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Carolyn B Lauzon

Showing results (1-10 of 10) with videos related to

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Magnetic Resonance Imaging|March 8, 2013
Correcting power and p-value calculations for bias in diffusion tensor imagingCarolyn B Lauzon, Bennett A Landman
Journal of Biomolecular NMR|August 3, 2011
Using the water signal to detect invisible exchanging protons in the catalytic triad of a serine proteaseCarolyn B Lauzon, Peter van Zijl, James T Stivers
Proceedings of Spie--The International Society for Optical Engineering|October 23, 2012
Towards Automatic Quantitative Quality Control for MRICarolyn B Lauzon, Brian C Caffo, Bennett A Landman
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2014
Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality ControlAndrew J Asman, Carolyn B Lauzon, Bennett A Landman
Magnetic Resonance in Medicine|May 22, 2012
Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEXCarolyn B Lauzon, Ciprian Crainiceanu, Brian C Caffo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Assessment of bias for MRI diffusion tensor imaging using SIMEXCarolyn B Lauzon, Andrew J Asman, Ciprian Crainiceanu, et al.
Neuroimage|May 22, 2012
Biological parametric mapping accounting for random regressors with regression calibration and model II regressionXue Yang, Carolyn B Lauzon, Ciprian Crainiceanu, et al.
Multimodal Brain Image Analysis : First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011 : Proceedings|October 28, 2014
Accounting for Random Regressors: A Unified Approach to Multi-modality ImagingXue Yang, Carolyn B Lauzon, Ciprian Crainiceanu, et al.
Plos One|May 3, 2013
Simultaneous analysis and quality assurance for diffusion tensor imagingCarolyn B Lauzon, Andrew J Asman, Michael L Esparza, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 4, 2014
Integration of XNAT/PACS, DICOM, and Research Software for Automated Multi-modal Image AnalysisYurui Gao, Scott S Burns, Carolyn B Lauzon, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Magnetic Resonance Imaging|March 8, 2013
Correcting power and p-value calculations for bias in diffusion tensor imagingCarolyn B Lauzon, Bennett A Landman
Journal of Biomolecular NMR|August 3, 2011
Using the water signal to detect invisible exchanging protons in the catalytic triad of a serine proteaseCarolyn B Lauzon, Peter van Zijl, James T Stivers
Proceedings of Spie--The International Society for Optical Engineering|October 23, 2012
Towards Automatic Quantitative Quality Control for MRICarolyn B Lauzon, Brian C Caffo, Bennett A Landman
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2014
Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality ControlAndrew J Asman, Carolyn B Lauzon, Bennett A Landman
Magnetic Resonance in Medicine|May 22, 2012
Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEXCarolyn B Lauzon, Ciprian Crainiceanu, Brian C Caffo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Assessment of bias for MRI diffusion tensor imaging using SIMEXCarolyn B Lauzon, Andrew J Asman, Ciprian Crainiceanu, et al.
Neuroimage|May 22, 2012
Biological parametric mapping accounting for random regressors with regression calibration and model II regressionXue Yang, Carolyn B Lauzon, Ciprian Crainiceanu, et al.
Multimodal Brain Image Analysis : First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011 : Proceedings|October 28, 2014
Accounting for Random Regressors: A Unified Approach to Multi-modality ImagingXue Yang, Carolyn B Lauzon, Ciprian Crainiceanu, et al.
Plos One|May 3, 2013
Simultaneous analysis and quality assurance for diffusion tensor imagingCarolyn B Lauzon, Andrew J Asman, Michael L Esparza, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 4, 2014
Integration of XNAT/PACS, DICOM, and Research Software for Automated Multi-modal Image AnalysisYurui Gao, Scott S Burns, Carolyn B Lauzon, et al.
Pageof 1