about
Danish study of Non-Invasive testing in Coronary Artery Disease (Dan-NICAD): study protocol for a randomised controlled trial.Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris.High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test.An open access database for the evaluation of heart sound algorithms.Segmentation of heart sound recordings by a duration-dependent hidden Markov model.Acoustic Features for the Identification of Coronary Artery Disease.Digital auscultation of the uterine artery: a measure of uteroplacental perfusion.Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification.Separation and characterization of maternal cardiac and vascular sounds in the third trimester of pregnancy.Recent advances in heart sound analysis.High-Frame-Rate Deformation Imaging in Two Dimensions Using Continuous Speckle-Feature Tracking.Semi-automatic vessel tracking and segmentation using epicardial ultrasound in bypass surgery.Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity.An Improved Algorithm for Coronary Bypass Anastomosis Segmentation in Epicardial Ultrasound Sequences.Automatic detection of coronary artery anastomoses in epicardial ultrasound images.Computer-aided auscultation to diagnose Renal Artery Stenosis.Definition of Fiducial Points in the Normal SeismocardiogramComparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography InvestigationCoronary artery disease risk reclassification by a new acoustic-based scoreQuantitative Parameters of High-Frame-Rate Strain in Patients with Echocardiographically Normal FunctionPre-test probability prediction in patients with a low to intermediate probability of coronary artery disease: a prospective study with a fractional flow reserve endpointDanish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): Study design for a controlled study of diagnostic accuracyCoronary artery disease risk reclassification using an acoustic-based score in view of the new European Society of Cardiology 2019 guidelines on Chronic Coronary Syndromes
P50
Q27333796-A771B774-7F3C-40FC-BEDB-BD363CB61C48Q30391413-BDF94535-A2CC-4588-B15A-1756A0B119EEQ30408976-51434F0C-3F67-4DC5-A644-146932A7300DQ30490361-6CF4DA03-7969-4FCA-B65E-EBF0835A12BFQ39922662-8AF5D9E5-333F-4324-BA98-64BE8617A94EQ40280605-5485DBC6-641F-4329-B3D5-2F112F16B97AQ40383801-782BD7DC-413A-407A-9DFD-E9BBFEE88EC0Q47363982-C64AA420-F32E-4C86-A458-295E2442D4A1Q47417854-FDA71723-D1DA-4707-B513-8ACD990AF73DQ47938109-A1CCFB15-2B64-455D-85E0-39E24FDA1954Q48598870-23921287-CE38-48EB-B8BA-67D50E9CC202Q48738529-7AAFFF42-E017-42B6-AC19-FE49E981825BQ50559385-908BD60E-9D96-48D4-94BB-2E8FF8DA81BAQ50587388-96052A85-B344-4492-96B5-CB5446F5DF89Q50979631-0B72EA42-CED9-45B8-9C78-91B722303970Q51634480-7A1D54A7-3749-4EC2-95B3-55EB2C846721Q58603638-FA8A1565-63C1-456B-8AB9-D208A4E2BBC4Q90050009-59F90222-0405-4492-98F4-F8DD01CEFCB8Q91625199-EFF373E5-4573-4D4F-9E3F-0307AD87A61EQ91656198-41E3FB3F-0AA0-4EBD-9541-12524B33AA9FQ91983447-204E4408-5DFF-4CBB-B965-A0E287AB7A69Q92024172-53A9817F-8834-4B2C-88DE-126400E874DDQ92105311-300CD67B-B99E-4EC0-B363-050B39627769
P50
description
researcher ORCID ID = 0000-0002-0917-634X
@en
wetenschapper
@nl
name
Samuel E Schmidt
@ast
Samuel E Schmidt
@en
Samuel E Schmidt
@es
Samuel E Schmidt
@nl
type
label
Samuel E Schmidt
@ast
Samuel E Schmidt
@en
Samuel E Schmidt
@es
Samuel E Schmidt
@nl
prefLabel
Samuel E Schmidt
@ast
Samuel E Schmidt
@en
Samuel E Schmidt
@es
Samuel E Schmidt
@nl
P106
P1153
26323793100
P21
P2456
P31
P496
0000-0002-0917-634X