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Published in 2018 at "Applications in Plant Sciences"
DOI: 10.1002/aps3.1029
Abstract: Premise of the Study A species distribution model computed with automatically identified plant observations was developed and evaluated to contribute to future ecological studies. Methods We used deep learning techniques to automatically identify opportunistic plant… read more here.
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Published in 2023 at "Drug testing and analysis"
DOI: 10.1002/dta.3445
Abstract: Rapid and accurate identification of unknown compounds within suspicious samples confiscated for sports doping control and law enforcement drug testing is critical, but such analyses are often conducted manually and can be time consuming. Here,… read more here.
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Published in 2023 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4491
Abstract: 25 A novel automated scheme for identifying occluded mid-latitude cyclones from 26 gridded data sets is described and employed to construct a limited climatology of such 27 storms as well as composites of their thermodynamic… read more here.
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Published in 2021 at "Seminars in pediatric neurology"
DOI: 10.1016/j.spen.2021.100914
Abstract: Surgery is an effective but underused treatment for drug-resistant epilepsy in children. Algorithms to identify surgical candidates and estimate the likelihood of postoperative clinical improvement may be valuable to improve access to epilepsy surgery. We… read more here.
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Published in 2018 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(18)31440-2
Abstract: Hypertrophic cardiomyopathy (HCM) patients are at risk for sudden cardiac death (SCD). The study aim was to build natural language processing (NLP) systems for automated identification of HCM-SCD risk phenotypes from electronic health records (EHRs).… read more here.
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Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-16529-6
Abstract: Raman spectroscopy is frequently used to identify composition, structure and layer thickness of 2D materials. Here, we describe an efficient first-principles workflow for calculating resonant first-order Raman spectra of solids within third-order perturbation theory employing… read more here.
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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-41459-9
Abstract: Ubiquitous in eukaryotic organisms, the flagellum is a well-studied organelle that is well-known to be responsible for motility in a variety of organisms. Commonly necessitated in their study is the capability to image and subsequently… read more here.
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-71798-x
Abstract: The accurate identification of biological control agents is necessary for monitoring and preventing contamination in integrated pest management (IPM); however, this is difficult for non-taxonomists to achieve in the field. Many machine learning techniques have… read more here.
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Published in 2019 at "Journal of Medical Entomology"
DOI: 10.1093/jme/tjz065
Abstract: Abstract Vector-borne Chagas disease is endemic to the Americas and imposes significant economic and social burdens on public health. In a previous contribution, we presented an automated identification system that was able to discriminate among… read more here.
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12081987
Abstract: Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing… read more here.