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Grid-enabling medical image analysis

C. Germain, V. Breton, P. Clarysse, Y. Gaudeau, T. Glatard, E. Jeannot, Y. Legre, C. Loomis, J. Montagnat, J.-M. Moureaux, A. Osorio, X. Pennec (+1 others)
2005 CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.  
Given the volume of data, the sensitivity of medical information, and the joint complexity of medical datasets and computations expected in clinical practice, the challenge is to fill the gap between the  ...  medical services which target the requirements of medical data processing applications; on the other hand, grid-enabling a panel of applications ranging from algorithmic research to clinical applications  ...  Grid-enabled workflows provide a tool for easily setting up medical experiments on large datasets.  ... 
doi:10.1109/ccgrid.2005.1558593 dblp:conf/ccgrid/GermainBCGGJLLMMOPT05 fatcat:qzmpszc4rbgxrikmpng5ajqlfi

Grid-enabling medical image analysis

C. Germain, V. Breton, P. Clarysse, Y. Gaudeau, T. Glatard, E. Jeannot, Y Legré, C. Loomis, I. Magnin, J. Montagnat, J. -M. Moureaux, A. Osorio (+2 others)
2005 Journal of clinical monitoring and computing  
Grid-enabled workflows provide a tool for easily setting up medical experiments on large datasets.  ...  Medical data storage and retrieval thus require the manipulation of large volumes of data and meaningful associated metadata.  ... 
doi:10.1007/s10877-005-0679-9 pmid:16328948 fatcat:7enurzsg6bgcrgx54eg7btzoiq

Automatic Visualization Pipeline Formation For Medical Datasets On Grid Computing Environment

Aboamama Atahar Ahmed, Muhammad Shafie Abd Latiff, Kamalrulnizam Abu Bakar, Zainul AhmadRajion
2007 Zenodo  
We show our grid enabled architecture to visualize large medical datasets (circa 5 million polygons) for remote interactive visualization on modest resources clients.  ...  In this paper we investigate how the grid services could be used to support remote visualization of large datasets and to break the constraint of physical co-location of the resources by applying the grid  ...  On the other hand, scientific visualization demands availability of powerful resources such as powerful graphics adapters and large memory and most often extended storage devices.  ... 
doi:10.5281/zenodo.1057079 fatcat:uxnuu2kcyzekvlvs7gwpvxbqmq

Visualization Pipeline for Medical Datasets on Grid Computing Environment

Aboamama Atahar Ahmed, Muhammad Shafie Abd Latiff, Kamalrulnizam Abu Bakar, Zainul Ahmad Rajion
2007 2007 International Conference on Computational Science and its Applications (ICCSA 2007)  
We show our grid enabled architecture to visualize large medical datasets (circa 5 million polygons) for remote interactive visualization on modest resources clients.  ...  In this paper we investigate how the grid services could be used to support remote visualization of large datasets and to break the constraint of physical co-location of the resources by applying the grid  ...  to visualize a variety of large volume of data including medical data.  ... 
doi:10.1109/iccsa.2007.92 dblp:conf/iccsa/AtaharLBZ07 fatcat:kfir4ruzirhprc3f6lg4f5bocu

Integrated multimedia electronic patient record and graph-based image information for cerebral tumors

John Puentes, Bénédicte Batrancourt, Jamal Atif, Elsa Angelini, Laurent Lecornu, Abdelhamid Zemirline, Isabelle Bloch, Gouenou Coatrieux, Christian Roux
2008 Computers in Biology and Medicine  
Results suggest that the enhanced clinical information scheme could lead to original changes in the way medical experts utilize image-based information. ᭧  ...  This paper presents an integration framework into EPRs of anatomical and pathological knowledge extracted from segmented magnetic resonance imaging (MRI), applying a graph of representation for anatomical  ...  Therefore, a set of icons (letters displayed on the top right part of the GUI) is provided to interactively define multiple datasets display when required.  ... 
doi:10.1016/j.compbiomed.2008.01.009 pmid:18325489 fatcat:g6myzzjtr5byzkv2z7fxw7etoq

Interactive visualization of very large medical datasets using point-based rendering

Christof Nuber, Ralph W. Bruckschen, Bernd Hamann, Kenneth I. Joy, Robert L. Galloway, Jr.
2003 Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display  
It is also possible to change the values of interest to be displayed in real-time, enabling us to change display-parameters and thus looking for interesting and important features and contours interactively  ...  We describe a new way to interactively display high-resolution datasets without any loss of detail.  ...  Acknowledgments This work was supported by the National Science Foundation under contract ACI 9624034 (CAREER Award) and ACI 0222909, through the Large Scientific and Software Data Set Visualization (LSSDSV  ... 
doi:10.1117/12.480349 dblp:conf/miigp/NuberBHJ03 fatcat:d2njyzmm3famvlewvzexkar4xu

A Grid-Based Image Archival and Analysis System

S. Hastings
2005 JAMIA Journal of the American Medical Informatics Association  
The GridPACS architecture is designed to support a wide range of biomedical applications encountered in basic and clinical research, which make use of large collections of images.  ...  Whereas this information can significantly improve understanding of disease pathophysiology as well as the noninvasive diagnosis of disease in patients, the need to process, analyze, and store large amounts  ...  A major requirement of these projects is the capability to support storage, management, integration, and analysis of large image datasets and associated metadata.  ... 
doi:10.1197/jamia.m1698 pmid:15684129 pmcid:PMC1090459 fatcat:7s3nsi43fngunmptcdfej3ztvy

