| Nome |
# |
|
Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images, file e0c31c0d-4099-4599-e053-1705fe0aef77
|
640
|
|
Beat-to-beat heart rate detection by smartphone's accelerometers: Validation with ECG, file e0c31c0a-751b-4599-e053-1705fe0aef77
|
601
|
|
Mitral valve finite element modelling from ultrasound data: a pilot study for a new approach to understand mitral function and clinical scenarios, file e0c31c0b-a9d9-4599-e053-1705fe0aef77
|
600
|
|
An in-silico analysis of the effect of heart position and orientation on the ECG morphology and vectorcardiogram parameters in patients with heart failure and intraventricular conduction defects, file e0c31c08-ec12-4599-e053-1705fe0aef77
|
295
|
|
Evaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging, file e0c31c0b-07da-4599-e053-1705fe0aef77
|
268
|
|
Comparison of image processing techniques for nonviable tissue quantification in late gadolinium enhancement cardiac magnetic resonance images, file e0c31c0a-7472-4599-e053-1705fe0aef77
|
259
|
|
Anatomical Regurgitant Orifice Detection and Quantification from 3-D Echocardiographic Images, file e0c31c0a-ef5e-4599-e053-1705fe0aef77
|
230
|
|
Semiautomated detection and quantification of aortic plaques from three-dimensional transesophageal echocardiography., file e0c31c08-3450-4599-e053-1705fe0aef77
|
229
|
|
Three-dimensional analysis of regional left ventricular endocardial curvature from cardiac magnetic resonance images, file e0c31c0b-5172-4599-e053-1705fe0aef77
|
203
|
|
Three-dimensional segmentation and quantification of the anatomic regurgitant orifice in mitral regurgitation using 3D ultrasound images, file e0c31c09-68f0-4599-e053-1705fe0aef77
|
191
|
|
Improved quantification of left ventricular volumes and mass based on endocardial and epicardial surface detection from cardiac MR images using level set models, file e0c31c0d-7087-4599-e053-1705fe0aef77
|
191
|
|
The need for transparency of clinical evidence for medical devices in Europe, file e0c31c11-088e-4599-e053-1705fe0aef77
|
189
|
|
Evaluation of different statistical shape models for segmentation of the left ventricular endocardium from magnetic resonance images, file e0c31c09-6bbd-4599-e053-1705fe0aef77
|
187
|
|
Ultra-short-term heart rate variability analysis on accelerometric signals from mobile phone, file e0c31c0b-76ea-4599-e053-1705fe0aef77
|
175
|
|
Objective evaluation of changes in left ventricular and atrial volumes during parabolic flight using real-time three-dimensional echocardiography, file e0c31c0d-5716-4599-e053-1705fe0aef77
|
172
|
|
Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients, file e0c31c0d-2a06-4599-e053-1705fe0aef77
|
167
|
|
Automated interpretation of regional left ventricular wall motion from cardiac magnetic resonance images, file e0c31c0d-727f-4599-e053-1705fe0aef77
|
163
|
|
Psycho-cognitive factors orienting ehealth development and evaluation, file e0c31c10-599e-4599-e053-1705fe0aef77
|
163
|
|
Feasibility of quantitative analysis of regional left ventricular function in the post-infarct mouse by magnetic resonance imaging with retrospective gating, file e0c31c0b-517b-4599-e053-1705fe0aef77
|
162
|
|
The role of still-frame parametric imaging in magnetic resonance assessment of left ventricular wall motion by non-cardiologists, file e0c31c0d-6288-4599-e053-1705fe0aef77
|
162
|
|
Parametric Imaging for the Assessment of Cardiac Motion: A Review, file e0c31c0d-6293-4599-e053-1705fe0aef77
|
161
|
|
T-wave alternans and autonomic nervous system activity during orthostatic stress after 5 days of head-down bed-rest, file e0c31c09-61f8-4599-e053-1705fe0aef77
|
159
|
|
Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives: by the Task Force of the e-Cardiology Working Group of European Society of Cardiology., file e0c31c0e-22c5-4599-e053-1705fe0aef77
|
159
|
|
Changes in ventricular repolarization and cardiac function induced by head-down bed rest, file e0c31c09-760b-4599-e053-1705fe0aef77
|
157
|
|
