Conferences related to Neuropathology

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2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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 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


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.

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

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

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

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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.


2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)

The Eleventh International Conference on Advanced Computational Intelligence (ICACI2019) will be held in Guilin, China during June 7-9, 2019. ICACI2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2019 will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI Compendex and Scopus. Moreover, selected papers with extended version will be recommended to publish in special issues of related journals. The conference will favor papers representing advanced theories and innovative applications in computational intelligence.

  • 2010 Third International Workshop on Advanced Computational Intelligence (IWACI)

    IWACI2010 aims to explore advanced topics on computational intelligence covering the whole spectrum of the research fields. The workshop includes all topics on neural networks, fuzzy systems, and evolutionary computation.

  • 2011 Fourth International Workshop on Advanced Computational Intelligence (IWACI)

    The workshop includes all topics on neural networks, fuzzy systems, evolutionary computation, and their diverse applications. The workshop will favor papers representing advanced theories and innovative applications.

  • 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

    ICACI 2012 (formerly IWACI) aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. The proceedings of ICACI 2012 will be published by the IEEE and included by EI Compendex. The conference will favor papers representing advanced theories and innovative applications in computational intelligence.

  • 2013 Sixth International Conference on Advanced Computational Intelligence (ICACI)

    ICACI2013 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2013 will be published by the IEEE and included by EI Compendex. Moreover, selected papers will be published in special issues of related journals. The conference will favor papers representing advanced theories and innovative applications in computational intelligence. See more details at www. iwaci.org.

  • 2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)

    ICACI2015 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2015 will be submitted to the IEEExplore Database and EI Compendex. Moreover, selected papers will be published in special issues of related SCI journals. The conference will favor papers representing advanced theories and innovative applications incomputational intelligence.

  • 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)

    ICACI2016 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2016 will be submitted to the IEEE Xplore Database and to be indexed by EI Compendex. Moreover, selected papers will be published in special issues of related journals. The conference will favor papers representing advanced theories and innovative applications in computational intelligence.

  • 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)

    ICACI2016 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2016 will be submitted to the IEEE Xplore Database and to be indexed by EI Compendex. Moreover, selected papers will be published in special issues of related journals.

  • 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI )

    ICACI 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.



Periodicals related to Neuropathology

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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 ...


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.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.




Xplore Articles related to Neuropathology

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Robust supervised segmentation of neuropathology whole-slide microscopy images

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015

Alzheimer's disease is characterized by brain pathological aggregates such as Aβ plaques and neurofibrillary tangles which trigger neuroinflammation and participate to neuronal loss. Quantification of these pathological markers on histological sections is widely performed to study the disease and to evaluate new therapies. However, segmentation of neuropathology images presents difficulties inherent to histology (presence of debris, tissue folding, non- specific ...


A Statistical Modeling Approach for Tumor-Type Identification in Surgical Neuropathology Using Tissue Mass Spectrometry Imaging

IEEE Journal of Biomedical and Health Informatics, 2013

Current clinical practice involves classification of biopsied or resected tumor tissue based on a histopathological evaluation by a neuropathologist. In this paper, we propose a method for computer-aided histopathological evaluation using mass spectrometry imaging. Specifically, mass spectrometry imaging can be used to acquire the chemical composition of a tissue section and, hence, provides a framework to study the molecular composition ...


A data adaptive approach to the robust fitting of PET data: Application to group and test-retest analysis

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009

Model fitting of PET time activity curves (TACs) is typically accomplished according to the least squares (LS) criterion, which is optimal for data with Gaussian distributed errors, but not robust in the presence of outliers (e.g., head motion). In contrast, quantile regression (QR) is an alternative for robust fitting that provides estimates not heavily influenced by outliers only losing a ...


Support Vector Machines for Computer Assisted Diagnostic Neuropathology

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006

This work describes research towards computerassisted diagnostic neuropathology using support vector machines. The system processes digital photomicrographs in three phases: image preprocessing, feature extraction and classification. Compactness, fractal dimensions and co-occurrence matrices were used to generate a feature vector and then three different kernels were used for support vector machine classification. The results showed an increase in the system’s performance ...


Wavelet analysis of gene expression (WAGE)

2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821), 2004

The wavelet transform (WT) is the mathematical operator of choice for the analysis of nonstationary signals. At the same time, it is also a modelling operator that may be used to impose functional constraints on data to unveil hidden groupings and relationships. In this work, we apply the WT to the chromosomal sequences of gene expression values measured with microarray ...



