Conferences related to Computed tomography

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 IEEE Statistical Signal Processing Workshop (SSP)

SSP 2018 is the 20th in a series of unique meetings that bring members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics. The scope of the workshop includes basic theory, methods and algorithms, and applications. SSP is a single-track workshop that includes invited talks, demonstrations and oral and poster presentations of refereed papers.


2017 10th International Symposium on Image and Signal Processing and Analysis (ISPA)

The scope of the conference are theory and applications of signal processing, signal analysis, image processing, and image analysis.


2017 13th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

PRIME2017 conference program will reflect the wide spectrum of research topics in Microelectronics and Electronics, building bridges between various research fields. PRIME has been established over the recent years as an important conference where Ph.D. students and post-docs with less than one year post-Pd.D. experience can present their research results and network with experts from industry, academia and research. The main objectives of PRIME are: to encourage favourable exposure to Ph. D. students in the early stages of their careers; to benchmark Ph.D. research in a friendly and cooperative environment; to enable sharing of student and supervisor experiences of scientific and engineering research; to connect Ph.d. students and their supervisors with companies and research centres.

  • 2016 12th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    PRIME2016 conference program will reflect the wide spectrum of research topics in Microelectronics and Electronics, building bridges between various research fields. PRIME has been established over the recent years as an important conference where PhD students and post-docs with less than one year post-PhD experience can present their research results and network with experts from industry, academia and research. The main objectives of PRIME are: to encourage favourable exposure to Ph.D. students in the early stages of their careers; to benchmark Ph.D. research in a friendly and cooperative environment; to enable sharing of student and supervisor experiences of scientific and engineering research; to connect Ph.D. students and their supervisors with companies and research centres.

  • 2015 11th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    PRIME conference is dedicated to Ph. D. students who have to present all regular papers.The purpose of PRIME is to: Encourage favorable exposure to Ph. D. students in the early stage of their career, Benchmark Ph. D. research in a friendly and cooperative environment, Enable sharing of Ph. D. and supervisors experience on scientific research, Create a connection between academic world and companies to meet these expectations PRIME features: Conference program reflecting the wide spectrum of research topics in Microelectronics and Electronics, building bridges between research fields, Free of charge full-day tutorials for all conference participants, Company Fair for fruitful interactions between Ph.D. students and their supervisors with industry representatives

  • 2014 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    PRIME conference is dedicated to Ph. D. students who have to present all regular papers.The purpose of PRIME is to :- Encourage favorable exposure to Ph. D. students in the early stage of their career- Benchmark Ph. D. research in a friendly and cooperative environment- Enable sharing of Ph. D. and supervisors experience on scientific research- Create a connection between academic world and companiesTo meet these expectations PRIME features:- Conference program reflecting the wide spectrum of research topics in Microelectronics and Electronics, building bridges between research fields- Free of charge full-day tutorials for all conference participants- Company Fair for fruitful interactions between Ph.D. students and their supervisors with industry representatives

  • 2013 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    The conference is a meeting point for PhD students that have the opportunity to present their scientific activities.

  • 2012 8th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    Encourage publication by Ph.D. students in the early stages of their career, in order to benchmark there research in a friendly and cooperative environment. Enable sharing of scientific and engineering experiences between students and supervisors.

  • 2011 7th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

    The objectives of PRIME are: - to encourage favourable exposure to Ph. D. students in the early stages of their careers; - to benchmark Ph.D. research in a friendly and cooperative environment; - to enable sharing of students and supervisors experiences of scientific and engineering research; - to connect Ph.D. students and their supervisors with companies and research centers.

  • 2010 Ph.D. Research in Microelectronics and Electronics (PRIME)

    Last year P.hD. candidates should be come together at PRIME 2010 to be networked with Industry

  • 2009 Ph.D. Research in Microelectronics and Electronics (PRIME)

    The objectives of PRIME are: to encourage favourable exposure to Ph.D. students in the early stages of their careers, to benchmark Ph.D. research in a friendly and cooperative environment, to enable sharing of students and supervisors experiences of scientific and engineering research, and to connect Ph.D. students and their supervisors with companies and research centres.

  • 2008 Ph.D. Research in Microelectronics and Electronics (PRIME)

    The purpose of this conference is to: # Encourage favourable exposure to Ph.D. students in the early stage of their career # Benchmark Ph.D. research in a friendly and cooperative environement # Enable sharing of Ph.D. and supervisors experience on scientific research # Create at the Company Fair a connection between academic world (Ph.D. students) and companies The aim of PRIME 2008 is to provide an opportunity for Ph.D. students to present their research activity and contact other people in the rese

  • 2007 Ph.D. Research in Microelectronics and Electronics (PRIME)

    The purpose of this conference is to encourage favourable exposure to Ph.D. students in the early stage of their career and to benchmark Ph.D. research in a friendly and cooperative environment. It will also enable sharing of Ph.D. and supervisors experience on scientific research and create at the Company Fair a connection between academic world (Ph.D. students) and companies.

  • 2006 Ph.D. Research in Microelectronics and Electronics (PRIME)

  • 2005 Ph.D. Research in Microelectronics and Electronics (PRIME)


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


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Periodicals related to Computed tomography

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Electron Device Letters, IEEE

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronic devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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Most published Xplore authors for Computed tomography

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Xplore Articles related to Computed tomography

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CT Reconstruction from Limited-View Cone-Beam Projections Using 3D Image Moments

Kaikai Xu; Xiubin Dai 2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017

Limiting the views of cone-beam CT scan can effectively reduce the damage to the human's health brought by X-rays when taking CT examination. However, the CT images reconstructed from the limited-view cone-beam projections will degrade greatly. To improve the quality of the reconstructed images when the cone-beam projections are incomplete, this paper proposes a new method by using 3D image ...


