Robust Optic Nerve Segmentation on Clinically Acquired CT
Dec. 31, 2014—Robert Harrigan, Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Benjamin C. W. Yvernault, Seth A. Smith, Robert L. Galloway, Louise A. Mawn, Bennett A. Landman “Robust Optic Nerve Segmentation on Clinically Acquired CT.” Journal of Medical Imaging. 1(3), 034006 (Dec 17, 2014). † PMC3903299 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/26158064 Abstract The optic nerve (ON) plays a...
Resource Estimation in High Performance Medical Image Computing
Oct. 31, 2014—Rueben Banalagay, Kelsie J. Covington, D.Mitch Wilkes, Bennett A. Landman. “Resource Estimation in High Performance Medical Image Computing.” Neuroinformatics. 2014 Oct;12(4):563-73. † PMC4381797 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/24906466 Abstract Medical imaging analysis processes often involve the concatenation of many steps (e.g., multi-stage scripts) to integrate and realize advancements from image acquisition, image processing, and computational analysis. With the...
Validating DICOM transcoding with an open multi-format resource
Oct. 31, 2014—Benjamin C. Yvernault, Charles D. Theobald, Jr., Jolinda C. Smith, Victoria Villalta, David H. Zald, Bennett A. Landman. “Validating DICOM transcoding with an open multi-format resource.” Neuroinformatics. 2014 Oct;12(4):615-7. † PMC4391369 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/24777387 Abstract The Digital Imaging and Communications in Medicine (DICOM) standard has allowed wide-scale interoperability between medical imaging devices allowed for construction...
SIMPLE Is a Good Idea (and Better with Context Learning)
Sep. 30, 2014—Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman. “SIMPLE Is a Good Idea (and Better with Context Learning)”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, September 2014. Full text: PubMed Abstract Selective and iterative method for performance level estimation (SIMPLE) is a multi-atlas segmentation technique that integrates...
Evaluation of Multi-Atlas Label Fusion for Orbital Segmentation on In Vivo MRI
Jul. 31, 2014—Swetasudha Panda, Andrew J Asman, Shweta P Khare, Lindsey Thompson, Louise A Mawn, Seth A Smith, Bennett A Landman. “Evaluation of Multi-Atlas Label Fusion for Orbital Segmentation on In Vivo MRI.” Journal of Medical Imaging. 1(2), 024002 (Jul–Sep 2014) † PMC4280790 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/25558466 Abstract Multi-atlas methods have been successful for brain segmentation, but their application...
The impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using SOLAR
Jun. 20, 2014—Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, Bennett A. Landman, “The impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using SOLAR”. Journal of Medical Imaging, 2014 Jun 27;1(1):014005 Full Text: https://www.ncbi.nlm.nih.gov/pubmed/25558465 Abstract Imaging...
Improving Conceptual Understanding of Signals and Systems in Undergraduate Engineering Students Using Collaborative In-Class Laboratory Exercises
Jun. 12, 2014—Rao, A. S., Fan, J., Brame, C. J., Landman, B. A., “Improving Conceptual Understanding of Signals and Systems in Undergraduate Engineering Students Using Collaborative In-Class Laboratory Exercises.” In American Society for Engineering Education Annual Conference & Exposition. June 2014† Full text: https://www.asee.org/public/conferences/32/papers/9790/view
Evaluation of Statistical Inference on Empirical Resting State fMRI.
May. 31, 2014—Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman, “Evaluation of Statistical Inference on Empirical Resting State fMRI.” IEEE Transactions on Biomedical Engineering. IEEE Trans Biomed Eng. 2014 Apr;61(4):1091-9. PMC24658234† Full text: https://www.ncbi.nlm.nih.gov/pubmed/24658234 Abstract Modern statistical inference techniques may be able to improve the sensitivity and specificity of resting state functional magnetic resonance imaging...
Groupwise Multi-Atlas Segmentation of the Spinal Cord’s Internal Structure.
Apr. 15, 2014—Andrew J. Asman, Frederick W. Bryan, Seth A. Smith, Daniel S. Reich, Bennett A. Landman. “Groupwise Multi-Atlas Segmentation of the Spinal Cord’s Internal Structure.” Medical Image Analysis (MedIA). 2014 Feb 5;18(3):460-471. PMC24556080† Full Text:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009677/ Abstract The spinal cord is an essential and vulnerable component of the central nervous system. Differentiating and localizing the spinal...
Self-Assessed Performance Improves Statistical Fusion of Image Labels.
Feb. 15, 2014—Frederick W. Bryan, Zhoubing Xu, Andrew J. Asman, Wade M. Allen, Daniel S. Reich, and Bennett A. Landman. “Self-Assessed Performance Improves Statistical Fusion of Image Labels.” Medical Physics. 2014 Mar;41(3):031903. PMC24593721† Full Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978333/ Abstract Purpose: Expert manual labeling is the gold standard for image segmentation, but this process is difficult, time-consuming, and prone...