Dr. Nishant Ravikumar

Dr. Nishant Ravikumar

Biography

Nishant Ravikumar is a Research Fellow at CISTIB, in the School of Computing, University of Leeds. He completed his PhD in 2017 at the University of Sheffield. Following this, he spent a couple of years as a postdoctoral researcher at the Pattern Recognition Lab, Friedrich-Alexander-University, Erlangen-Nuremberg. His previous work concentrated on shape registration and shape analysis, using probabilistic models. His current research interests are in developing algorithms that aid in the classification, segmentation and registration of medical images, for computer-aided diagnosis and interventions using machine learning.

Contact Details

  • E-mail:
  • Address
    School of Computing and School of Medicine
  • City
    Rm 8.05, Woodhouse Lane, Leeds
  • State or Province
    West Yorkshire
  • Zip Code
    LS2 9JT
  • Country
    United Kingdom
Thursday, 24 September 2015 00:00

Sparse Statistical Shape Modelling

DOWNLOADSSparse Statistical Shape Modelling

 

Sparse Statistical Shape Modelling
SparseSSM

 

 
 
 
Details
Description

The provided code is based on the work by A. Gooya et al. [1] which proposes a Gaussian mixture model based approach to training statistical shape models (SSMs). The novel feature of the proposed approach is the application of a symmetric Dirichlet prior on the mixture coefficients to enforce sparsity and search over a continuous space for the optimal number of Gaussian components, to address the common issue of over or under-fitting. Additionally, we provide code to reconstruct surfaces from the unstructured point sets generated, following SSM training.

References

[1] Gooya, Ali, Christos Davatzikos, and Alejandro F. Frangi. "A bayesian approach to sparse model selection in statistical shape models." SIAM Journal on Imaging Sciences 8.2 (2015): 858-887.

File Format

TAR.GZ File

DOI

http://dx.doi.org/10.6084/m9.figshare.1562325

Platform

Linux

Size of download

3.33 MB

People who contribute to this work

Nishant Ravikumar, Department of Mechanical Engineering, The University of Sheffield
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Ali Gooya School of Computing, University of Leeds
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Alejandro F. Frangi School of Computing, University of Leeds
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