Mitral valve models reconstructor: a Python-based GUI software in a HPC environment for patient-specific FEM structural analysis, file e0c31c0b-aef3-4599-e053-1705fe0aef77
|
157
|
|
Quantification of myocardial viability in late Gadolinium enhancement Cardiac MRI, file e0c31c09-5f63-4599-e053-1705fe0aef77
|
143
|
|
Dual triggering improves the accuracy of left ventricular volume measurements by contrast-enhanced real-time three-dimensional echocardiography, file e0c31c0d-7282-4599-e053-1705fe0aef77
|
141
|
|
Evaluation of changes in T-wave alternans induced by 60-days of immobilization by head-down bed-rest, file e0c31c0b-a869-4599-e053-1705fe0aef77
|
132
|
|
Circadian modulation on T-wave alternans activity in chronic heart failure patients, file e0c31c09-6c56-4599-e053-1705fe0aef77
|
129
|
|
Respiratory Frequency Estimation from Accelerometric Signals Acquired by
Mobile Phone in a Controlled Breathing Protocol, file e0c31c0b-aa1f-4599-e053-1705fe0aef77
|
127
|
|
A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images, file e0c31c0d-728c-4599-e053-1705fe0aef77
|
124
|
|
Human pathophysiological adaptations to the space environment, file e0c31c0b-a1c1-4599-e053-1705fe0aef77
|
121
|
|
Weightlessness and Cardiac Rhythm Disorders: Current Knowledge from Space Flight and Bed-Rest Studies, file e0c31c0a-6f1a-4599-e053-1705fe0aef77
|
116
|
|
Index of T-wave variation as a predictor of sudden cardiac death in chronic heart failure patients with atrial fibrillation, file e0c31c0b-57df-4599-e053-1705fe0aef77
|
112
|
|
Aortic flow and morphology adaptation to deconditioning after 21-days of head-down bed-rest assessed by phase contrast MRI, file e0c31c0b-9571-4599-e053-1705fe0aef77
|
111
|
|
Effects of exercise countermeasure on myocardial contractility measured by 4D speckle tracking during a 21-day head-down bed rest, file e0c31c0f-332e-4599-e053-1705fe0aef77
|
111
|
|
Improvement in echocardiographic evaluation of left ventricular wall motion using still-frame parametric imaging, file e0c31c0d-7287-4599-e053-1705fe0aef77
|
102
|
|
Analysis of changes in cardiac circadian rhythms of RR and QT induced by a 60-day head-down bed rest with and without nutritional countermeasure, file e0c31c10-4d48-4599-e053-1705fe0aef77
|
99
|
|
Right ventricular endocardial segmentation in CMR images using a novel inter-modality statistical shape modelling approach, file e0c31c0b-a668-4599-e053-1705fe0aef77
|
98
|
|
Assessment of ultra-short heart variability indices derived by smartphone accelerometers for stress detection, file e0c31c0f-3329-4599-e053-1705fe0aef77
|
98
|
|
Heartbeat Detection Using Three-Axial Seismocardiogram Acquired by Mobile Phone, file e0c31c0f-3332-4599-e053-1705fe0aef77
|
98
|
|
Objective assessment of left ventricular wall motion from contrast-enhanced power modulation images, file e0c31c0d-628c-4599-e053-1705fe0aef77
|
97
|
|
OPEN DATA in HEALTH-GEOMATICS: MAPPING and EVALUATING PUBLICLY ACCESSIBLE DEFIBRILLATORS, file e0c31c0e-df73-4599-e053-1705fe0aef77
|
96
|
|
Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach, file e0c31c0f-3330-4599-e053-1705fe0aef77
|
93
|
|
Evaluation of T-wave alternans activity under stress conditions after 5 d and 21 d of sedentary head-down bed rest, file e0c31c08-6ed8-4599-e053-1705fe0aef77
|
91
|
|
Microgravity Exposure Alters Sympathetic Modulation of Ventricular Repolarization Quantified from the ECG via Periodic Repolarization Dynamics, file e0c31c0f-3331-4599-e053-1705fe0aef77
|
78
|
|
Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring, file e0c31c12-7b07-4599-e053-1705fe0aef77
|
78
|
|
Feasibility of Heart Rate and Respiratory Rate Estimation by Inertial Sensors Embedded in a Virtual Reality Headset, file e0c31c10-5ffe-4599-e053-1705fe0aef77
|
71
|
|
Digital Health Services through Patient Empowerment: Classification, Current State and Preliminary Impact Assessment by Health Pod Systems, file e0c31c11-fcb7-4599-e053-1705fe0aef77
|
68
|
|
Ventricular repolarization changes driven by deconditioning after 21-days of head-down bed-rest, file e0c31c07-bf1a-4599-e053-1705fe0aef77