Educational Resources on Neuropathology

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Neuropathology"

IEEE-USA E-Books

  • Robust supervised segmentation of neuropathology whole-slide microscopy images

    Alzheimer's disease is characterized by brain pathological aggregates such as Aβ plaques and neurofibrillary tangles which trigger neuroinflammation and participate to neuronal loss. Quantification of these pathological markers on histological sections is widely performed to study the disease and to evaluate new therapies. However, segmentation of neuropathology images presents difficulties inherent to histology (presence of debris, tissue folding, non- specific staining) as well as specific challenges (sparse staining, irregular shape of the lesions). Here, we present a supervised classification approach for the robust pixel-level classification of large neuropathology whole slide images. We propose a weighted form of Random Forest in order to fit nonlinear decision boundaries that take into account class imbalance. Both color and texture descriptors were used as predictors and model selection was performed via a leave-one-image-out cross-validation scheme. Our method showed superior results compared to the current state of the art method when applied to the segmentation of Aβ plaques and neurofibrillary tangles in a human brain sample. Furthermore, using parallel computing, our approach easily scales-up to large gigabyte-sized images. To show this, we segmented a whole brain histology dataset of a mouse model of Alzheimer's disease. This demonstrates our method relevance as a routine tool for whole slide microscopy images analysis in clinical and preclinical research settings.

  • A Statistical Modeling Approach for Tumor-Type Identification in Surgical Neuropathology Using Tissue Mass Spectrometry Imaging

    Current clinical practice involves classification of biopsied or resected tumor tissue based on a histopathological evaluation by a neuropathologist. In this paper, we propose a method for computer-aided histopathological evaluation using mass spectrometry imaging. Specifically, mass spectrometry imaging can be used to acquire the chemical composition of a tissue section and, hence, provides a framework to study the molecular composition of the sample while preserving the morphological features in the tissue. The proposed classification framework uses statistical modeling to identify the tumor type associated with a given sample. In addition, if the tumor type for a given tissue sample is unknown or there is a great degree of uncertainty associated with assigning the tumor type to one of the known tumor models, then the algorithm rejects the given sample without classification. Due to the modular nature of the proposed framework, new tumor models can be added without the need to retrain the algorithm on all existing tumor models.

  • A data adaptive approach to the robust fitting of PET data: Application to group and test-retest analysis

    Model fitting of PET time activity curves (TACs) is typically accomplished according to the least squares (LS) criterion, which is optimal for data with Gaussian distributed errors, but not robust in the presence of outliers (e.g., head motion). In contrast, quantile regression (QR) is an alternative for robust fitting that provides estimates not heavily influenced by outliers only losing a little efficiency, relative to LS, when no outliers are present. A data adaptive (DA) approach, relying on the rationale that QR should be used when outliers are present and LS otherwise, chooses LS or QR based solely on the observed TAC by measuring the influentiality of each TAC point and using QR when the maximum influentiality among the TAC points is higher than a given threshold. We first compare the results of applying DA to those using LS on a group of 24 healthy controls studied with [<sup>11</sup>C]-DASB to investigate whether DA improves the accuracy of parameter estimates. We also studied the application of DA to a test-retest data set of 11 controls to determine whether DA improves test-retest reproducibility. DA decreases the standard deviation (SD) of the radioligand distribution volume (V<sub>T</sub>) (relative improvement range: 0.12% -2.59%), while keeping the within-group average V<sub>T</sub> values almost unchanged. This ~2.5% decrease in SD would result in a ~5% decrease in the number of subjects needed to maintain the same statistical power when doing group comparisons. For the test-retest data, DA reduces the V<sub>T</sub> percent difference (PD) by 0.01%-4.39% in 63% of the regions for the majority of test-retest pairs. The practical import of this reduction in the SD and PD, achievable by simply implementing a different fitting approach, is smaller required sample size to detect differences between groups and enhanced test-retest experiments reproducibility (i.e. improved sensitivity in occupancy studies)

  • Support Vector Machines for Computer Assisted Diagnostic Neuropathology

    This work describes research towards computerassisted diagnostic neuropathology using support vector machines. The system processes digital photomicrographs in three phases: image preprocessing, feature extraction and classification. Compactness, fractal dimensions and co-occurrence matrices were used to generate a feature vector and then three different kernels were used for support vector machine classification. The results showed an increase in the system&#146;s performance when a combination of features was used rather than a single feature, with best results obtained for combination of all three features. Despite limited data, the results were promising, suggesting that this approach is worth exploring further.

