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=James V. Miller= | =James V. Miller= | ||
Jim Miller is a researcher at the [http://www.ge.com/research/grc_4_6.html Visualization and Computer Vision Laboratory] at [http://www.ge.com/research/ GE Research]. While at GE Research, Jim has developed techniques for segmentation, registration, detection, and quantification for oncology, pulmonology, cardiology, neurology and surgery applications in CT, PET, MR, and X-Ray. This technology has been deployed on review workstations as well as integrated into the scanner platforms. Jim was the architect of the image processing pipeline for the Insight Toolkit ([http://www.itk.org ITK]) and architect for the Slicer3 [[Slicer3:Execution Model Documentation | generic execution model]]. | Jim Miller is a researcher at the [http://www.ge.com/research/grc_4_6.html Visualization and Computer Vision Laboratory] at [http://www.ge.com/research/ GE Research]. While at GE Research, Jim has developed techniques for segmentation, registration, detection, and quantification for oncology, pulmonology, cardiology, neurology and surgery applications in CT, PET, MR, and X-Ray. This technology has been deployed on review workstations as well as integrated into the scanner platforms. Jim was the architect of the image processing pipeline for the Insight Toolkit ([http://www.itk.org ITK]) and architect for the Slicer3 [[Slicer3:Execution Model Documentation | generic execution model]]. |
Revision as of 13:06, 12 September 2007
James V. Miller
Jim Miller is a researcher at the Visualization and Computer Vision Laboratory at GE Research. While at GE Research, Jim has developed techniques for segmentation, registration, detection, and quantification for oncology, pulmonology, cardiology, neurology and surgery applications in CT, PET, MR, and X-Ray. This technology has been deployed on review workstations as well as integrated into the scanner platforms. Jim was the architect of the image processing pipeline for the Insight Toolkit (ITK) and architect for the Slicer3 generic execution model.
Before joining GE Research, Jim received a PhD in Computer Engineering from Rensselaer Polytechnic Institute where he developed segmentation techniques based on robust statistics.
Within NA-MIC, Jim is part of the Engineering Core and Site PI for GE Research. Here, he is adding technology to ITK to support the needs of NA-MIC, developing a module plugin and scheduling architecture for Slicer3, and developing software testing tools (Dart).
Jim's technology interests include
- statistical methods for segmentation, quantification, and detection
- atlas based methods for clinical applications
- registration methods for longitudinal analysis and motion compensation
Jim has extensive experience in C++, object oriented programming, software architectures, software testing, and open source software. Jim has 6 US Patents.
Contact
Email: millerjv at research dot ge dot com