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arXiv 2020年

作者： Rahman, Tawsifur Khandakar, Amith Qiblawey, Yazan Tahir, Anas Kiranyaz, Serkan Kashem, Saad Bin Abul Islam, Mohammad Tariqul Maadeed, Somaya Al Zughaier, Susu M. Khan, Muhammad Salman Chowdhury, Muhammad E.H. Department of Biomedical Physics & Technology University of Dhaka Dhaka 1000 Bangladesh Department of Electrical Engineering Qatar University Doha2713 Qatar Faculty of Robotics and Advanced Computing Qatar Armed Forces‐Academic Bridge Program Qatar Foundation Doha24404 Qatar Dept. of Electrical Electronics and Systems Engineering Universiti Kebangsaan Malaysia BangiSelangor43600 Malaysia Department of Computer Science and Engineering Qatar University Doha2713 Qatar Department of Basic Medical Sciences College of Medicine Biomedical and Pharmaceutical Research Unit QU Health Qatar University Doha2713 Qatar University of Engineering and Technology Peshawar Pakistan

The use of computer-aided diagnosis in the reliable and fast detection of corona virus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the medical infrastructure. Chest X-ray (CXR) imaging has several advantages over other imaging techniques as it is cheap, easily accessible, fast and portable. CXR images are sometimes of poor quality and so image enhancement techniques can help the machine learning models to extract valuable discriminating features from the image. Numerous works have been reported on COVID-19 detection from smaller set of original X-ray images. However, the effect of image enhancement in COVID-19 detection was not reported in the literature. This paper explores the effect of various popular image enhancement techniques and states the © 2020, CC BY.

关键词： Image enhancement

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

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Physical Review D 2019年第2期99卷 023508-023508页

作者： E. J. Baxter Y. Omori C. Chang T. Giannantonio D. Kirk E. Krause J. Blazek L. Bleem A. Choi T. M. Crawford S. Dodelson T. F. Eifler O. Friedrich D. Gruen G. P. Holder B. Jain M. Jarvis N. MacCrann A. Nicola S. Pandey J. Prat C. L. Reichardt S. Samuroff C. Sánchez L. F. Secco E. Sheldon M. A. Troxel J. Zuntz T. M. C. Abbott F. B. Abdalla J. Annis S. Avila K. Bechtol B. A. Benson E. Bertin D. Brooks E. Buckley-Geer D. L. Burke A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. E. Cunha C. B. D’Andrea L. N. da Costa C. Davis J. De Vicente D. L. DePoy H. T. Diehl P. Doel J. Estrada A. E. Evrard B. Flaugher P. Fosalba J. Frieman J. García-Bellido E. Gaztanaga D. W. Gerdes R. A. Gruendl J. Gschwend G. Gutierrez W. G. Hartley D. Hollowood B. Hoyle D. J. James S. Kent K. Kuehn N. Kuropatkin O. Lahav M. Lima M. A. G. Maia M. March J. L. Marshall P. Melchior F. Menanteau R. Miquel A. A. Plazas A. Roodman E. S. Rykoff E. Sanchez R. Schindler M. Schubnell I. Sevilla-Noarbe M. Smith R. C. Smith M. Soares-Santos F. Sobreira E. Suchyta M. E. C. Swanson G. Tarle A. R. Walker W. L. K. Wu J. Weller Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall Stanford California 94305 Dept. of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 Department of Physics and McGill Space Institute McGill University Montreal Quebec H3A 2T8 Canada Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Universitäts-Sternwarte Fakultät für Physik Ludwig-Maximilians Universität München Scheinerstr. 1 81679 München Germany Department of Physics & Astronomy University College London Gower Street London WC1E 6BT United Kingdom Department of Astronomy/Steward Observatory 933 North Cherry Avenue Tucson Arizona 85721-0065 USA Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. Pasadena California 91109 USA Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Institute of Physics Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland Department of Physics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Scottish Universities Physics Alliance Institute for Astronomy University of Edinburgh Royal Observatory Blackford Hill Edinburgh EH9 3HJ United Kingdom Center for Cosmology and AstroParticle Physics The Ohio State University 191 West Woodruff Avenue Columbus Ohio 43210 USA Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA Observatories of the Carnegie Institution of Washington 813 Santa Ba

Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) Collaboration used a joint fit to two-point correlations between these observables to place tight constraints on cosmology (T. M. C. Abbott et al. (Dark Energy Survey Collaboration), Phys. Rev. D 98, 043526 (2018)). In this work, we develop the methodology to extend the DES Year 1 joint probes analysis to include cross-correlations of the optical survey observables with gravitational lensing of the cosmic microwave background as measured by the South Pole Telescope (SPT) and Planck. Using simulated analyses, we show how the resulting set of five two-point functions increases the robustness of the cosmological constraints to systematic errors in galaxy lensing shear calibration. Additionally, we show that contamination of the SPT+Planck cosmic microwave background lensing map by the thermal Sunyaev-Zel’dovich effect is a potentially large source of systematic error for two-point function analyses but show that it can be reduced to acceptable levels in our analysis by masking clusters of galaxies and imposing angular scale cuts on the two-point functions. The methodology developed here will be applied to the analysis of data from the DES, the SPT, and Planck in a companion work.

