Multiple sclerosis

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Multiple sclerosis (abbreviated MS, also known as disseminated sclerosis or encephalomyelitis disseminata) is an inflammatory disease in which the fatty myelin sheaths around the axons of the brain and spinal cord are damaged, leading to demyelination and scarring as well as a broad spectrum of signs and symptoms. (Wikipedia.org)






Conferences related to Multiple sclerosis

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


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)


2019 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 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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.

  • 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.

  • 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)


2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


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Periodicals related to Multiple sclerosis

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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.


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.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


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Most published Xplore authors for Multiple sclerosis

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Xplore Articles related to Multiple sclerosis

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VEP As A Response Of The Visual System To Pattern Convergence

[{u'author_order': 1, u'affiliation': u'Rutgers University', u'authorUrl': u'https://ieeexplore.ieee.org/author/38274967200', u'full_name': u'N. Cottaris', u'id': 38274967200}, {u'author_order': 2, u'full_name': u'R. Iezzi'}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/38270614000', u'full_name': u'E. Micheli-Tzanakou', u'id': 38270614000}] [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990

None


A paradigm shift for rehabilitation robotics

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37299435200', u'full_name': u'Hermano I. Krebs', u'id': 37299435200}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37550208100', u'full_name': u'Laura Dipietro', u'id': 37550208100}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/38352598000', u'full_name': u'Shelly Levy-Tzedek', u'id': 38352598000}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37330251100', u'full_name': u'Susan E. Fasoli', u'id': 37330251100}, {u'author_order': 5, u'authorUrl': u'https://ieeexplore.ieee.org/author/38366368400', u'full_name': u'Avrielle Rykman-Berland', u'id': 38366368400}, {u'author_order': 6, u'authorUrl': u'https://ieeexplore.ieee.org/author/38289369700', u'full_name': u'Johanna Zipse', u'id': 38289369700}, {u'author_order': 7, u'authorUrl': u'https://ieeexplore.ieee.org/author/38280562900', u'full_name': u'Jennifer A. Fawcett', u'id': 38280562900}, {u'author_order': 8, u'authorUrl': u'https://ieeexplore.ieee.org/author/37408310900', u'full_name': u'Joel Stein', u'id': 37408310900}, {u'author_order': 9, u'authorUrl': u'https://ieeexplore.ieee.org/author/37322320700', u'full_name': u'Howard Poizner', u'id': 37322320700}, {u'author_order': 10, u'authorUrl': u'https://ieeexplore.ieee.org/author/38085374000', u'full_name': u'Albert C. Lo', u'id': 38085374000}, {u'author_order': 11, u'authorUrl': u'https://ieeexplore.ieee.org/author/37299436200', u'full_name': u'Bruce T. Volpe', u'id': 37299436200}, {u'author_order': 12, u'authorUrl': u'https://ieeexplore.ieee.org/author/37298867300', u'full_name': u'Neville Hogan', u'id': 37298867300}] IEEE Engineering in Medicine and Biology Magazine, 2008

Therapeutic robots enhance clinician productivity in facilitating patient recovery. In this article, we presented an overview of the remarkable growth in the activities in the area of therapeutic robotics and of experiences with our devices. We briefly review the published clinical literature in this emerging field and our initial clinical results in stroke. However, we also report our initial efforts ...


A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37427083700', u'full_name': u'A. Wismuller', u'id': 37427083700}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/38271935400', u'full_name': u'A. Meyer-Baese', u'id': 38271935400}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37448451000', u'full_name': u'J. Behrends', u'id': 37448451000}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37282540500', u'full_name': u'O. Lange', u'id': 37282540500}, {u'author_order': 5, u'authorUrl': u'https://ieeexplore.ieee.org/author/38306221400', u'full_name': u'M. Jukic', u'id': 38306221400}, {u'author_order': 6, u'authorUrl': u'https://ieeexplore.ieee.org/author/38265591100', u'full_name': u'M. Reiser', u'id': 38265591100}, {u'author_order': 7, u'authorUrl': u'https://ieeexplore.ieee.org/author/38340961800', u'full_name': u'D. Auer', u'id': 38340961800}] 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006., 2006

Automatic brain segmentation is an issue of specific clinical relevance in both diagnosis and therapy control of patients with demyelinating diseases such as multiple sclerosis (MS). We present a complete system for high- precision computer-assisted image analysis of multispectral MRI data based on a flexible machine learning approach. Careful quality evaluation shows that the system outperforms conventional threshold-based techniques w.r.t. ...