  • Wavelet analysis of gene expression (WAGE)

    The wavelet transform (WT) is the mathematical operator of choice for the analysis of nonstationary signals. At the same time, it is also a modelling operator that may be used to impose functional constraints on data to unveil hidden groupings and relationships. In this work, we apply the WT to the chromosomal sequences of gene expression values measured with microarray technology. The application of the wavelet operator aims to uncover clusters of genes that interact by vicinity, either because of a shared regulatory mechanism or because of common susceptibility to environmental factors. Application of the method to data on the expression of human brain genes in neuro-degeneration validates the technique and, at the same time, illustrates the potential of the method.

  • Neuropathology In Rats Exposed To Pulsed And Continuous-wave RF Radiation: A Preliminary Study

    None

  • Non-invasive quantification of brain [<sup>18</sup>F]-FDG uptake by combining medical health records and dynamic PET imaging data

    Quantification of regional cerebral metabolic rate of glucose (rCMRglu) via positron emission tomography (PET) imaging requires measuring the arterial input function (AIF) via invasive arterial blood sampling. In this study we describe a non-invasive approach, the non-invasive simultaneous estimation (nSIME), for the estimation of rCMRglu that considers a pharmacokinetic input function model and constraints derived from machine learning applied to a fusion of individual medical health records and dynamic [18F]-FDG-PET brain images data. The results obtained with our data indicate potential for future clinical application of nSIME, with correlation measures of 0.87 for rCMRglu compared to quantification with full arterial blood sampling.

  • Dissociations in Processing Past Tense Morphology: Neuropathology and Behavioral Studies

    Neuropsychological research showing that the regular (“jump–jumped”) and irregular (“drive/drove”) past tense inflectional morphology can dissociate following brain damage has been important in testing claims about the cognitive and neural status of linguistic rules. These dissociations have been interpreted as evidence for two different computational systems—a rule-based system underlying the processing of regulars and the irregulars being individually listed in the mental lexicon. In contrast, connectionist accounts claim that these dissociations can be modeled within a single system. Combining behavioral data from patients with detailed information about their neuropathology can, in principle, provide strong constraints on accounts of the past tense. In this study, we tested five nonfluent aphasic patients, all of whom had extensive left hemisphere (LH) damage involving the left inferior frontal gyrus and underlying structures, and four patients with semantic deficits following herpes simplex encephalitis (HSE) who had extensive damage to the inferior temporal cortex. These patients were tested in experiments probing past tense processing. In a large priming study, the nonfluent patients showed no priming for the regular past tense but significant priming for the irregulars (whereas controls show priming for both). In contrast, the HSE patients showed significantly impaired performance for the irregulars in an elicitation task. These patterns of behavioral data and neuropathology suggest that two separable but interdependent systems underlie processing of the regular and irregular past tense.

  • Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy

    We report an automated method for characterization of microvessel morphology in micrographs of brain tissue sections to enable the facile, quantitative analysis of vascular differences across large datasets consisting of hundreds of images with thousands of blood vessel objects. Our objective is to show that virtual 3D parametric models of vasculature are adequately capable of representing the morphology of naturally acquired data in neuropathology. In this work, we focus on three distinct morphologies that are most frequently observed in formalin-fixed, paraffin-embedded (FFPE) human brain tissue samples: single blood vessels showing no (or collapsed) significant lumen (“RoundLumen-”); single blood vessels with distinct lumen (“RoundLumen+”); two blood vessels bundled together in close proximity (“Twins”). The analysis involves extraction of features using pre-trained convolutional neural networks. A hierarchical classification is performed to distinguish single blood vessels (RoundLumen) from Twins; followed by a more granular classification between RoundLumen- and RoundLumen+. A side-by-side comparison of the virtual and natural data models is presented. We observed that classification models built on the virtual data perform well achieving accuracies of 92.8% and 98.3% for the two aforementioned classification tasks respectively.

  • The Image Registration of TME Biomedical Images in variant Creutzfeldt-Jakob Diseases

    This work was intended as an attempt to more global approach to the issue dealing with heuristic image matching (more complex images registration and landmarks arrangement). Proposed methodology is suitable for biomedical images congruencing of high-resolution images and large images size. The 2-D filter suitable to image features detection using reformulated stretched-Gabor wavelet has been presented. The additional over generated neighbouring feature points reduction algorithm has been also developed. The novel solution of generated landmarks coherences has been achieved by application of proposed feature points matching using similarity comparisons of triangles; they are build on the image feature points



Standards related to Neuropathology

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No standards are currently tagged "Neuropathology"