|
61
|
|
Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine CMR Images, file e0c31c0d-2f03-4599-e053-1705fe0aef77
|
52
|
|
Patient-specific modelling of cardiac electrophysiology in heart-failure patients., file e0c31c08-3453-4599-e053-1705fe0aef77
|
51
|
|
Effectiveness of high-intensity jump training countermeasure on mitral and aortic flow after 58-days head-down bed-rest assessed by phase-contrast MRI, file e0c31c0d-5442-4599-e053-1705fe0aef77
|
49
|
|
Long-Term Microgravity Exposure Increases ECG Repolarization Instability Manifested by Low-Frequency Oscillations of T-Wave Vector, file e0c31c10-318b-4599-e053-1705fe0aef77
|
48
|
|
Evaluation of Cardiac Circadian Rhythm Deconditioning Induced by 5-to-60 Days of Head-Down Bed Rest, file e0c31c11-e5e1-4599-e053-1705fe0aef77
|
40
|
|
Improved clinical investigation and evaluation of high-risk medical devices: the rationale and objectives of CORE–MD (Coordinating Research and Evidence for Medical Devices), file e0c31c12-048b-4599-e053-1705fe0aef77
|
40
|
|
Evaluation of the Changes in RR and QT Circadian Rhythms in Bedridden Subjects, file e0c31c11-dfee-4599-e053-1705fe0aef77
|
39
|
|
Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of COVID-19 Diffusion in the Lombardy Region (Italy), file e0c31c12-1321-4599-e053-1705fe0aef77
|
32
|
|
Effects of 5 days of head-down bed rest, with and without short-arm centrifugation as countermeasure, on cardiac function in males (BR-AG1 study)., file e0c31c0e-43d2-4599-e053-1705fe0aef77
|
31
|
|
Reconstruction of the descending thoracic aorta by multiview compounding of 3-d transesophageal echocardiographic aortic data sets for improved examination and quantification of atheroma burden, file e0c31c0e-0a51-4599-e053-1705fe0aef77
|
27
|
|
Improved clinical investigation and evaluation of high-risk medical devices: the rationale and objectives of CORE-MD (Coordinating Research and Evidence for Medical Devices), file 74974972-f374-4d0a-a0a6-31c8ad1f9330
|
20
|
|
Semi-automated Segmentation and Quantification of Mitral Annulus and Leaflets from Transesophageal 3-D Echocardiographic Images, file e0c31c0e-5db3-4599-e053-1705fe0aef77
|
20
|
|
Three-dimensional left ventricular segmentation from magnetic resonance imaging for patient-specific modelling purposes., file e0c31c0d-eb3f-4599-e053-1705fe0aef77
|
19
|
|
COVID-19 and mental disorders in Healthcare Personnel: A Novel Framework to Develop Personas from an Online Survey, file e0c31c12-0d8b-4599-e053-1705fe0aef77
|
15
|
|
A framework for risk stratification of burnout due to Covid-19 in nurses using personas creation, file e0c31c12-5331-4599-e053-1705fe0aef77
|
14
|
|
3D echocardiographic imaging and modeling: towards the patient-specific virtual mitral valve, file e0c31c0b-8dfd-4599-e053-1705fe0aef77
|
13
|
|
New perspectives for hypertension management: progress in methodological and technological developments, file 9a3ce455-2ae6-4283-a727-4d0072d06a3e
|
9
|
|
Cardiac adaptations to 60 day head-down-tilt bed rest deconditioning. Findings from the AGBRESA study, file 80b9559f-3798-4246-895c-8f0d79167511
|
5
|
|
Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment, file 7a5e359c-9e66-4054-a70c-895cc29d6137
|
4
|
|
Editorial: Digital Solutions in Cardiology, file 5779be91-cd2d-4d7f-8670-cc66861dccea
|
3
|
|
Cardiovascular deconditioning and impact of artificial gravity during 60-day head-down bed rest-Insights from 4D flow cardiac MRI, file 74cb5904-c0a2-4ff3-81ea-35d520e142b5
|
3
|
|
Effects of 5 days of head-down bed rest, with and without short-arm centrifugation as countermeasure, on cardiac function in males (BR-AG1 study)., file e0c31c08-3451-4599-e053-1705fe0aef77
|
3
|
|
Validazione tecnica delle terapie digitali, file e0c31c10-45d1-4599-e053-1705fe0aef77
|
3
|
|
Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions, file 20f961d5-a0f4-4c85-8290-70aed1dbcb68
|
2
|
|
Cardiovascular adaptation to simulated microgravity and countermeasure efficacy assessed by ballistocardiography and seismocardiography, file 8563dd5e-c057-4fbe-8afc-d6b5e67b0051
