The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Jim Austin - One of the best experts on this subject based on the ideXlab platform.
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the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
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the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
H. K. Genant - One of the best experts on this subject based on the ideXlab platform.
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Automated quantitative morphometry of vertebral heights on spinal radiographs: comparison of a clinical Workflow Tool with standard 6-point morphometry.
Archives of osteoporosis, 2019Co-Authors: Klaus Engelke, B. Stampa, P. Steiger, T. Fuerst, H. K. GenantAbstract:Summary A Workflow Tool for measurements of vertebral heights on lateral spine radiographs based on automated placements of 6 points per vertebra was evaluated. The Tool helps to standardize point placement among operators. Its success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures. Manual corrections were required in 192 of 1257 analyzed vertebrae.
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automated quantitative morphometry of vertebral heights on spinal radiographs comparison of a clinical Workflow Tool with standard 6 point morphometry
Archives of Osteoporosis, 2019Co-Authors: Klaus Engelke, B. Stampa, P. Steiger, T. Fuerst, H. K. GenantAbstract:A Workflow Tool for measurements of vertebral heights on lateral spine radiographs based on automated placements of 6 points per vertebra was evaluated. The Tool helps to standardize point placement among operators. Its success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures. Manual corrections were required in 192 of 1257 analyzed vertebrae. To evaluate a new Workflow Tool (SA) for the automated measurements of vertebral heights on lateral spine radiographs. Lateral radiographs from 200 postmenopausal women were evaluated at two visits. Genant’s semi-quantitative fracture assessment (SQ) and manual quantitative morphometry (QM) results were available from prior analyses. Vertebral heights from point placements using SA were compared with manual 6-point placement QM. Differences were quantified as RMS coefficient of variations (rmsCV) and standard deviations (rmsSD). SA required manual corrections in 192 of 1257 vertebrae. SA heights were larger than QM ones by 2.2–3.6%. Correlations (r2 > 0.92) between SA and QM were very high. Differences between QM and SA were higher for fractured (SQ = 2; rmsCV% 14.5%) than for unfractured vertebrae (rmsCV% 4.2–4.7%). rmsCV% for QM varied between 3 and 6% and for SA between 2.5 and 7.5%. For SA, highest rmsCV% was obtained for T4 and L4. Manual correction mostly affected the end vertebrae T4 and L4. SA helps to standardize point placement among operators. The algorithm success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures, which are of greater clinical interest but are more readily recognized without morphometric measurements.
Michael Weeks - One of the best experts on this subject based on the ideXlab platform.
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the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
-
the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
Klaus Engelke - One of the best experts on this subject based on the ideXlab platform.
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Automated quantitative morphometry of vertebral heights on spinal radiographs: comparison of a clinical Workflow Tool with standard 6-point morphometry.
Archives of osteoporosis, 2019Co-Authors: Klaus Engelke, B. Stampa, P. Steiger, T. Fuerst, H. K. GenantAbstract:Summary A Workflow Tool for measurements of vertebral heights on lateral spine radiographs based on automated placements of 6 points per vertebra was evaluated. The Tool helps to standardize point placement among operators. Its success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures. Manual corrections were required in 192 of 1257 analyzed vertebrae.
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automated quantitative morphometry of vertebral heights on spinal radiographs comparison of a clinical Workflow Tool with standard 6 point morphometry
Archives of Osteoporosis, 2019Co-Authors: Klaus Engelke, B. Stampa, P. Steiger, T. Fuerst, H. K. GenantAbstract:A Workflow Tool for measurements of vertebral heights on lateral spine radiographs based on automated placements of 6 points per vertebra was evaluated. The Tool helps to standardize point placement among operators. Its success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures. Manual corrections were required in 192 of 1257 analyzed vertebrae. To evaluate a new Workflow Tool (SA) for the automated measurements of vertebral heights on lateral spine radiographs. Lateral radiographs from 200 postmenopausal women were evaluated at two visits. Genant’s semi-quantitative fracture assessment (SQ) and manual quantitative morphometry (QM) results were available from prior analyses. Vertebral heights from point placements using SA were compared with manual 6-point placement QM. Differences were quantified as RMS coefficient of variations (rmsCV) and standard deviations (rmsSD). SA required manual corrections in 192 of 1257 vertebrae. SA heights were larger than QM ones by 2.2–3.6%. Correlations (r2 > 0.92) between SA and QM were very high. Differences between QM and SA were higher for fractured (SQ = 2; rmsCV% 14.5%) than for unfractured vertebrae (rmsCV% 4.2–4.7%). rmsCV% for QM varied between 3 and 6% and for SA between 2.5 and 7.5%. For SA, highest rmsCV% was obtained for T4 and L4. Manual correction mostly affected the end vertebrae T4 and L4. SA helps to standardize point placement among operators. The algorithm success rate is very good in normal vertebrae but lower in vertebrae with more severe fractures, which are of greater clinical interest but are more readily recognized without morphometric measurements.
Tom Jackson - One of the best experts on this subject based on the ideXlab platform.
-
the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
-
the carmen software as a service infrastructure
Philosophical Transactions of the Royal Society A, 2012Co-Authors: Michael Weeks, Mark David Jessop, Martyn Anthony Fletcher, Victoria Jane Hodge, Tom Jackson, Jim AustinAbstract:The CARMEN platform allows neuroscientists to share data, metadata, services and Workflows, and to execute these services and Workflows remotely via a Web portal. This paper describes how we implemented a service-based infrastructure into the CARMEN Virtual Laboratory. A Software as a Service framework was developed to allow generic new and legacy code to be deployed as services on a heterogeneous execution framework. Users can submit analysis code typically written in Matlab, Python, C/C++ and R as non-interactive standalone command-line applications and wrap them as services in a form suitable for deployment on the platform. The CARMEN Service Builder Tool enables neuroscientists to quickly wrap their analysis software for deployment to the CARMEN platform, as a service without knowledge of the service framework or the CARMEN system. A metadata schema describes each service in terms of both system and user requirements. The search functionality allows services to be quickly discovered from the many services available. Within the platform, services may be combined into more complicated analyses using the Workflow Tool. CARMEN and the service infrastructure are targeted towards the neuroscience community; however, it is a generic platform, and can be targeted towards any discipline.
