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Thesis

  1. A. Goh.
    Estimation and Processing of Orientation Distribution Functions for High Angular Resolution Diffusion Images.
    Ph.D. Thesis. Johns Hopkins University, Department of Biomedical Engineering. May 2010.

Journals

  1. A. Goh, C. Lenglet, P. M. Thompson and R. Vidal.
    A Nonparametric Riemannian Framework for Processing Orientation Distribution Functions (ODF) and its Applications to ODF-based Morphometry
    Under Review for Neuroimage, Elsevier.
  2. A. Goh, C. Lenglet, P. M. Thompson and R. Vidal.
    A Convex Framework for Estimation Orientation Distribution Functions with Non-negativity Constraints and Spatial Regularity
    Under review for Medical Image Analysis, Elsevier.
  3. A. Goh and R. Vidal.
    Locally Linear Manifold Clustering (LLMC)
    Under review for Journal of Machine Learning Research (JMLR)

Conferences

  1. A. Goh, C. Lenglet, P. Thompson and R. Vidal.
    Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity
    Accepted for poster presentation at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2009. (MICCAI 2009)
  2. A. Goh.
    Deterministic Tractography using Orientation Distribution Functions Estimated with Probability Density Constraints and Spatial Regularity
    Accepted for presentation at Workshop on Diffusion Modeling and the Fiber Cup in MICCAI 2009.
  3. A. Goh, C. Lenglet, P. M. Thompson and R. Vidal.
    A Nonparametric Riemannian Framework for Processing High Angular Diffusion Images (HARDI)
    Accepted for oral presentation at the IEEE International Conference on Computer Vision and Pattern Recognition, 2009. (CVPR 2009)
  4. A. Goh and R. Vidal.
    Unsupervised Segmentation of Fiber Bundles in Diffusion Tensor Images
    Accepted for poster presentation at the European Conference on Computer Vision, 2008. (ECCV 2008)
  5. A. Goh and R. Vidal.
    Unsupervised Riemannian Clustering of Probability Density Functions
    Accepted for oral presentation at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008. (ECML PKDD 2008)
  6. A. Goh and R. Vidal.
    Clustering and Dimensionality Reduction on Riemannian Manifolds
    Accepted for poster presentation at the IEEE International Conference on Computer Vision and Pattern Recognition, 2008. (CVPR 2008)
  7. A. Goh and R. Vidal.
    Segmenting Motions of Different Types by Unsupervised Manifold Clustering
    Accepted for poster presentation at the IEEE International Conference on Computer Vision and Pattern Recognition, 2007. (CVPR 2007)
  8. A. Goh and R. Vidal.
    Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images
    Accepted for poster presentation at the European Conference on Computer Vision, 2006. (ECCV 2006)
  9. A. Goh and R. Vidal.
    An Algebraic Solution to Rigid Registration of Diffusion Tensor Images
    Accepted for oral presentation at the IEEE International Symposium on Biomedical Imaging, 2006. (ISBI 2006)


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