Alvina Goh
Biography
Dr. Alvina Goh obtained her Ph.D. from the Department of Biomedical Engineering at the Johns Hopkins University in May 2010. Currently, she is a researcher at the DSO National Labs and an adjunct assistant professor in the Department of Mathematics at the National University of Singapore. Her research interests include speech processing, machine learning, computer vision, and medical imaging.

Contact Info

agoh AT nus dot edu DOT. sg
Office: S17-05-17

Updates

  • Teaching in Semester 2 2013/2014: MA5232 - Modeling and Numerical Simulations
  • Please see below for open positions.
Open Positions
I am currently looking for graduate students (Masters or Ph.D.) interested in Computer Vision or Medical Imaging. Please contact me with a CV if you are interested.
  1. For Singaporean students interested in Computer Vision, there is an opening for the NUS-DSO President's Graduate Fellowship. Please see the following link for the proposed project under this fellowship.
  2. For students interested in Medical Imaging, please refer to the Computational Functional Anatomy lab at the Division of Bioengineering who I am collaborating with.
Education

Johns Hopkins University, Baltimore, MD (Aug 2004 - May 2010)

Ph.D., Biomedical Engineering
M.S.E., Applied Mathematics and Statistics (May 2009)

California Institute of Technology, Pasadena, CA (Sep 2000 - Jun 2001)

M.S., Electrical Engineering

University of Michigan, Ann Arbor, MI (Sep 1997 - May 2000)

B.S.E., Electrical Engineering (Summa Cum Laude)
B.S.E., Computer Engineering (Summa Cum Laude)
Publications

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.

Journal Articles

  1. J. Du, A. Goh, S. Kushnarev and A. Qiu.
    Geodesic Regression on Orientation Distribution Functions with its Application to Aging Study.
    Volume 87, 15 February 2014, Pages 416–426, Neuroimage, Elsevier, 2014.
  2. X. Yang, A. Goh, S.H.A. Chen and A. Qiu.
    Evolution of Hippocampal Shapes Across the Human Lifespan.
    Volume 34, Issue 11, November 2013, pages 3075-3085, Human Brain Mapping, 2013.
  3. J. Du, A. Goh and A. Qiu.
    Diffeomorphic Metric Mapping of High Angular Resolution Diffusion Imaging based on Riemannian Structure of Orientation Distribution Functions.
    Volume 31, Issue 5, 1 May 2012, Pages 1021-1033, IEEE Transactions on Medical Imaging, 2012.
  4. A. Goh, C. Lenglet, P. M. Thompson and R. Vidal.
    A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images and its Applications to ODF-based Morphometry
    Volume 56, Issue 3, 1 June 2011, Pages 1181-1201, Neuroimage, Elsevier, 2011.
  5. X. Yang, A. Goh and A. Qiu.
    Locally Linear Diffeomorphic Metric Embedding (LLDME) for Surface-Based Anatomical Shape Modeling
    Volume 56, Issue 1, 1 May 2011, Pages 149-161, Neuroimage, Elsevier, 2011.
  6. P. Fillard, M. Descoteaux, A. Goh, S. Gouttard, B. Jeurissen, J. Malcolm, A. Ramirez-Manzanares, M. Reisert, K. Sakaie, F. Tensaouti, T. Yo, J-F Mangin and C. Poupon.
    Quantitative Analysis of 10 Tractography Algorithms on a Realistic Diffusion MR Phantom
    Volume 56, Issue 1, 1 May 2011, Pages 220-234, Neuroimage, Elsevier, 2011.

Conference

  1. J. Du, A. Goh and A. Qiu.
    Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI).
    Accepted for oral presentation at the 1st International Conference on Geometric Science of Information (GSI), 2013.
  2. S. J. Leow, T. S. Lau, A. Goh, H. M. Peh, T. K. Ng, S. M. Siniscalchi and C.-H. Lee.
    A New Confidence Measure Combining Hidden Markov Models and Artificial Neural Networks of Phonemes for Effective Keyword Spotting.
    Accepted for oral presentation at the 8th International Symposium on Chinese Spoken Language Processing, 2012.
  3. J. Du, A. Goh and A. Qiu.
    Large Deformation Diffeomorphic Metric Mapping of Orientation Distribution Functions
    Accepted for oral presentation at the International Conference on Information Processing in Medical Imaging, 2011. (IPMI 2011)
  4. X. Yang, A. Goh and A. Qiu.
    Approximations of the Diffeomorphic Metric and their Applications in Shape Learning
    Accepted for poster presentation at the International Conference on Information Processing in Medical Imaging, 2011. (IPMI 2011)
  5. M. Chen, S. Pang, T.-J. Cham, A. Goh.
    Visual Tracking with Generative Template Model Based on Riemannian Manifold of Covariances
    Accepted for presentation at the International Conference on Information Fusion, 2011. (FUSION 2011)
  6. 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)
  7. 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.
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
Trivia
My academic genealogy.

eXTReMe Tracker