Proton magnetic resonance spectroscopic imaging of abnormal gray matter in multiple sclerosis

[{u'author_order': 1, u'affiliation': u'Dept. of Radiol., Texas Univ., Houston, TX, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37276218900', u'full_name': u'R. Sharma', u'id': 37276218900}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37294799000', u'full_name': u'P.A. Narayana', u'id': 37294799000}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37449632800', u'full_name': u'J.S. Wolinsky', u'id': 37449632800}] Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000, 2000

Proton magnetic resonance spectroscopic imaging (MRSI) of the brain was performed on 53 patients with clinically definite relapsing remitting multiple sclerosis (MS). The contributions of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) to the spectroscopic voxels were determined using either double inversion recovery magnetic resonance imaging or segmentation of affirmative images. In 13 patients additional peaks in ...


Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model

[{u'author_order': 1, u'affiliation': u'Dept. of Elec. & Comp. Eng., British Columbia Univ., Vancouver, BC, Canada', u'authorUrl': u'https://ieeexplore.ieee.org/author/37401557000', u'full_name': u'A. Huang', u'id': 37401557000}, {u'author_order': 2, u'affiliation': u'Dept. of Elec. & Comp. Eng., British Columbia Univ., Vancouver, BC, Canada', u'authorUrl': u'https://ieeexplore.ieee.org/author/37296738700', u'full_name': u'R. Abugharbieh', u'id': 37296738700}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37267823200', u'full_name': u'R. Tam', u'id': 37267823200}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37660931600', u'full_name': u'A. Traboulsee', u'id': 37660931600}] 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006., 2006

This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation of magnetic resonance imaging (MRI) scans. We combine both voxel probability and image gradient and curvature information for segmenting gray matter (GM) and white matter (WM) tissues. Both qualitative and quantitative results on synthetic ...


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Educational Resources on Multiple sclerosis

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eLearning

No eLearning Articles are currently tagged "Multiple sclerosis"

IEEE.tv Videos

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IEEE-USA E-Books

  • Body Tracking in Healthcare

    Within the context of healthcare, there has been a long-standing interest in understanding the posture and movement of the human body. Gait analysis work over the years has looked to articulate the patterns and parameters of this movement both for a normal healthy body and in a range of movement-based disorders. In recent years, these efforts to understand the moving body have been transformed by significant advances in sensing technologies and computational analysis techniques all offering new ways for the moving body to be tracked, measured, and interpreted. While much of this work has been largely research focused, as the field matures, we are seeing more shifts into clinical practice. As a consequence, there is an increasing need to understand these sensing technologies over and above the specific capabilities to track, measure, and infer patterns of movement in themselves. Rather, there is an imperative to understand how the material form of these technologies enables them also to be situated in everyday healthcare contexts and practices. There are significant mutually interdependent ties between the fundamental characteristics and assumptions of these technologies and the configurations of everyday collaborative practices that are possible them. Our attention then must look to social, clinical, and technical relations pertaining to these various body technologies that may play out in particular ways across a range of different healthcare contexts and stakeholders. Our aim in this book is to explore these issues with key examples illustrating how social contexts of use relate to the properties and assumptions bound up in particular choices of body-tracking technology. We do this through a focus on three core application areas in healthcare—assessment, rehabilitation, and surgical interaction—and recent efforts to apply body-tracking technologies to them.



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