Search Results - "Brockmeier, J."

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  1. 1

    Olfactory Dysfunction and Sinonasal Symptomatology in COVID-19: Prevalence, Severity, Timing, and Associated Characteristics by Speth, Marlene M., Singer-Cornelius, Thirza, Oberle, Michael, Gengler, Isabelle, Brockmeier, Steffi J., Sedaghat, Ahmad R.

    Published in Otolaryngology-head and neck surgery (01-07-2020)
    “…Objective Olfactory dysfunction (OD)—hyposmia or anosmia—is a symptom of coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, severe acute…”
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    Journal Article
  2. 2

    Mood, Anxiety and Olfactory Dysfunction in COVID‐19: Evidence of Central Nervous System Involvement? by Speth, Marlene M., Singer‐Cornelius, Thirza, Oberle, Michael, Gengler, Isabelle, Brockmeier, Steffi J., Sedaghat, Ahmad R.

    Published in The Laryngoscope (01-11-2020)
    “…Objective The objective of this study was to determine the burden of depressed mood and anxiety in COVID‐19, and associated disease characteristics. Materials…”
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    Journal Article
  3. 3

    Improving reference prioritisation with PICO recognition by Brockmeier, Austin J, Ju, Meizhi, Przybyła, Piotr, Ananiadou, Sophia

    “…Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to…”
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    Journal Article
  4. 4

    Exploring the influence of functional architecture on cortical thickness networks in early psychosis – A longitudinal study by Holton, Kristina M., Chan, Shi Yu, Brockmeier, Austin J., Öngür, Dost, Hall, Mei-Hua

    Published in NeuroImage (Orlando, Fla.) (01-07-2023)
    “…•Cortical thickness reductions are spatially organized.•Diagnosis-specific differences in cortical thickness reductions are elucidated.•Though heterogeneous,…”
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    Journal Article
  5. 5

    A semi-supervised approach using label propagation to support citation screening by Kontonatsios, Georgios, Brockmeier, Austin J., Przybyła, Piotr, McNaught, John, Mu, Tingting, Goulermas, John Y., Ananiadou, Sophia

    Published in Journal of biomedical informatics (01-08-2017)
    “…[Display omitted] •Systematic reviews can benefit from automatically screening relevant citations.•We propose a new method that improves the performance by…”
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    Journal Article
  6. 6

    Women’s health in The BMJ: a data science history by Hamulyák, Eva N, Brockmeier, Austin J, Killas, Johanna D, Ananiadou, Sophia, Middeldorp, Saskia, Leroi, Armand M

    Published in BMJ open (21-10-2020)
    “…ObjectiveTo determine how the representation of women’s health has changed in clinical studies over the course of 70 years.DesignObservational study of 71 866…”
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    Journal Article
  7. 7

    Left atrial thrombi and spontaneous echo contrast in patients with atrial fibrillation: Systematic analysis of a single-center experience by Bejinariu, A. G., Härtel, D. U., Brockmeier, J., Oeckinghaus, R., Herzer, A., Tebbe, U.

    Published in Herz (01-12-2016)
    “…Background Atrial fibrillation is associated with a high risk for thromboembolic events. Thrombi in the left atrial appendage and spontaneous echo contrast…”
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    Journal Article
  8. 8

    Comparison of music perception in bilateral and unilateral cochlear implant users and normal-hearing subjects by Veekmans, K, Ressel, L, Mueller, J, Vischer, M, Brockmeier, S J

    Published in Audiology & neurotology (01-01-2009)
    “…Music plays an important role in the daily life of cochlear implant (CI) users, but electrical hearing and speech processing pose challenges for enjoying…”
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    Journal Article
  9. 9

    The MuSIC perception test: A novel battery for testing music perception of cochlear implant users by Brockmeier, S J, Fitzgerald, Denis, Searle, Oliver, Fitzgerald, Heather, Grasmeder, Mary, Hilbig, Silke, Vermiere, Katrien, Peterreins, Martin, Heydner, Susanne, Arnold, Wolfgang

