, Feasibility, and Reproducibility, file e2f56eda-725f-3eaf-e053-3a05fe0a5d97
|
14
|
|
Plasma cells in the carotid plaque: occurrence and significance, file e2f56eda-0542-3eaf-e053-3a05fe0a5d97
|
12
|
|
Carotid Artery Plaque Calcifications: Lessons From Histopathology to Diagnostic Imaging, file e2f56eda-83d8-3eaf-e053-3a05fe0a5d97
|
12
|
|
Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach, file 71a24aac-d54c-4729-b97c-60264e45208b
|
11
|
|
Atrial Impairment as a Marker in Discriminating Between Takotsubo and Acute Myocarditis Using Cardiac Magnetic Resonance, file d759b363-4ffc-4553-a9e7-63725e32e60f
|
9
|
|
Impact of corpus callosum integrity on functional interhemispheric connectivity and cognition in healthy subjects, file 74be4ceb-594e-46de-b9c8-e0ca0acbb266
|
8
|
|
Short term outcome of myocarditis and pericarditis following COVID-19 vaccines: a cardiac magnetic resonance imaging study, file 91a7a6c2-7e0d-4058-b40e-73a52ab5b143
|
8
|
|
Effect of late gadolinium enhancement on left atrial impairment in myocarditis patients, file d6288dde-c50d-415f-ab92-ce2f9bd6b8c1
|
8
|
|
The mid-term effects of carotid endarterectomy on cognition and regional neural activity analyzed with the amplitude of low frequency fluctuations technique, file e2f56eda-46ce-3eaf-e053-3a05fe0a5d97
|
8
|
|
Artificial Intelligence Applications in Cardiovascular Magnetic Resonance Imaging: Are We on the Path to Avoiding the Administration of Contrast Media?, file 13c1e652-68c3-41e9-bab3-35ffd9cf94bf
|
7
|
|
Correlation of Cognitive Reappraisal and the Microstructural Properties of the Forceps Minor: A Deductive Exploratory Diffusion Tensor Imaging Study, file af111868-c7ee-499c-950e-b058a72e69d0
|
7
|
|
Pulmonary transit time as a marker of diastolic dysfunction in Takotsubo syndrome, file e5664956-d9de-40e1-ae60-0eaf55860940
|
7
|
|
Base-to-apex Gradient Pattern Assessed by Cardiovascular Magnetic Resonance in Takotsubo Cardiomyopathy, file 7a315fa0-bbb5-4d57-b669-81cb075df13d
|
6
|
|
Role of imaging in rare COVID-19 vaccine multiorgan complications, file c449716c-61a9-47d2-9124-b2da4f8f6144
|
6
|
|
Scanning electron microscopy of lung disease due to COVID-19 – a case report and a review of the literature, file e2f56eda-75d3-3eaf-e053-3a05fe0a5d97
|
6
|
|
Value of a short non-contrast CMR protocol in MINOCA, file 5737e0e5-ce3c-4588-8db7-e7aaf328d853
|
5
|
|
International Union of Angiology (IUA) consensus paper on imaging strategies in atherosclerotic carotid artery imaging: From basic strategies to advanced approaches, file 68f36483-2df2-4d53-8070-4ebdd360494c
|
5
|
|
Mid-term effects of carotid endarterectomy on cognition and white matter status evaluated by whole brain diffusion tensor imaging metrics: A preliminary analysis, file 6d2bf9e7-2393-4e78-9cd3-b7f6d229b055
|
5
|
|
Applications of artificial intelligence-based models in vulnerable carotid plaque, file 73d575ab-8a5e-47e8-91fc-09a7188aac41
|
5
|
|
Reply to “Structural And/Or Functional Underpinnings of Magnetic Resonance Imaging Bi-Atrial Strain Impairment in Patients With Takotsubo Syndrome”, file a13a4368-5694-45ee-8708-50161cef1897
|
5
|
|
Could CMR Tissue-Tracking and Parametric Mapping Distinguish Between Takotsubo Syndrome and Acute Myocarditis? A Pilot Study, file e1d3ab37-7f37-4f36-ad54-61b6143071b6
|
5
|
|
null, file 115bf746-6ec6-4c7b-b3d3-e39328ffb8f5
|
4
|
|
Base-to-apex Gradient Pattern Assessed by Cardiovascular Magnetic Resonance in Takotsubo Cardiomyopathy, file 2370935e-015d-4e65-b775-f270956f5acd
|
4
|
|
Left atrial strain in patients with β-thalassemia major: a cross-sectional CMR study, file 48c50cd5-b828-4bc0-be44-5cadecc2d6c7
