Conferences related to Biological information theory

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Biological information theory

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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.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


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Most published Xplore authors for Biological information theory

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Xplore Articles related to Biological information theory

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Comments on "In which fields do we graze?" by de Rosa, L.

IRE Transactions on Information Theory, 1956

None


Using Shannon entropy and Kolmogorov complexity to study the language and intelligence of ants

Proceedings of 1994 IEEE International Symposium on Information Theory, 1994

Ant food searching activity requires information transmission which is quantitatively known to the experimentalist. The first series of experiments is based on the Shannon concept of information, and the second on Kolmogorov's concept of complexity. The first series makes it possible to estimate the rate of information transmission in ants, and the second series demonstrates ant ability for data compression.<<ETX>>


Comments on "In which fields do we graze?" by de Rosa, L.

IRE Transactions on Information Theory, 1956

None


Communication theory and molecular biology at the crossroads

IEEE Engineering in Medicine and Biology Magazine, 2006

This paper endeavors to explore ideas at the crossroads of communication theory and molecular biology from various disciplinary backgrounds and vantage points, providing an overview of the state of research and making compelling observations regarding the nature of biological information transmission in light of the principles of digital communication. The paper also focuses on whether evidence of coding theoretic properties ...


High Speed Visual Saliency Computation on GPU

2007 IEEE International Conference on Image Processing, 2007

Visual saliency analysis provides a power tool for many applications. In this paper, we propose a practical and high performance GPU-based visual saliency computational model. Several novel ideas are introduced for saliency computations, such as the feature extraction as signed difference values in the lab color space and the feature fusion based on the information theory. For our implementation on ...


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Educational Resources on Biological information theory

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IEEE-USA E-Books

  • Comments on "In which fields do we graze?" by de Rosa, L.

    None

  • Using Shannon entropy and Kolmogorov complexity to study the language and intelligence of ants

    Ant food searching activity requires information transmission which is quantitatively known to the experimentalist. The first series of experiments is based on the Shannon concept of information, and the second on Kolmogorov's concept of complexity. The first series makes it possible to estimate the rate of information transmission in ants, and the second series demonstrates ant ability for data compression.<<ETX>>

  • Comments on "In which fields do we graze?" by de Rosa, L.

    None

  • Communication theory and molecular biology at the crossroads

    This paper endeavors to explore ideas at the crossroads of communication theory and molecular biology from various disciplinary backgrounds and vantage points, providing an overview of the state of research and making compelling observations regarding the nature of biological information transmission in light of the principles of digital communication. The paper also focuses on whether evidence of coding theoretic properties exists in biology and if such evidence supports information or coding theory view of genetics. The successful development of biological information and coding can provide a theoretical basis for understanding, quantifying, and engineering error control in natural and synthesized biosystems. The intersection of communication theory and molecular biology could potentially yield a quantitative framework for engineering fault-tolerant genes, proteins, and genomes that approach an organism's communication capacity. Immediate applications of coding theory and coding theoretic principles to genomics are presented.

  • High Speed Visual Saliency Computation on GPU

    Visual saliency analysis provides a power tool for many applications. In this paper, we propose a practical and high performance GPU-based visual saliency computational model. Several novel ideas are introduced for saliency computations, such as the feature extraction as signed difference values in the lab color space and the feature fusion based on the information theory. For our implementation on the GPU, besides the programmable shaders we fully exploit other computational resources on the GPU to accelerate the computations. Our experimental results demonstrate the effectiveness of our saliency maps and indicate an order of magnitude speedup over the CPU-based implementation.

  • Protein structural class prediction by combining conditional probability with information content

    Protein structural class is the most basic and important classification of protein structures. The prediction technique of protein structural class has been developing for decades. Two popular methods, the amino acid frequency based methods and amino acid arrangement and long-term correlation based methods, were proposed in previous work. However, there are opposite advantages and disadvantages in these methods. The former concentrated on statistical analysis while the latter emphasized long-term and biologically significant research. In this paper, we proposed a new method combining probability and information theory with long-term correlation consideration. The results showed that advantages of both original methods were included in our method and the accuracy is much higher than in the traditional procedures.

  • Research on Knowledge Processing System Based on Simulating Actions of Creatures

    Through researching the patterns and mechanism of life behavior of some animals, a knowledge processing system with biologic action feature was suggested by this paper, and the autonomic and creative features of the system were described. Following the thought of artificial life, the system was based on the rules and features that come from investigating the intelligent actives and behaviors of some animals from the view of the epistemology and the information theory. By this, the paper try to give the knowledge processing system some capabilities distinguishing from traditional expert systems like self-learning, auto-growing and adaptive. A framework that consist of modules such as auto-fetch module, action controller, refresh module, adaptive human- computer interface, information storage module and so on was assumed. At the same time, the functions of each component of the system were discussed in detail. On the other hand, this paper also attention to the question how to accomplish the system. As a result, a hierarchy structure of the knowledge processing system was put forward, which included function layer, intelligent layer, appetent layer and the basic layer that lies the bottom of the whole structure.

  • Comments on "In which fields do we graze?" by de Rosa, L.

    None

  • Selecting features with genetic algorithm in handwritten digit recognition

    None

  • An information theoretic framework for genomic data analysis

    The breadth of biological data collected in the last decade has far outstripped the methods available to process it. To effectively investigate and explore this abundance of data, novel automated collection and analysis approaches must be devised. We have developed a new open software framework, the Open Genomic Analysis Platform (OGAP), to aid in the analysis of genomic data. It is capable of analyzing a variety of data source, and focuses on using information theory to characterize data. The frameworks has is capable of import a variety of genome tied data, and provides custom analysis and visualization of results. We then demonstrate the use of this framework analyzing the Prochlorococcus Marinus organism. We show a strong correlation between the information content of sequence data and up regulation of gene expression during lytic infection.



Standards related to Biological information theory

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Jobs related to Biological information theory

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