Golland P, Kikinis R, Halle M, Umans C, Grimson WE, Shenton ME, Richolt JA Comput. Aided Surg. 1999;4(3):129-43 PMID: 10528270 Abstract In this article, we present a novel technique for visualization of three-dimensional (3D) surface models, as well as its implementation in a system called AnatomyBrowser. Using our approach, visualization… read more →
McInerney T, Hamarneh G, Shenton M, Terzopoulos D Med Image Anal 2002 Sep;6(3):251-66 PMID: 12270230 Abstract We introduce a new approach to medical image analysis that combines deformable model methodologies with concepts from the field of artificial life. In particular, we propose “deformable organisms”, autonomous agents whose task is the… read more →
Sabuncu MR, Shenton ME, Golland P Med Image Comput Comput Assist Interv 2007;10(WS):47-54 PMID: 20224763 Abstract We demonstrate an EM-based algorithm that jointly registers and clusters a group of images using an affine transformation model. The output is a small number of prototype images that represent the different modes of… read more →
Balci SK, Golland P, Shenton M, Wells WM Med Image Comput Comput Assist Interv 2007;10(WS):23-30 PMID: 20224762 Abstract In this work, we extend a previously demonstrated entropy based groupwise registration method to include a free-form deformation model based on B-splines. We provide an efficient implementation using stochastic gradient descents in… read more →
Pohl KM, Fisher J, Levitt JJ, Shenton ME, Kikinis R, Grimson WE, Wells WM Med Image Comput Comput Assist Interv 2005;8(Pt 1):310-8 PMID: 16685860 Abstract We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm… read more →
Pohl KM, Bouix S, Shenton ME, Grimson WE, Kikinis R Med Image Comput Comput Assist Interv 2007;26(9):1201-1212 PMID: 20407623 Abstract Many neuroanatomy studies rely on brain tissue segmentations of magnetic resonance images (MRI). We present a segmentation tool, which performs this task automatically by analyzing the MRIs as well as… read more →
Park HJ, Kubicki M, Shenton ME, Guimond A, McCarley RW, Maier SE, Kikinis R, Jolesz FA, Westin CF Neuroimage 2003 Dec;20(4):1995-2009 PMID: 14683705 Abstract Diffusion Tensor MRI (DT-MRI) can provide important in vivo information for the detection of brain abnormalities in diseases characterized by compromised neural connectivity. To quantify diffusion… read more →
Pohl KM, Fisher J, Bouix S, Shenton ME, McCarley RW, Grimson WE, Kikinis R, Wells WM Med Image Anal 2007 Oct;11(5):465-77 PMID: 17698403 Abstract The logarithm of the odds ratio (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology, as an alternative representation of probabilities.… read more →
