Listing 1 - 10 of 11 | << page >> |
Sort by
|
Choose an application
Immigrants --- Government policy --- United States --- Emigration and immigration. --- Emigration and immigration --- Government policy. --- Immigration
Choose an application
Immigrants --- Immigrants --- Government policy --- United States --- United States --- Emigration and immigration. --- Emigration and immigration --- Government policy.
Choose an application
Literature and science --- Poetry and science --- Science and literature --- Science and poetry --- Science and the humanities --- Science --- Thematology
Choose an application
Handbook of Biomedical Image Analysis: Registration Models (Volume III) is dedicated to the algorithms for registration of medical images and volumes. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, biomedical engineering, physicists covering different medical imaging modalities and researchers in applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry. Key Features: -- Medical image registration: theory, algorithms and case studies in surgical simulation, chest cancer, and multiple sclerosis -- Level sets for segmentation and registration for medical volumes -- Registration and non-rigid registration for pelvis and prostate -- Cross-entropy, reversed cross-entropy, and symmetric divergence similarity measures for 3D image registration: a comparative study -- Stereo and temporal eye registration by mutual information maximization -- Quantification of brain aneurysm dimensions from CTA for surgical planning of coiling interventions -- Inverse consistent image registration -- A computer-aided design system for segmentation of volumetric images -- Inter-subject non-rigid registration: an overview with classification and the Romeo algorithm -- Elastic registration for biomedical applications -- Quo vadis, atlas-based segmentation -- Elastic registration for biomedical applications -- Future of image and volume registration techniques About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
Diagnostic imaging --- Image analysis --- Imagerie pour le diagnostic --- Analyse d'images --- Digital techniques --- Handbooks, manuals, etc. --- Mathematical models --- Techniques numériques --- Guides, manuels, etc. --- Modèles mathématiques --- Diagnostic imaging -- Digital techniques -- Handbooks, manuals, etc. --- Diagnostic imaging -- Mathematical models -- Handbooks, manuals, etc. --- Image analysis -- Handbooks, manuals, etc. --- Biomedical Engineering --- Radiology, MRI, Ultrasonography & Medical Physics --- Medicine --- Health & Biological Sciences --- Computer vision. --- Diagnostic imaging. --- Image processing. --- Techniques numériques --- Modèles mathématiques --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Analysis of images --- Image interpretation --- Clinical imaging --- Imaging, Diagnostic --- Medical diagnostic imaging --- Medical imaging --- Noninvasive medical imaging --- Medicine. --- Radiology. --- Internal medicine. --- Pathology. --- Computers. --- Computer graphics. --- Biomedical engineering. --- Medicine & Public Health. --- Internal Medicine. --- Biomedical Engineering. --- Imaging / Radiology. --- Theory of Computation. --- Computer Graphics. --- Imaging systems --- Diagnosis, Noninvasive --- Imaging systems in medicine --- Radiology, Medical. --- Information theory. --- Biomedical Engineering and Bioengineering. --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine, Internal --- Disease (Pathology) --- Medical sciences --- Diseases --- Medicine, Preventive --- Communication theory --- Communication --- Cybernetics --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Machine theory --- Calculators --- Cyberspace --- Radiological physics --- Physics --- Radiation
Choose an application
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Choose an application
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Choose an application
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Choose an application
Handbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry . Key Features: - Principles of intra-vascular ultrasound (IVUS) - Principles of positron emission tomography (PET) - Physical principles of magnetic resonance angiography (MRA). - Basic and advanced level set methods - Shape for shading method for medical image analysis - Wavelet transforms and other multi-scale analysis functions - Three dimensional deformable surfaces - Level Set application for CT lungs, brain MRI and MRA volume segmentation - Segmentation of incomplete tomographic medical data sets - Subjective level sets for missing boundaries for segmentation About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Choose an application
Handbook of Biomedical Image Analysis: Segmentation Models (Volume II) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematicaltechniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry. Key Features: --- Model-based brain tissue classification --- Supervised texture classification for intravascular tissue characterization --- Medical image segmentation: methods and applications in functional imaging --- Automatic segmentation of pancreatic tumors in CT --- Computerized analysis and vasodilation parameterization in flow-mediated dilation tests from ultrasonic image sequences --- Adaptive approaches to optical segmentation in brain MRI Images --- Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy --- Segmentation issues of carotid plaque analysis in MRI --- Accurate lumen identification, detection, and quantification in MR plaque volumes --- Hessian-based multiscale enhancement, description, and quantification of second-order 3D local structures from medical volume data --- A knowledge-based scheme for digital mammography --- Simultaneous fuzzy segmentation --- CAD of mammographic calicification: impact of segmentation About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Choose an application
Handbook of Biomedical Image Analysis: Registration Models (Volume III) is dedicated to the algorithms for registration of medical images and volumes. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, biomedical engineering, physicists covering different medical imaging modalities and researchers in applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry. Key Features: -- Medical image registration: theory, algorithms and case studies in surgical simulation, chest cancer, and multiple sclerosis -- Level sets for segmentation and registration for medical volumes -- Registration and non-rigid registration for pelvis and prostrate -- Cross-entropy, reversed cross-entropy, and symmetric divergence similarity measures for 3D image registration: a comparative study -- Stereo and temporal eye registration by mutual information maximization -- Quantification of brain aneurysm dimensions from CTA for surgical planning of coiling interventions -- Inverse consistent image registration -- A computer-aided design system for segmentation of volumetric images -- Inter-subject non-rigid registration: an overview with classification and the Romeo algorithm -- Elastic registration for biomedical applications -- Quo vadis, atlas-based segmentation -- Elastic registration for biomedical applications -- Future of image and volume registration techniques About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
Human biochemistry --- Physical methods for diagnosis --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- beeldanalyse --- medische biochemie --- toegepaste informatica --- biochemie --- grafische vormgeving --- radiologie --- medische beeldvorming --- KI (kunstmatige intelligentie) --- fysicochemie
Listing 1 - 10 of 11 | << page >> |
Sort by
|