    Published in Cochlear implants international (01-02-2011)
    “…This study was undertaken to evaluate the musical sounds in cochlear implants (MuSIC) perception test, created to assess the music-listening abilities of…”
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    Journal Article
  10. 10

    Acute pulmonary embolism: still a diagnostic and therapeutic challenge? by Felgendreher, R, Härtel, D, Brockmeier, J, Bramlage, K, Aschenbrenner, T, Götz, J, Bramlage, P, Tebbe, U

    “…Acute pulmonary embolism (PE) is a cardiovascular emergency with high mortality in which a rapid diagnosis and the early initiation of therapy is vital. In the…”
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    Journal Article
  11. 11

    A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control by Li, Lin, Brockmeier, Austin J., Choi, John S., Francis, Joseph Thachil, Sanchez, Justin C., Príncipe, José C.

    “…Brain machine interfaces (BMIs) have attracted intense attention as a promising technology for directly interfacing computers or prostheses with the brain’s…”
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    Journal Article
  12. 12

    Self-Tuned Descriptive Document Clustering Using a Predictive Network by Brockmeier, Austin J., Mu, Tingting, Ananiadou, Sophia, Goulermas, John Y.

    “…Descriptive clustering consists of automatically organizing data instances into clusters and generating a descriptive summary for each cluster. The description…”
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    Journal Article
  13. 13

    Learning Recurrent Waveforms Within EEGs by Brockmeier, Austin J., Principe, Jose C.

    “…Goal: We demonstrate an algorithm to automatically learn the time-limited waveforms associated with phasic events that repeatedly appear throughout an…”
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    Journal Article
  14. 14

    Continuation methods for approximate large scale object sequencing by Evangelopoulos, Xenophon, Brockmeier, Austin J., Mu, Tingting, Goulermas, John Y.

    Published in Machine learning (01-04-2019)
    “…We propose a set of highly scalable algorithms for the combinatorial data analysis problem of seriating similarity matrices. Seriation consists of finding a…”
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    Journal Article
  15. 15

    Quantifying risk factors in medical reports with a context-aware linear model by Przybyła, Piotr, Brockmeier, Austin J, Ananiadou, Sophia

    “…We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named…”
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    Journal Article
  16. 16

    Representing and decomposing neural potential signals by Principe, Jose C, Brockmeier, Austin J

    Published in Current opinion in neurobiology (01-04-2015)
    “…Highlights • Traditional frequency analysis is inadequate for neural potentials. • Overcomplete representations enable precise estimation of timing and…”
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    Journal Article
  17. 17

    Prioritising references for systematic reviews with RobotAnalyst: A user study by Przybyła, Piotr, Brockmeier, Austin J., Kontonatsios, Georgios, Le Pogam, Marie‐Annick, McNaught, John, Elm, Erik, Nolan, Kay, Ananiadou, Sophia

    Published in Research synthesis methods (01-09-2018)
    “…Screening references is a time‐consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be…”
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    Journal Article
  18. 18

    Training a Machine Learning Model for Underwater Chemical Source Localization in Simulated Turbulent Flows by Phan, Hau, Wardlaw, Michael J., Kim, Bruce, Brockmeier, Austin J.

    Published in OCEANS 2022, Hampton Roads (17-10-2022)
    “…Underwater chemical source localization is challenging due to the dynamic and chaotic processes involved. Averaged across long time scales, the geometry of the…”
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    Conference Proceeding
  19. 19

    Neural decoding with kernel-based metric learning by Brockmeier, Austin J, Choi, John S, Kriminger, Evan G, Francis, Joseph T, Principe, Jose C

    Published in Neural computation (01-06-2014)
    “…In studies of the nervous system, the choice of metric for the neural responses is a pivotal assumption. For instance, a well-suited distance metric enables us…”
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    Journal Article
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