Modeling of Blood Perfusion in Dependence of Scanning Angle from LDPI Data
暂无分享,去创建一个
Iveta Bryjova | Marek Penhaker | Jan Kubícek | Martin Cerný | Martin Augustynek | Vladimir Kasik | Zbynek Labza | M. Penhaker | M. Augustynek | M. Cerný | V. Kasik | I. Bryjova | J. Kubíček | Z. Labza
[1] Alessandro Bevilacqua,et al. A novel approach for semi-quantitative assessment of reliability of blood flow values in DCE-CT perfusion , 2017, Biomed. Signal Process. Control..
[2] Leo Klein,et al. Objective evaluation of the effect of autologous platelet concentrate on post-operative scarring in deep burns. , 2013, Burns : journal of the International Society for Burn Injuries.
[3] Jaroslav Majernik,et al. Education of Clinical Disciplines in Pre and Post-Graduate Study Oriented on Increasing of Newest Infectious Diseases Knowledge , 2012 .
[4] Satoko Kawauchi,et al. Burn depth assessments by photoacoustic imaging and laser Doppler imaging , 2016, Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society.
[5] E. Middelkoop,et al. Long‐term scar quality in burns with three distinct healing potentials: A multicenter prospective cohort study , 2016, Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society.
[6] Augustynek M.,et al. Verification of Set Up Dual-Chamber Pacemaker Electrical Parameters , 2010, 2010 Second International Conference on Computer Engineering and Applications.
[7] Jin Yong Shin,et al. Diagnostic accuracy of laser Doppler imaging in burn depth assessment: Systematic review and meta-analysis. , 2016, Burns : journal of the International Society for Burn Injuries.
[8] Grethe Andersen,et al. Early neurological deterioration after thrombolysis: Clinical and imaging predictors , 2016, International journal of stroke : official journal of the International Stroke Society.
[9] Ondrej Krejcar,et al. Optimization of 3D Rendering in Mobile Devices , 2015, MobiWIS.
[10] Peter Brida,et al. Scalability Optimization of Seamless Positioning Service , 2016, Mob. Inf. Syst..
[11] Jaroslav Majernik,et al. Web-based delivery of medical education contents used to facilitate learning of infectology subjects , 2014, The 10th International Conference on Digital Technologies 2014.
[12] Rolf Lefering,et al. O2C Laser Doppler and Digital Photo Analysis for Treatment Evaluation of Beta-Glucan versus Provitamin Pantothenic Acid of Facial Burns , 2016, Facial Plastic Surgery.
[13] Ondrej Krejcar,et al. The biomedical data collecting system , 2015, 2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA).
[14] M. Penhaker,et al. Sensor Network for Measurement and Analysis on Medical Devices Quality Control , 2011 .
[15] Dana Šalounová,et al. The time factor in the LDI (Laser Doppler Imaging) diagnosis of burns , 2015, Lasers in surgery and medicine.
[16] Marek Kukucka. Modeling of logic diagnostic system knowledge base evaluation , 2009, 2009 19th International Conference Radioelektronika.
[17] Martin Cerny,et al. Design and Implementation of Textile Sensors for Biotelemetry Applications , 2008 .
[18] Martin Cerny,et al. Circadian Rhythm Monitoring in HomeCare Systems , 2009 .
[19] Iveta Bryjova,et al. Classification Method for Macular Lesions Using Fuzzy Thresholding Method , 2016 .
[20] Václav Snásel,et al. Biomedical Distributed Signal Processing and Analysis , 2013, CISIM.
[21] A. S. Abraham,et al. MYOCARDIAL BLOOD FLOW , 1971 .
[22] Radovan Hudák,et al. Direct Metal Laser Sintering of Ti6Al4V for Biomedical Applications: Microstructure, Corrosion Properties, and Mechanical Treatment of Implants , 2016 .
[23] Salma E Elamin,et al. Is Laser Doppler imaging (LDI) a measure of burn depth? , 2015, Burns : journal of the International Society for Burn Injuries.
[24] Manjunatha Mahadevappa,et al. Learning of speckle statistics for in vivo and noninvasive characterization of cutaneous wound regions using laser speckle contrast imaging. , 2016, Microvascular research.