Neuroimaging

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Neuroimaging includes the use of various techniques to either directly or indirectly image the structure, function/pharmacology of the brain. (Wikipedia.org)






Conferences related to Neuroimaging

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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 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.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


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Periodicals related to Neuroimaging

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


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 Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Xplore Articles related to Neuroimaging

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Objetive assessment of olfactory function using functional magnetic resonance (fMRI)

2009 IEEE International Workshop on Medical Measurements and Applications, 2009

In this work, a device for generating automated olfactory stimuli in functional magnetic resonance imaging (fMRI) studies is described. The novel issues of our design are: synchronization between the acquisition and the olfactory task, automated control of experimental parameters (odorants sequences, frequency, time and concentration of stimuli). Finally, we present the preliminary results obtained on a General Electric 3 Tesla ...


Improving Sparse Recovery on Structured Images with Bagged Clustering

2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

The identification of image regions associated with external variables through discriminative approaches yields ill-posed estimation problems. This estimation challenge can be tackled by imposing sparse solutions. However, the sensitivity of sparse estimators to correlated variables leads to non- reproducible results, and only a subset of the important variables are selected. In this paper, we explore an approach based on bagging ...


Development of a TOF detector for brain PET

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2014

Summary form only given. A positron emission tomography (PET) detector for neuro-imaging is required to have high signal-to-noise ratio (SNR) as well as high spatial resolution. Time-of-flight (TOF) information can improve SNR of PET by localizing a positron annihilation point. The purpose of this study is to develop a TOF detector for brain PET having spatial resolution ≤ 2 mm ...


Brain Activities during 3-D Structure Perception from 2-D Motion as Assessed by Combined MEG/fMRI Techniques

2007 IEEE/ICME International Conference on Complex Medical Engineering, 2007

Recent neuroimaging studies suggest the involvement of the parieto-occipital, the intraparietal, and the ventral inferior-temporal regions in the 3-D object perception from 2-D retinal motion (3D-SFM: 3-D structure-from-motion), however, the neural dynamics underlying the 3D-SFM is not fully understood. Here, we used both the neuromagnetic (MEG) and the hemodynamic (fMRI) measurements to visualize the spatiotemporal brain dynamics during 3-D SFM. ...


Software development for neuroimaging: Promoting community access and best practices through NITRC

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009

The Neuroimaging Informatics Tools and Resources Clearinghouse, NITRC, is a resource for organizing knowledge about the publicly available resources for neuroimaging. Located at www.nitrc.org, it is based on GForge, and brings a common environment for downloading, discussion, education, rating, and documentation for a growing number of resources. Moreover, NITRC provides a platform to support dasiabest practicespsila in software engineering and ...


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Educational Resources on Neuroimaging

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IEEE-USA E-Books

  • Objetive assessment of olfactory function using functional magnetic resonance (fMRI)

    In this work, a device for generating automated olfactory stimuli in functional magnetic resonance imaging (fMRI) studies is described. The novel issues of our design are: synchronization between the acquisition and the olfactory task, automated control of experimental parameters (odorants sequences, frequency, time and concentration of stimuli). Finally, we present the preliminary results obtained on a General Electric 3 Tesla MRI scanner belong to The Alzheimer Project of the Fundacion Reina Sofia.

  • Improving Sparse Recovery on Structured Images with Bagged Clustering

    The identification of image regions associated with external variables through discriminative approaches yields ill-posed estimation problems. This estimation challenge can be tackled by imposing sparse solutions. However, the sensitivity of sparse estimators to correlated variables leads to non- reproducible results, and only a subset of the important variables are selected. In this paper, we explore an approach based on bagging clustering- based data compression in order to alleviate the instability of sparse models. Specifically, we design a new framework in which the estimator is built by averaging multiple models estimated after feature clustering, to improve the conditioning of the model. We show that this combination of model averaging with spatially consistent compression can have the virtuous effect of increasing the stability of the weight maps, allowing a better interpretation of the results. Finally, we demonstrate the benefit of our approach on several predictive modeling problems.

  • Development of a TOF detector for brain PET

    Summary form only given. A positron emission tomography (PET) detector for neuro-imaging is required to have high signal-to-noise ratio (SNR) as well as high spatial resolution. Time-of-flight (TOF) information can improve SNR of PET by localizing a positron annihilation point. The purpose of this study is to develop a TOF detector for brain PET having spatial resolution ≤ 2 mm and CTR ≤ 330 ps. PET detector module consisted of a 6 × 6 array of LYSO scintillators and a 4 × 4 array of 3 × 3 mm2MPPCs. The cross-sectional area of the individual scintillators was chosen to have 2 × 2 mm2to obtain high spatial resolution. The length of the scintillator (20 mm) was designed to reduce the light propagation delay for TOF while maintaining high stopping power for 511 keV gamma-rays. Capacitive charge division (CCD) network was used to identify the position of gamma event. Because the rise time of its outputs is not severely degraded compared with that of individual anode outputs, it has better timing performance than other multiplexing methods such as resistive charge division method. In the CCD network, anodes of the MPPC array were connected to capacitors having different capacitances according to their position. The flood histogram of the detector module was successfully obtained and all LYSO crystals in the detector module were clearly identified. The average energy resolution of the detector module at 511 keV was 15.4 ± 0.9%. The best CTR of the detector was 303 ± 14 ps FWHM allowing to achieve twice SNR gain compared to that of the standard PET.