Marcelle: Composing Interactive Machine Learning Workflows and Interfaces

Jules Françoise, Baptiste Caramiaux, Téo Sanchez
2021 The 34th Annual ACM Symposium on User Interface Software and Technology  
We want to acknowledge and thank everyone who was involved in each stage of the research, in particular the anonymous reviewers, students of the Interactive Machine Learning course in Université Paris-Saclay  ...  ACKNOWLEDGEMENTS This research was supported by the ELEMENT project (ANR-18-CE33-0002) from the French National Research Agency.  ...  Some of the benefits of IML include helping users to efficiently convey expert knowledge to the system [43] , allowing system adaptation to a user's specific needs [35] , enabling ML as design material  ... 
doi:10.1145/3472749.3474734 fatcat:pdq3wvgrgzgyxkus5zn4gj7ooy

The Comparative Toxicogenomics Database: update 2019

2018 Nucleic Acids Research  
We describe new querying and display features for our enhanced chemical-exposure science module, providing greater scope of content and utility.  ...  explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical-gene molecular initiating events with phenotypic  ...  Finally, we expanded the display content of 'Exposure Details' from 14 to 33 data fields and adapted the view mode to be customizable by the user (19) .  ... 
doi:10.1093/nar/gky868 pmid:30247620 pmcid:PMC6323936 fatcat:4qvewpc42jhsvic7phptfwy6im

An adaptable navigation strategy for Virtual Microscopy from mobile platforms

Germán Corredor, Eduardo Romero, Marcela Iregui
2015 Journal of Biomedical Informatics  
This model is easily adaptable to other medical imaging scenarios.  ...  Real integration of Virtual Microscopy with the pathologist service workflow requires the design of adaptable strategies for any hospital service to interact with a set of Whole Slide Images.  ...  the slides, provided advising and helped to perform the experiments.  ... 
doi:10.1016/j.jbi.2015.01.013 pmid:25684128 fatcat:674z76ju7nd6rfwfex2nuoh3oq

BINARY: A framework for big data integration for ad-hoc querying

Azadeh Eftekhari, Farhana Zulkernine, Patrick Martin
2016 2016 IEEE International Conference on Big Data (Big Data)  
There is also a front-end web interface that enables the use of HiveQL to query the data sources. The framework is extendable and allows adding other storage engines (e.g.  ...  We used REST software architecture to enable loose connections between the engines and the User Interface programs to facilitate independent updates without affecting the data infrastructure.  ...  Apache Drill [5] , as one of the SQL-Like languages on Hadoop, enables interactive ad-hoc analysis of large-scale datasets with low latency.  ... 
doi:10.1109/bigdata.2016.7840922 dblp:conf/bigdataconf/EftekhariZM16 fatcat:4jd5ycet45df7bhxt76crevzlm

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

Engin Dikici, Matthew Bigelow, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal
2020 Journal of Medical Imaging  
per patient with the number of subsequently annotated datasets increasing from 93 to 217 as a result of radiologist adjudication.  ...  This is achieved by establishing three maturity levels where (1) research enables the visualization of AI-based results/annotations by radiologists without generating new patient records; (2) production  ...  Architectural Adaptations to Achieve Levels of Maturity Research maturity level To represent the inference results from an ML algorithm to a dedicated group of medical experts, the workflow must be adapted  ... 
doi:10.1117/1.jmi.7.1.016502 pmid:32064302 pmcid:PMC7012173 fatcat:cj2ggq6jr5byffrpopetxign5m

CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems [chapter]

E. Jaspers, R. Wijnhoven, R. Albers, J. Nesvadba, J. Lukkien, A. Sinitsyn, X. Desurmont, P. Pietarila, J. Palo, R. Truyen
2006 Lecture Notes in Computer Science  
To unleash the full potential of such integration, adaptive video-content analysis and retrieval techniques are being explored by developing several pilot applications. . . .  ...  The CANDELA project, which is part of the European ITEA program, focuses on the integration of video content analysis in combination with networked delivery and storage technologies.  ...  Acknowledgements Several authors are denoted on the paper. However, the work was performed by many more people. We would like to thank all members of the CANDELA project.  ... 
doi:10.1007/11670834_10 fatcat:j2h7vh3tprdolc7qcbdvquq3ey

Integrating AI into Radiology workflow: Levels of research, production, and feedback maturity [article]

Engin Dikici, Matthew Bigelow, Luciano M. Prevedello, Richard D. White, Barbaros Selnur Erdal
2019 arXiv   pre-print
per patient with the number of subsequently annotated datasets increasing from 93 to 217 as a result of radiologist adjudication.  ...  This is achieved by establishing three maturity levels where: (1) research enables the visualization of AI-based results/annotations by radiologists without generating new patient records; (2) production  ...  The VNA is a technology enabling the storage of medical images in a standard format and offering a generic interface, thereby making the data accessible to multiple healthcare professionals regardless  ... 
arXiv:1910.06424v1 fatcat:6ahoragrtza67ijof2sfvbffse

Interpretation of Medical Imaging Data with a Mobile Application: A Mobile Digital Imaging Processing Environment

Meng Kuan Lin, Oliver Nicolini, Harald Waxenegger, Graham J. Galloway, Jeremy F. P. Ullmann, Andrew L. Janke
2013 Frontiers in Neurology  
This allows mobile devices to display multiple datasets simultaneously from a remote site.  ...  The objective of the system is to (1) automate the direct data tiling, conversion, pre-tiling of brain images from Medical Imaging NetCDF (MINC), Neuroimaging Informatics Technology Initiative (NIFTI)  ...  The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the University of Queensland.  ... 
doi:10.3389/fneur.2013.00085 pmid:23847587 pmcid:PMC3701154 fatcat:yeiqzyj6cfbylipwlgxq35kola
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