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Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Aji A, Wang F, Saltz JH.
PMID: 24501719
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2012 Nov 06;2012:309-318. doi: 10.1145/2424321.2424361.

Support of high performance queries on large volumes of scientific spatial data is becoming increasingly important in many applications. This growth is driven by not only geospatial problems in numerous fields, but also emerging scientific applications that are increasingly...

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Aji A, Wang F, Saltz JH. Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2012;2012:309-318doi: 10.1145/2424321.2424361.
Aji, A., Wang, F., & Saltz, J. H. (2012). Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2012309-318. https://doi.org/10.1145/2424321.2424361
Aji, Ablimit, et al. "Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2012 (2012): 309-318. doi: https://doi.org/10.1145/2424321.2424361
Aji A, Wang F, Saltz JH. Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2012 Nov 06;2012:309-318. doi: 10.1145/2424321.2424361. PMID: 24501719; PMCID: PMC3909999.
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Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Liang Y, Vo H, Aji A, Kong J, Wang F.
PMID: 28770259
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016 Oct-Nov;2016. doi: 10.1145/2996913.2996925.

3D analytical pathology imaging examines high resolution 3D image volumes of human tissues to facilitate biomedical research and provide potential effective diagnostic assistance. Such approach - quantitative analysis of large-scale 3D pathology image volumes - generates tremendous amounts of...

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Liang Y, Vo H, Aji A, et al. Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016;2016doi: 10.1145/2996913.2996925.
Liang, Y., Vo, H., Aji, A., Kong, J., & Wang, F. (2016). Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2016. https://doi.org/10.1145/2996913.2996925
Liang, Yanhui, et al. "Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2016 (2016). doi: https://doi.org/10.1145/2996913.2996925
Liang Y, Vo H, Aji A, Kong J, Wang F. Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016 Oct-Nov;2016. doi: 10.1145/2996913.2996925. PMID: 28770259; PMCID: PMC5535306.
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iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Liang Y, Kong J, Vo H, Wang F.
PMID: 33977292
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017. doi: 10.1145/3139958.3139961.

Recent advances in digital pathology make it possible to support 3D tissue-based investigation of human diseases at extremely high resolutions. Exploring spatial relationships and patterns among massive 3D micro-anatomic biological objects such as blood vessels and cells derived from...

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Liang Y, Kong J, Vo H, et al. iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017;2017doi: 10.1145/3139958.3139961.
Liang, Y., Kong, J., Vo, H., & Wang, F. (2017). iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017. https://doi.org/10.1145/3139958.3139961
Liang, Yanhui, et al. "iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2017 (2017). doi: https://doi.org/10.1145/3139958.3139961
Liang Y, Kong J, Vo H, Wang F. iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017. doi: 10.1145/3139958.3139961. PMID: 33977292; PMCID: PMC8110205.
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Mining Public Datasets for Modeling Intra-City PM.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Lin Y, Stripelis D, Chiang YY, Ambite JL, Habre R, Pan F, Eckel SP.
PMID: 29527599
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017. doi: 10.1145/3139958.3140013.

Air quality models are important for studying the impact of air pollutant on health conditions at a fine spatiotemporal scale. Existing work typically relies on area-specific, expert-selected attributes of pollution emissions (e,g., transportation) and dispersion (e.g., meteorology) for building...

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Lin Y, Stripelis D, Chiang YY, et al. Mining Public Datasets for Modeling Intra-City PM. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017;2017doi: 10.1145/3139958.3140013.
Lin, Y., Stripelis, D., Chiang, Y. Y., Ambite, J. L., Habre, R., Pan, F., & Eckel, S. P. (2017). Mining Public Datasets for Modeling Intra-City PM. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017. https://doi.org/10.1145/3139958.3140013
Lin, Yijun, et al. "Mining Public Datasets for Modeling Intra-City PM." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2017 (2017). doi: https://doi.org/10.1145/3139958.3140013
Lin Y, Stripelis D, Chiang YY, Ambite JL, Habre R, Pan F, Eckel SP. Mining Public Datasets for Modeling Intra-City PM. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017. doi: 10.1145/3139958.3140013. PMID: 29527599; PMCID: PMC5841919.
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Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Aji A, Sun X, Vo H, Liu Q, Lee R, Zhang X, Saltz J, Wang F.
PMID: 27617325
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2013 Nov;2013:528-531. doi: 10.1145/2525314.2525320.

The proliferation of GPS-enabled devices, and the rapid improvement of scientific instruments have resulted in massive amounts of spatial data in the last decade. Support of high performance spatial queries on large volumes data has become increasingly important in...

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Aji A, Sun X, Vo H, et al. Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2013;2013:528-531doi: 10.1145/2525314.2525320.
Aji, A., Sun, X., Vo, H., Liu, Q., Lee, R., Zhang, X., Saltz, J., & Wang, F. (2013). Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013528-531. https://doi.org/10.1145/2525314.2525320
Aji, Ablimit, et al. "Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2013 (2013): 528-531. doi: https://doi.org/10.1145/2525314.2525320
Aji A, Sun X, Vo H, Liu Q, Lee R, Zhang X, Saltz J, Wang F. Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2013 Nov;2013:528-531. doi: 10.1145/2525314.2525320. PMID: 27617325; PMCID: PMC5013659.
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SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Baig F, Vo H, Kurc T, Saltz J, Wang F.
PMID: 30035278
Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017.

Much effort has been devoted to support high performance spatial queries on large volumes of spatial data in distributed spatial computing systems, especially in the MapReduce paradigm. Recent works have focused on extending spatial MapReduce frameworks to leverage high...

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Baig F, Vo H, Kurc T, et al. SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017;2017
Baig, F., Vo, H., Kurc, T., Saltz, J., & Wang, F. (2017). SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017.
Baig, Furqan, et al. "SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2017 (2017).
Baig F, Vo H, Kurc T, Saltz J, Wang F. SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2017 Nov;2017. PMID: 30035278; PMCID: PMC6054321.
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Showing 1 to 6 of 6 entries