A respiration correction method for real-time ultrasound image fusion with pre-acquired 3D dataset

Lei Zhu; Minglei Yang; Jingang Kang; Hui Ding; Guangzhi Wang 2013 IEEE International Conference on Medical Imaging Physics and Engineering, 2013

Ultrasound image fusion has been widely used in interventional surgeries, providing surgeons both detailed structural information via CT/MRI and real- time ultrasound information. However, patient respiration induced quasi- periodic organ motion usually leads to unacceptable registration and fusion errors. In this paper, we propose a method to build a patient specific respiratory motion model and make respiration displacement correction accordingly. ...


Segmentation of Complicated Liver Lesion Based on Local Multiphase Level Set

Zhaohui Luo; Xiaoming Wu; Renjing Cen; Shanxing Ou 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final ...


Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge; Camille Kurtz; Christopher Beaulieu; Sandy Napel; Daniel Rubin IEEE Transactions on Medical Imaging, 2014

We describe a framework to model visual semantics of liver lesions in CT images in order to predict the visual semantic terms (VST) reported by radiologists in describing these lesions. Computational models of VST are learned from image data using linear combinations of high-order steerable Riesz wavelets and support vector machines (SVM). In a first step, these models are used ...


Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems

J. W. Stayman; J. A. Fessler IEEE Transactions on Medical Imaging, 2004

Imaging systems that form estimates using a statistical approach generally yield images with nonuniform resolution properties. That is, the reconstructed images possess resolution properties marked by space-variant and/or anisotropic responses. We have previously developed a space-variant penalty for penalized-likelihood (PL) reconstruction that yields nearly uniform resolution properties . We demonstrated how to calculate this penalty efficiently and apply it to ...


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Educational Resources on Computed tomography

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eLearning

CT Reconstruction from Limited-View Cone-Beam Projections Using 3D Image Moments

Kaikai Xu; Xiubin Dai 2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017

Limiting the views of cone-beam CT scan can effectively reduce the damage to the human's health brought by X-rays when taking CT examination. However, the CT images reconstructed from the limited-view cone-beam projections will degrade greatly. To improve the quality of the reconstructed images when the cone-beam projections are incomplete, this paper proposes a new method by using 3D image ...


A respiration correction method for real-time ultrasound image fusion with pre-acquired 3D dataset

Lei Zhu; Minglei Yang; Jingang Kang; Hui Ding; Guangzhi Wang 2013 IEEE International Conference on Medical Imaging Physics and Engineering, 2013

Ultrasound image fusion has been widely used in interventional surgeries, providing surgeons both detailed structural information via CT/MRI and real- time ultrasound information. However, patient respiration induced quasi- periodic organ motion usually leads to unacceptable registration and fusion errors. In this paper, we propose a method to build a patient specific respiratory motion model and make respiration displacement correction accordingly. ...


Segmentation of Complicated Liver Lesion Based on Local Multiphase Level Set

Zhaohui Luo; Xiaoming Wu; Renjing Cen; Shanxing Ou 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final ...


Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge; Camille Kurtz; Christopher Beaulieu; Sandy Napel; Daniel Rubin IEEE Transactions on Medical Imaging, 2014

We describe a framework to model visual semantics of liver lesions in CT images in order to predict the visual semantic terms (VST) reported by radiologists in describing these lesions. Computational models of VST are learned from image data using linear combinations of high-order steerable Riesz wavelets and support vector machines (SVM). In a first step, these models are used ...


Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems

J. W. Stayman; J. A. Fessler IEEE Transactions on Medical Imaging, 2004

Imaging systems that form estimates using a statistical approach generally yield images with nonuniform resolution properties. That is, the reconstructed images possess resolution properties marked by space-variant and/or anisotropic responses. We have previously developed a space-variant penalty for penalized-likelihood (PL) reconstruction that yields nearly uniform resolution properties . We demonstrated how to calculate this penalty efficiently and apply it to ...


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IEEE-USA E-Books

  • Tracheal Tissue Engineering

    We provide a description of the structure and function of the mammalian trachea. This is followed by a discussion of medical conditions and current treatment modalities. We then provide specific examples of tissue engineering as it applies to fabricating the trachea.

  • Image¿¿¿Guided Intervention and Therapy: The First Time Right

    Image¿¿¿guided targeted therapy delivery is possible through local administration of drugs, or by precise local delivery of energy to the tumor. These procedures require again smaller and smarter interventional instruments that can be controlled with a high level of precision, such as a photonically enhanced biopsy needles that can discriminate between tissue types. Informatics solutions and healthcare transformation services play an important role in enabling this evolution. The faster recovery and shorter hospital stays has helped to reduce the burden of cardiovascular disease (CVD) on the healthcare system. Treatment selection is determined after histopathology and increasingly after additional molecular diagnostics. Apart from surgery and chemotherapy, radiotherapy is an important option in cancer treatment. This chapter discusses the impact of imaging on the diagnostic and therapeutic stages of the world's most common diseases that have an unprecedented impact on the modern societies.

  • Intravascular MR Antennas: Loops and Solenoids

    This chapter contains sections titled: Introduction MRI Intravascular MR Antennas MR Antenna Model Antenna Evaluation In Vitro Testing Antenna Synthesis Safety Aspects Conclusions Appendix 2.A. Biot-Savart Law for Quasi‐Static Situation References



Standards related to Computed tomography

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Jobs related to Computed tomography

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