|
4
|
|
Role of cardiac MRI in the diagnosis of immune checkpoint inhibitor-associated myocarditis, file 4bab5ddf-1142-4d22-838b-f176baaaa85d
|
4
|
|
Impact Analysis of Different CT Configurations of Carotid Artery Plaque Calcifications on Cerebrovascular Events, file 6528230e-b4a5-4f95-92f7-e0954f0b718d
|
4
|
|
Carotid Stenosis and Cryptogenic Stroke: The Evidence from the Imaging-based Studies Carotid stenosis and Cryptogenic Stroke, file 65a992bb-b195-47bb-9f5c-4881bb6cd66a
|
4
|
|
Non-invasive coronary imaging in patients with COVID-19: A narrative review, file 6834f43a-f193-4c3a-b26f-fc1bd9f5a2e7
|
4
|
|
Multimodality imaging in acute myocarditis, file 7853d22a-d51e-4952-8d82-7db677fb2755
|
4
|
|
Spectral Photon-Counting Computed Tomography: Technical Principles and Applications in the Assessment of Cardiovascular Diseases, file 7a78a64e-43f6-4d83-8aeb-7ee8291dc66b
|
4
|
|
Left atrial appendage strain and strain rate using cardiovascular magnetic resonance feature tracking: preliminary study on feasibility and reproducibility, file 8e455d7a-bcb5-4e97-ad5f-5c2a818a5a2c
|
4
|
|
Corrigendum to “Artificial intelligence in computed tomography plaque characterization: A review” [Eur. J. Radiol. 140 (2021) 109767] (European Journal of Radiology (2021) 140, (S0720048X21002485), (10.1016/j.ejrad.2021.109767)), file 8e469608-1bb2-4da3-a0da-75d477051dc0
|
4
|
|
Role of cardiac MRI in the diagnosis of immune checkpoint inhibitor-associated myocarditis, file a096269c-c4a7-4760-8ccd-6fcaa46117d9
|
4
|
|
International Union of Angiology (IUA) consensus paper on imaging strategies in atherosclerotic carotid artery imaging: From basic strategies to advanced approaches, file d4b6071f-8818-42ba-86eb-5809665b980f
|
4
|
|
Imbalanced MMP-3 and MMP-12 serum levels in systemic lupus erythematosus patients with Jaccoud's arthropathy and a distinctive MRI pattern, file e2f56eda-9abb-3eaf-e053-3a05fe0a5d97
|
4
|
|
Mid-term effects of carotid endarterectomy on cognition and white matter status evaluated by whole brain diffusion tensor imaging metrics: A preliminary analysis, file 1da229af-7603-49cb-a309-a7e3af599c47
|
3
|
|
Pearls and Pitfalls of Carotid Artery Imaging: Ultrasound, Computed Tomography Angiography, and MR Imaging, file 3de0011e-3ee6-40ff-b7c6-fc07a891f2ef
|
3
|
|
Multimodality imaging of intramyocardial dissecting haematoma, file b190d11b-814d-4640-92c0-7e71711b13f4
|
3
|
|
Computed tomography predictors of structural valve degeneration in patients undergoing transcatheter aortic valve implantation with balloon-expandable prostheses, file cb4ba9d8-20a8-4f51-b750-d0b887fab76b
|
3
|
|
Coronary Artery Calcium Score Predicts Major Adverse Cardiovascular Events in Stable Chest Pain, file dc7d390a-6290-46fc-b7b5-e60cb3ebc0ee
|
3
|
|
Artificial intelligence in computed tomography plaque characterization: A review, file e2f56eda-9c83-3eaf-e053-3a05fe0a5d97
|
3
|
|
Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping, file fa668d9e-fc29-4119-b17a-d05ae0b06ede
|
3
|
|
Obstructive and nonobstructive hypertrophic cardiomyopathy: Differences in global and segmental myocardial strain by cardiac magnetic resonance feature tracking, file fd7d76b8-0a7d-4c7f-8dbb-47ac5665a30c
|
3
|
|
Emerging Role of Cardiac Magnetic Resonance Imaging in Diagnosing Myocarditis: A Blunder or The Way To Get the Problem Sorted?, file 06649a18-0252-4c80-addb-5a16a36c0ceb
|
2
|
|
Atrial and ventricular strain using cardiovascular magnetic resonance in the prediction of outcomes of pericarditis patients: a pilot study, file 6b10f3bf-22b1-4b11-9160-7ce6f6706123
|
2
|
|