关键词： Cosmic microwave background Cosmological parameters Dark energy Evolution of the Universe Large scale structure of the Universe

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Dark Energy Survey year 1 results: Joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

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Physical Review D 2019年第2期100卷 023541-023541页

作者： T. M. C. Abbott F. B. Abdalla A. Alarcon S. Allam J. Annis S. Avila K. Aylor M. Banerji N. Banik E. J. Baxter K. Bechtol M. R. Becker B. A. Benson G. M. Bernstein E. Bertin F. Bianchini J. Blazek L. E. Bleem S. L. Bridle D. Brooks E. Buckley-Geer D. L. Burke J. E. Carlstrom A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. Chang C. L. Chang H-M. Cho A. Choi R. Chown T. M. Crawford A. T. Crites M. Crocce C. E. Cunha C. B. D’Andrea L. N. da Costa C. Davis T. de Haan J. DeRose S. Desai J. De Vicente H. T. Diehl J. P. Dietrich M. A. Dobbs S. Dodelson P. Doel A. Drlica-Wagner T. F. Eifler J. Elvin-Poole W. B. Everett B. Flaugher P. Fosalba O. Friedrich J. Frieman J. García-Bellido M. Gatti E. Gaztanaga E. M. George D. W. Gerdes T. Giannantonio D. Gruen R. A. Gruendl J. Gschwend G. Gutierrez N. W. Halverson N. L. Harrington W. G. Hartley G. P. Holder D. L. Hollowood W. L. Holzapfel K. Honscheid Z. Hou B. Hoyle J. D. Hrubes D. Huterer B. Jain D. J. James M. Jarvis T. Jeltema M. W. G. Johnson M. D. Johnson S. Kent D. Kirk L. Knox N. Kokron E. Krause K. Kuehn O. Lahav A. T. Lee E. M. Leitch T. S. Li M. Lima H. Lin D. Luong-Van N. MacCrann M. A. G. Maia A. Manzotti D. P. Marrone J. L. Marshall P. Martini J. J. McMahon F. Menanteau S. S. Meyer R. Miquel L. M. Mocanu J. J. Mohr J. Muir T. Natoli A. Nicola B. Nord Y. Omori S. Padin S. Pandey A. A. Plazas A. Porredon J. Prat C. Pryke M. M. Rau C. L. Reichardt R. P. Rollins A. K. Romer A. Roodman A. J. Ross E. Rozo J. E. Ruhl E. S. Rykoff S. Samuroff C. Sánchez E. Sanchez J. T. Sayre V. Scarpine K. K. Schaffer L. F. Secco S. Serrano I. Sevilla-Noarbe E. Sheldon E. Shirokoff G. Simard M. Smith M. Soares-Santos F. Sobreira Z. Staniszewski A. A. Stark K. T. Story E. Suchyta M. E. C. Swanson G. Tarle D. Thomas M. A. Troxel D. L. Tucker K. Vanderlinde J. D. Vieira P. Vielzeuf V. Vikram A. R. Walker R. H. Wechsler J. Weller R. Williamson W. L. K. Wu B. Yanny O. Zahn Y. Zhang J. Zuntz Cerro Tololo Inter-American Observatory National Optical Astronomy Observatory Casilla 603 La Serena Chile Department of Physics & Astronomy University College London Gower Street London WC1E 6BT United Kingdom Department of Physics and Electronics Rhodes University P.O. Box 94 Grahamstown 6140 South Africa Institut d’Estudis Espacials de Catalunya (IEEC) 08193 Barcelona Spain Institute of Space Sciences (ICE CSIC) Campus UAB Carrer de Can Magrans s/n 08193 Barcelona Spain Fermi National Accelerator Laboratory P.O. Box 500 Batavia Illinois 60510 USA Institute of Cosmology & Gravitation University of Portsmouth Portsmouth PO1 3FX United Kingdom Department of Physics University of California Davis California 95616 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA LSST 933 North Cherry Avenue Tucson Arizona 85721 USA Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA CNRS UMR 7095 Institut d’Astrophysique de Paris F-75014 Paris France Sorbonne Universités UPMC Univ Paris 06 UMR 7095 Institut d’Astrophysique de Paris F-75014 Paris France School of Physics University of Melbourne Parkville VIC 3010 Australia Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Institute of Physics Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland High Energy Physics Division Argonne National Laboratory Argonne Illinois 60439 USA Jodrell Bank Center for Astrophysics School of Physic