  • Brain Activities during 3-D Structure Perception from 2-D Motion as Assessed by Combined MEG/fMRI Techniques

    Recent neuroimaging studies suggest the involvement of the parieto-occipital, the intraparietal, and the ventral inferior-temporal regions in the 3-D object perception from 2-D retinal motion (3D-SFM: 3-D structure-from-motion), however, the neural dynamics underlying the 3D-SFM is not fully understood. Here, we used both the neuromagnetic (MEG) and the hemodynamic (fMRI) measurements to visualize the spatiotemporal brain dynamics during 3-D SFM. The coherence of the random-dot motion stimuli was parametrically controlled, which made us possible to infer the changes of the brain activities between the different 3-D object perception conditions. The results of the fMRI analysis were used to impose plausible constraints on the MEG inverse calculation using the 'weighted' minimum-norm approach to improve spatial resolution of the spatiotemporal activity estimates. The inferior-temporal, the parieto-occipital, and the intraparietal regions showed increased neural activity in the highly coherent motion conditions in which subjects perceived robust 3-D object structure at different latencies. The results indicate that these regions play an important role in the perception of 3-D object structure from retinal motion. These results are in agreement with the previous fMRI studies and add further insight into the temporal dynamics of the neural activities in the multiple brain regions along both the dorsal and the ventral visual processing streams during 3D-SFM.

  • Software development for neuroimaging: Promoting community access and best practices through NITRC

    The Neuroimaging Informatics Tools and Resources Clearinghouse, NITRC, is a resource for organizing knowledge about the publicly available resources for neuroimaging. Located at www.nitrc.org, it is based on GForge, and brings a common environment for downloading, discussion, education, rating, and documentation for a growing number of resources. Moreover, NITRC provides a platform to support dasiabest practicespsila in software engineering and helps to remove barriers that have limited software sharing in the past. We present its design and status, and report on its uses not only to promote software, but also to foster communities of users that promote technological advances specific domain topics. Resources for neuroanatomic segmentation of structural MRI and functional connectivity analysis in fMRI are used as case studies.

  • Hypnosis analysis by means of Similarity Index method

    The analysis of EEG signals plays an important role in a wide range of applications, such as sleep studies, seizure detection and hypnosis processing. Changes in different EEG frequencies have already been reported in association with hypnosis; however, it is difficult to compare different studies with each other because of methodological differences as well as different criteria when selecting subjects for experiments. EEG during hypnosis would differ from the normal non-hypnotic EEG. In this paper we accomplish to analyze the nature of hypnosis and three different tasks with three groups of hypnotizable subjects by means of Fuzzy Similarity Index method.

  • Investigation of Obsessive Compulsive Disorder with FFT Dipol Approximation by means of EEG

    EEG analysis has been used in pathophysiological research of Obsessive Compulsive Disorder (OCD) that is one of the neuropsychiatric disease. EEG abnormalities was observed in brain cortex of patients with OCD. Fast Fourier Transform (FFT) Dipol Approximation Method (FFTDA), used for source localization and superior to conventional FFT method, has also been used for measurement of the level of EEG synchronization. In this research, phase differences between cortical neural oscillations was computed by using FFTDA Then, analysis of 19 channel EEG series, collected with international 10-20 electrode placement system, shows the loss of Theta band phase synchronization in patients with OCD..

  • Localisation of Epileptic Seizures by - A Novel Technique Topographical Brain Electric Activity Mapping

    Epileptic seizures are a principal brain dysfunction with important public health implications as they affect 0.8% of humans. Different methods of neuro imaging may be employed for investigation of epileptic seizures. An interesting question is to localize the region of epileptiform for a more precise diagnosis of brain dysfunction. The localization of cortical functions by non-invasive technique is rapidly becoming a useful tool in pre-operative assessment of neurosurgical procedures for epilepsy, vascular malformations and brain tumor resections. The conventional method is to interpret EEG records by visual inspection, which depends upon recognizing common patterns and their association with normal or pathological conditions. A new novel technique has been developed for diagnosing the exact region and localization of the seizures by computing brain electrical activity mapping (BEAM) on a computer. The recorded EEG is stored as a data file. Color-coded maps are generated using software developed in Visual C++ and displayed on the screen. When computerized topographic maps were applied, the epileptogenic zones were identified. In the present study of 6 subjects the variation were found in the frontal, temporal, parietal and occipital regions for generalized epileptic seizures. This study provides results in interpreting and localizing the epileptic seizures. This can be implemented in all neurological laboratories when better investigation and interpretation of normal and abnormal patient brain activities with BEAM technique is concerned.

  • Brain warping with implicit representations

    In this paper, a new framework for brain warping via landmark matching is proposed using implicit representations or the level set method. We demonstrate this powerful technique by matching landmark curves identified on brain surfaces. Each landmark curve to be matched is represented by the intersection of the zero level sets of two level set functions. A diffeomorphic mapping from the template to the target image is then generated by solving a non-linear Euler transport equation with a semi-Lagrangian formulation for the corresponding level set functions. This representation technique has applications in mapping growth processes, recovering intra- operative brain deformation, and integrating and comparing brain imaging data across subjects and groups.

  • Large-scale neuroanatomical visualization using a manifold embedding approach

    We present a unified framework for data processing, mining and interactive visualization of large-scale neuroanatomical databases. The input data is assumed to lie in a specific atlas space, or simply exist as a separate collection. Users can specify their own atlas for comparative analyses. The original data exist as MRI images in standard formats. It is uploaded to a remote server and processed offline by a parallelized pipeline workflow. This workflow transforms the data to represent it as both volumetric and triangular mesh cortical surfaces. We use multiresolution representations to scale complexity to data storage availability as well as graphical processing performance. Our workflow implements predefined metrics for clustering and classification, and data projection schemes to aid in visualization. Additionally the system provides a visual query interface for performing selection requests based on user-defined search criteria.



Standards related to Neuroimaging

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No standards are currently tagged "Neuroimaging"