Sex-based differences in late gadolinium enhancement among patients with acute myocarditis, file 765588c8-95fe-476c-860c-8fc4df2da63f
|
2
|
|
Exploring the EVolution in PrognOstic CapabiLity of MUltisequence Cardiac MagneTIc ResOnance in PatieNts Affected by Takotsubo Cardiomyopathy Based on Machine Learning Analysis: Design and Rationale of the EVOLUTION Study, file 7d1bc762-708f-4495-9f2c-1e4d55f5bfe1
|
2
|
|
Multimodality imaging of intramyocardial dissecting haematoma, file 82b811a2-b1e5-41ec-835b-ea9a7de7277c
|
2
|
|
Obstructive and nonobstructive hypertrophic cardiomyopathy: Differences in global and segmental myocardial strain by cardiac magnetic resonance feature tracking, file 9183be0d-6c33-4dc3-a7af-35ac87a6260d
|
2
|
|
Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping, file ba976556-a800-4fc0-80df-a3d9e71de48d
|
2
|
|
Corrigendum to “Artificial intelligence in computed tomography plaque characterization: A review” [Eur. J. Radiol. 140 (2021) 109767] (European Journal of Radiology (2021) 140, (S0720048X21002485), (10.1016/j.ejrad.2021.109767)), file be25b97b-4efc-4a24-9d4f-54329e0b89e0
|
2
|
|
Early diagnosis of chemotherapy-induced cardiotoxicity by cardiac MRI, file e2f56eda-4d43-3eaf-e053-3a05fe0a5d97
|
2
|
|
Potential Role of Artificial Intelligence in Cardiac Magnetic Resonance Imaging. Can It Help Clinicians in Making a Diagnosis?, file e2f56eda-ac38-3eaf-e053-3a05fe0a5d97
|
2
|
|
Artificial Intelligence-Based Coronary Artery Disease Reporting and Data System (CAD-RADS), file 02c780a2-4614-4e31-8fef-9923deaac7e1
|
1
|
|
Left atrial appendage strain and strain rate using cardiovascular magnetic resonance feature tracking: preliminary study on feasibility and reproducibility, file 0c9c2ccc-67cb-4e88-b943-a3750099bc66
|
1
|
|
Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes, file 0f01119a-7d8c-4ff9-922d-a683a3529b69
|
1
|
|
Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis, file 0f7f0b00-9ad4-45ae-9e52-523df7161a52
|
1
|
|
Pearls and Pitfalls of Carotid Artery Imaging: Ultrasound, Computed Tomography Angiography, and MR Imaging, file 15865c67-e275-4aaa-9ff8-d87c414c9148
|
1
|
|
Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy, file 29f2cc9e-49af-4754-ae66-47492a1f394e
|
1
|
|
null, file 3f6c2458-20a0-4072-976e-c3454075d518
|
1
|
|
null, file 8dcdda86-199c-4593-a352-203f89c96d90
|
1
|
|
Emerging Role of Cardiac Magnetic Resonance Imaging in Diagnosing Myocarditis: A Blunder or The Way To Get the Problem Sorted?, file 9261b017-5813-4b2b-ab27-6af3e4716bce
|
1
|
|
Pulmonary transit time as a marker of diastolic dysfunction in Takotsubo syndrome, file ad8f4690-04fe-4576-85d1-c3fabe6fc6c7
|
1
|
|
Atrial Impairment as a Marker in Discriminating Between Takotsubo and Acute Myocarditis Using Cardiac Magnetic Resonance, file b5dd0cdd-7972-44e0-92ec-0c4ef6d29dd6
|
1
|
|
Coronary Artery Calcium Score Predicts Major Adverse Cardiovascular Events in Stable Chest Pain, file c5c09ef9-b8d8-4daf-a18a-37a98c6f18cc
|
1
|
|
Could CMR Tissue-Tracking and Parametric Mapping Distinguish Between Takotsubo Syndrome and Acute Myocarditis? A Pilot Study, file e27e2c5b-d67a-4384-8292-b879d8a9e1c9
|
1
|
|
Imaging in COVID-19-related myocardial injury, file e2f56ed9-78da-3eaf-e053-3a05fe0a5d97
|
1
|
|
Cardiac Involvement in COVID-19-Assessment with Echocardiography and Cardiac Magnetic Resonance Imaging, file e2f56ed9-a9c2-3eaf-e053-3a05fe0a5d97
|
1
|
|
Complications in COVID-19 patients: Characteristics of pulmonary embolism, file e2f56eda-9858-3eaf-e053-3a05fe0a5d97
|
1
|
|
Reply to “Arteries of the Lower Limb—Embryology, Variations, and Clinical Significance”, file e2f56eda-c757-3eaf-e053-3a05fe0a5d97
|
1
|
| Totale |
1.120 |