Brain mapping

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Brain mapping is a set of neuroscience techniques predicated on the mapping of (biological) quantities or properties onto spatial representations of the (human or non-human) brain resulting in maps. (Wikipedia.org)






Conferences related to Brain mapping

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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 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 Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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 Brain mapping

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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.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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; ...


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


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Most published Xplore authors for Brain mapping

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Xplore Articles related to Brain mapping

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MR cranial image segmentation-a morphological and clustering approach

Proceeding of Southwest Symposium on Image Analysis and Interpretation, 1996

Computer-aided visualization of the brain surface has numerous applications in structural and functional brain mapping for neuroscience, as well as in surgical path planning. Surface visualization of the brain using magnetic resonance (MR) images requires pixels in the images to be discriminated, or segmented into various tissue types. In this work, an automated and efficient method, based on mathematical morphology ...


A Parallel Implementation Of Interpolation Algorithms For EEG Potentials

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 1991

None


Two-level model averaging techniques in Drosophila brain imaging

Proceedings. International Conference on Image Processing, 2002

For molecular brain mapping research, a reference template is necessary for integration of experimental data from different laboratories. However, the concept of the conventional brain atlas cannot provide such a reference template that fulfills our requirements. We propose a specific algorithm for model averaging to construct a 3D reference template. It extracts the geometric information of all data sets by ...


Proposal of a three-dimensional brain mapping system based on the quantitative analysis of the electroencephalographic signal

5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 2014

Because of the evolution of technology and consequently, the development of advanced techniques, related to signal analysis and digitalization, has increased the use of data from brain electrical activity in clinical analysis and in researches, for example, with the use of the quantitative electroencephalography (EEGq). This is based in techniques of digital signal processing, such as, statistical analysis, transforming to ...


A Comparison of Regularization Techniques for Magnetoencephalography Source Reconstruction

IEEE Transactions on Magnetics, 2010

In this paper, the abilities of the generalized cross validation (GCV) method and the L-curve method for the determination of the optimal regularization parameter are studied and compared for magnetoencephalography (MEG) source reconstruction. The results verify that the GCV method is a better choice when the measurement noise is relatively high, and the L-curve method seems to be more effective ...


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Educational Resources on Brain mapping

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IEEE-USA E-Books

  • MR cranial image segmentation-a morphological and clustering approach

    Computer-aided visualization of the brain surface has numerous applications in structural and functional brain mapping for neuroscience, as well as in surgical path planning. Surface visualization of the brain using magnetic resonance (MR) images requires pixels in the images to be discriminated, or segmented into various tissue types. In this work, an automated and efficient method, based on mathematical morphology and unsupervised clustering analysis, is proposed for segmenting 3-D MR images of the human head. The proposed method provides better rendered views of the brain surface with much less computation time, compared to a previous, direct fuzzy-based approach. The resulting rendered views of the brain surface are shown, as well as the efficiency and error analysis of the proposed methodology.

  • A Parallel Implementation Of Interpolation Algorithms For EEG Potentials

    None

  • Two-level model averaging techniques in Drosophila brain imaging

    For molecular brain mapping research, a reference template is necessary for integration of experimental data from different laboratories. However, the concept of the conventional brain atlas cannot provide such a reference template that fulfills our requirements. We propose a specific algorithm for model averaging to construct a 3D reference template. It extracts the geometric information of all data sets by reconstructing the individual wireframe models, and extracts their skeletons for determining the average skeleton. Large-scale averaged models, pseudoaverage models, can be obtained by warping the individual models toward the average skeleton. The final average model can be yielded after a small-scale model averaging procedure that determines the geometric median of pseudoaverage models. In contrast with other algorithms, our algorithm allows more severe variations because of its two-level hierarchy.

  • Proposal of a three-dimensional brain mapping system based on the quantitative analysis of the electroencephalographic signal

    Because of the evolution of technology and consequently, the development of advanced techniques, related to signal analysis and digitalization, has increased the use of data from brain electrical activity in clinical analysis and in researches, for example, with the use of the quantitative electroencephalography (EEGq). This is based in techniques of digital signal processing, such as, statistical analysis, transforming to the frequency domain, prediction and others. The topographic quantitative EEG (EEGQT) allows the creation of a scalp image showing the activity in many regions of the brain based on the quantitative analysis of the EEG signal. It gives an accurate graphical vision of the electrical activity, as well their localizations and alterations. The existing EEGQT software is based on the signal analysis on the frequency domain and gives a two-dimensional vision of the cortical activity. To obtain a more reliable EEGQT in real time, it would be important a three-dimensional mapping of the cortex. The main objective of this work is to present a proposal of architecture of a computational system capable to generate a three-dimensional brain mapping based not only on the frequency domain analysis, but in other characteristics of the EEG signals, such as, the similarity, stationarity, frequency, entropy and the signal linearity.

  • A Comparison of Regularization Techniques for Magnetoencephalography Source Reconstruction

    In this paper, the abilities of the generalized cross validation (GCV) method and the L-curve method for the determination of the optimal regularization parameter are studied and compared for magnetoencephalography (MEG) source reconstruction. The results verify that the GCV method is a better choice when the measurement noise is relatively high, and the L-curve method seems to be more effective when the source is mainly dominated by errors such as brain perturbation.

  • A 3-D interactive editor for brain cortical sulcal anatomy labelling

    We propose a 3D interactive editor dedicated to the anatomical labelling of the cortex of the human brain. The labelling process essentially consists in the delineation and identification of the folds (or sulci) that appears at the surface of the cortex. Our tool relies on a structured set of automatically segmented objects which are the interstitial spaces contained within the folds of the cortex. We propose an interface which makes available interactions with both our structured set and the actual data being displayed along with various incidences or renderings. The tool assists the neuroanatomy expert for the identification task of the cortex and makes possible the creation of a cortex database.<<ETX>>

  • The Center for Computational Biology

    None

  • Surface Laplacian with spline and nearest neighbour interpolations for topographic brain mapping

    In the construction of topographic maps from the EEG, the Laplacian (or Source Derivation) operation improves the localisation of sources, by reducing the smearing effect in conducting layers of the head. Due to the use of a limited number of electrodes, interpolation techniques are employed either before or after applying the Laplacian. In the present work, two such approaches, Spline interpolation followed by Laplacian and Laplacian followed by four nearest neighbour interpolation, are applied to scalp potential distributions derived from simulated dipole sources. The results prove both approaches to be similarly effective in demonstrating the presence of multiple dipoles.

  • Analysis of ER-fMRI time series with modified mother wavelet

    Investigating the shape and time to a peak, called the HR delay, of hemodynamic response (HR) gives a novel tool to analyze human brain function. We have previously proposed an analysis method for detecting activated areas and measuring HR delay simultaneously. We improve the performance of the method by modifying a mother wavelet. The modified mother wavelet is based on an HR function defined mathematically by the SPM (statistical parametric mapping) software by K.J. Friston et al. (see Human Brain Mapping, vol.2, p.189-210, 1995). To evaluate the proposed method, it and conventional methods are applied to phantom data and data from human subjects. The results indicate that the proposed method could detect activated areas equivalent to those found by conventional methods, and more accurately.

  • Topographic Brain Mapping Of EEG Signals After Source Derivation

    None



Standards related to Brain mapping

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