We perform a joint analysis of the auto and cross-correlations between three cosmic fields: the galaxy density field, the galaxy weak lensing shear field, and the cosmic microwave background (CMB) weak lensing convergence field. These three fields are measured using roughly 1300 sq. deg. of overlapping optical imaging data from first year observations of the Dark Energy Survey (DES) and millimeter-wave observations of the CMB from both the South Pole Telescope Sunyaev-Zel’dovich survey and Planck. We present cosmological constraints from the joint analysis of the two-point correlation functions between galaxy density and galaxy shear with CMB lensing. We test for consistency between these measurements and the DES-only two-point function measurements, finding no evidence for inconsistency in the context of flat ΛCDM cosmological models. Performing a joint analysis of five of the possible correlation functions between these fields (excluding only the CMB lensing autospectrum) yields S8≡σ8Ωm/0.3=0.782−0.025+0.019 and Ωm=0.260−0.019+0.029. We test for consistency between these five correlation function measurements and the Planck-only measurement of the CMB lensing autospectrum, again finding no evidence for inconsistency in the context of flat ΛCDM models. Combining constraints from all six two-point functions yields S8=0.776−0.021+0.014 and Ωm=0.271−0.016+0.022. These results provide a powerful test and confirmation of the results from the first year DES joint-probes analysis.

关键词： Cosmic microwave background Cosmological parameters Evolution of the Universe Large scale structure of the Universe

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Dark energy survey year 1 results: Methodology and projections for joint analysis of galaxy Clustering, galaxy lensing, and CMB lensing two-point functions

arXiv

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arXiv 2018年

作者： Baxter, E.J. Omori, Y. Chang, C. Giannantonio, T. Kirk, D. Krause, E. Blazek, J. Bleem, L. Choi, A. Crawford, T.M. Dodelson, S. Gruen, D. Holder, G.P. Jain, B. Jarvis, M. MacCrann, N. Nicola, A. Pandey, S. Prat, J. Samuroff, S. Sánchez, C. Sheldon, E. Troxel, M.A. Zuntz, J. Abbott, T.M.C. Abdalla, F.B. Annis, J. Avila, S. Bechtol, K. Bertin, E. Brooks, D. Buckley-Geer, E. Burke, D.L. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Castander, F.J. Cawthon, R. Cunha, C.E. D'Andrea, C.B. Da Costa, L.N. Davis, C. De Vicente, J. DePoy, D.L. Diehl, H.T. Doel, P. Eifler, T.F. Estrada, J. Evrard, A.E. Flaugher, B. Fosalba, P. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Gruendl, R.A. Gschwend, J. Gutierrez, G. Hartley, W.G. Hollowood, D. Hoyle, B. James, D.J. Kent, S. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Maia, M.A.G. March, M. Marshall, J.L. Melchior, P. Menanteau, F. Miquel, R. Plazas, A.A. Roodman, A. Rykoff, E.S. Sanchez, E. Schindler, R. Schubnell, M. Sevilla-Noarbe, I. Smith, M. Smith, R.C. Soares-Santos, M. Sobreira, F. Suchyta, E. Swanson, M.E.C. Tarle, G. Walker, A.R. Weller, J. Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall StanfordCA94305 United States Dept. of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States Department of Physics McGill Space Institute McGill University MontrealQCH3A 2T8 Canada Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Universitäts-Sternwarte Fakultät für Physik Ludwig-Maximilians Universität München Scheinerstr. 1 München81679 Germany Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Department of Astronomy/Steward Observatory 933 North Cherry Avenue TucsonAZ85721-0065 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Center for Cosmology and Astro-Particle Physics Ohio State University ColumbusOH43210 United States Observatoire de Sauverny Versoix1290 Switzerland Department of Physics University of Chicago 5640 South Ellis Avenue ChicagoIL60637 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States Scottish Universities Physics Alliance Institute for Astronomy University of Edinburgh Royal Observatory Blackford Hill EdinburghEH9 3HJ United Kingdom Center for Cosmology and AstroParticle Physics Ohio State University 191 West Woodruff Avenue ColumbusOH43210 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Observatories of the Carnegie Institution of Washington 813 Santa Barbara St. PasadenaCA91101 United States Kavli Institute for Particle

Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) collaboration used a joint fit to two-point correlations between these observables to place tight constraints on cosmology (DES Collaboration et al. 2018). In this work, we develop the methodology to extend the DES year one joint probes analysis to include cross-correlations of the optical survey observables with gravitational lensing of the cosmic microwave background (CMB) as measured by the South Pole Telescope (SPT) and Planck. Using simulated analyses, we show how the resulting set of five two-point functions increases the robustness of the cosmological constraints to systematic errors in galaxy lensing shear calibration. Additionally, we show that contamination of the SPT+Planck CMB lensing map by the thermal Sunyaev-Zel'dovich effect is a potentially large source of systematic error for two-point function analyses, but show that it can be reduced to acceptable levels in our analysis by masking clusters of galaxies and imposing angular scale cuts on the two-point functions. The methodology developed here will be applied to the analysis of data from the DES, the SPT, and Planck in a companion work. Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

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