Zobrazeno 1 - 10
of 203
pro vyhledávání: '"J, Brockmeier"'
Publikováno v:
NeuroImage, Vol 274, Iss , Pp 120127- (2023)
Cortical thickness reductions differ between individuals with psychotic disorders and comparison subjects even in early stages of illness. Whether these reductions covary as expected by functional network membership or simply by spatial proximity has
Externí odkaz:
https://doaj.org/article/2744c4a20ac045edbca1df53955492b8
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, whi
Externí odkaz:
https://doaj.org/article/a238102966774309a6951ba1092baa5e
Autor:
Saskia Middeldorp, Eva N Hamulyák, Austin J Brockmeier, Johanna D Killas, Sophia Ananiadou, Armand M Leroi
Publikováno v:
BMJ Open, Vol 10, Iss 10 (2020)
Objective To determine how the representation of women’s health has changed in clinical studies over the course of 70 years.Design Observational study of 71 866 research articles published between 1948 and 2018 in The BMJ.Main outcome measures The
Externí odkaz:
https://doaj.org/article/439f193c19e746f9afbb6a612b6b9b9b
Autor:
Rebecca G. Clements, Claudio Cesar Claros-Olivares, Grace McIlvain, Austin J. Brockmeier, Curtis L. Johnson
Publikováno v:
bioRxiv
Brain age is a quantitative estimate to explain an individual’s structural and functional brain measurements relative to the overall population and is particularly valuable in describing differences related to developmental or neurodegenerative pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::542591cee7b382f5f4e4d6b516fb9be7
https://europepmc.org/articles/PMC9948973/
https://europepmc.org/articles/PMC9948973/
Publikováno v:
OCEANS 2022, Hampton Roads.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1361b501bb8bffbb8b2203181899db3
https://doi.org/10.1109/oceans47191.2022.9977058
https://doi.org/10.1109/oceans47191.2022.9977058
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels. The empirical estimator of the divergence is computed using the eigenvalues of positive definite Gram matrices th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::751176728b9400a9c1858ff507271b1c
https://doi.org/10.1109/icassp43922.2022.9747350
https://doi.org/10.1109/icassp43922.2022.9747350
Autor:
Thirza Singer-Cornelius, Steffi J. Brockmeier, F. U. Metternich, Michael Oberle, Julian Cornelius
Publikováno v:
European Archives of Oto-Rhino-Laryngology
Purpose To determine the prevalence of objective gustatory (GD) and olfactory (OD) dysfunction in COVID-19 patients. Methods This is a prospective, cross-sectional study of 51 COVID-19 positive patients diagnosed using RT-PCR-based testing. Of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d044770a98541b41122f3e83ef6cd135
http://europepmc.org/articles/PMC7816141
http://europepmc.org/articles/PMC7816141
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Seizure detection algorithms must discriminate abnormal neuronal activity associated with a seizure from normal neural activity in a variety of conditions. Our approach is to seek spatiotemporal waveforms with distinct morphology in electrocorticogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::266332ef573953e019ed40fdd4b47325
https://pubmed.ncbi.nlm.nih.gov/34891488
https://pubmed.ncbi.nlm.nih.gov/34891488
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Przybyla, P, Brockmeier, A & Ananiadou, S 2019, ' Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model ', Journal of the American Medical Informatics Association, vol. 26, no. 6, pp. 537-546 . https://doi.org/10.1093/jamia/ocz004
Przybyla, P, Brockmeier, A & Ananiadou, S 2019, ' Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model ', Journal of the American Medical Informatics Association, vol. 26, no. 6, pp. 537-546 . https://doi.org/10.1093/jamia/ocz004
Objective We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions, symptoms, laboratory tests or behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f95445a77eeb9aa7ccae139d408dddf
https://doi.org/10.1093/jamia/ocz004
https://doi.org/10.1093/jamia/ocz004
Autor:
Hassan Baker, Austin J. Brockmeier
Publikováno v:
NER
Modeling the human brain as a complex network (operating at many different scales) is a powerful tool to analyze both its structural and functional connections. Neuroimaging techniques, such as fMRI, capture the metabolic response to neural activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26e79a685bbb1939fc31304bef25eab4
https://doi.org/10.1109/ner49283.2021.9441242
https://doi.org/10.1109/ner49283.2021.9441242