|
2
|
|
Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy, file 858ae960-823c-4673-a8dd-48c03d4c8e0c
|
2
|
|
Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine CMR Images, file e0c31c08-344f-4599-e053-1705fe0aef77
|
2
|
|
Three-dimensional left ventricular segmentation from magnetic resonance imaging for patient-specific modelling purposes., file e0c31c08-3452-4599-e053-1705fe0aef77
|
2
|
|
Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives: by the Task Force of the e-Cardiology Working Group of European Society of Cardiology., file e0c31c08-3454-4599-e053-1705fe0aef77
|
2
|
|
Post-Ventricular Premature Contraction Phase Correction Improves the Predictive Value of Average T-Wave Alternans in Ambulatory ECG Recordings, file e0c31c0b-a1c3-4599-e053-1705fe0aef77
|
2
|
|
ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine, file e0c31c0d-7293-4599-e053-1705fe0aef77
|
2
|
|
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images, file 17ecfb9b-7f0b-41c2-a50d-073f08a55d3c
|
1
|
|
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network, file 33b52f36-18eb-4064-89ba-03519e1a155f
|
1
|
|
Predictive Value of Pre-Operative 2D and 3D Transthoracic Echocardiography in Patients Undergoing Mitral Valve Repair: Long Term Follow Up of Mitral Valve Regurgitation Recurrence and Heart Chamber Remodeling, file 35cc0e4a-5ec8-43f3-9825-abc652d8ffdf
|
1
|
|
3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method, file 782142d3-5cbe-4aa9-8095-4c224bb8669b
|
1
|
|
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images, file 7da1cd2a-a6a8-42ec-bcf1-60d175542629
|
1
|
|
Response of Ventricular Repolarization to Simulated Microgravity Measured by Periodic Repolarization Dynamics Using Phase-Rectified Signal Averaging, file 966e5aab-71df-4f7d-a9b3-4e507c1312e9
|
1
|
|
ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients, file 968a3978-6cbb-4b0a-8a22-114577ffaa12
|
1
|
|
From Kepler's conjecture and fcc lattice to modelling of crowding in living matter, file e0c31c08-1b89-4599-e053-1705fe0aef77
|
1
|
|
Reconstruction of the descending thoracic aorta by multiview compounding of 3-d transesophageal echocardiographic aortic data sets for improved examination and quantification of atheroma burden, file e0c31c08-e957-4599-e053-1705fe0aef77
|
1
|
|
Semi-automated Segmentation and Quantification of Mitral Annulus and Leaflets from Transesophageal 3-D Echocardiographic Images, file e0c31c08-ec10-4599-e053-1705fe0aef77
|
1
|
|
Feasibility study for beat-to-beat heart rate detection by smartphone's accelerometers, file e0c31c09-61e8-4599-e053-1705fe0aef77
|
1
|
|
Feasibility of intraoperative 3D transesophageal echocardiography in the evaluation of right ventricular volumes and function in patients undergoing cardiac surgery, file e0c31c0b-5179-4599-e053-1705fe0aef77
|
1
|
|
Human Pathophysiological Adaptations to the Space Environment, file e0c31c0b-ad1f-4599-e053-1705fe0aef77
|
1
|
|
Feasibility of left ventricular shape analysis from real-time 3D echocardiographic images, file e0c31c0b-be77-4599-e053-1705fe0aef77
|
1
|
|
Tracking of left ventricular long axis from real-time three-dimensional echocardiography using optical flow techniques, file e0c31c0d-3e8d-4599-e053-1705fe0aef77
|
1
|
|
The need for transparency of clinical evidence for medical devices in Europe, file e0c31c0d-6367-4599-e053-1705fe0aef77
|
1
|
|
Automated Characterization of Mobile Health Apps' Features by Extracting Information From the Web: An Exploratory Study, file e0c31c0d-7290-4599-e053-1705fe0aef77
|
1
|
|
Implementing the new European regulations on medical devices-clinical responsibilities for evidence-based practice: A report from the regulatory affairs committee of the European society of cardiology, file e0c31c10-2c17-4599-e053-1705fe0aef77
|
1
|
|
Mobile health applications for managing atrial fibrillation for healthcare professionals and patients: A systematic review, file e0c31c10-5626-4599-e053-1705fe0aef77
|
1
|
| Totale |
9210 |