Dr. Ali Gooya

Dr. Ali Gooya

Current Position: IIF Marie-Curie Research Fellow

Current Projects: BALMORAL: Variational Basis Learning for Statistical Motion Atlases: Application to Quantitative Dynamic Cardiac Imaging

Research Interests: Machine Learning, Pattern Recognition, Medical Image Analysis

Recent Publications:

S. Shamekhi, M. H. M. Baygi, B. Azarian, A. Gooya,"A Novel Multi-scale Hessian based Spot Enhancement Filter for Two Dimensional Gel Electrophoresis Images", Computers in Biology and Medicine, 2015, accepted.

Ali Gooya, Karim Lekadir, Xenia Alba, Alejandro Frangi, "Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modelling", Information Processing in Medical Imaging (IPMI), 2015, (oral presentation, pdf).

Ali Gooya, Christos Davatzikos, Alejandro F Frangi, "A Bayesian Approach to Sparse Model Selection in Statistical Shape Models", SIAM Journal of Imaging Science, 8(2), 858–887, (pdf).

Ali Gooya, Kilian Pohl, Michel Billelo, Luigi Cirillo, George Biros, Elias R. Melhem, Christos Davatzikos,“GLISTR: Glioma Image Segmentation and Registration”, IEEE Transactions on Medical Imaging, 31(10), pp.1941-1954, Oct.2012.

Ali Gooya, H.Liao, I.Sakuma,“Generalization of Geometrical Flux Maximizing Flow on Riemannian for Improved Volumetric Blood Vessel Segmentation”, Computerized Medical Imaging and Graphics, 36(6), pp.474-83, Sep 2012.

Ali Gooya, George Biros, Christos Davatzikos,“Deformable Registration of Glioma Images Using EM and Diffusion Reaction Modeling”, IEEE Transactions on Medical Imaging, 30(2),pp.375-90,Feb.2011.

Ali Gooya, H.Liao, K.Matsumiya, K.Masamune, Y.Masutani, T.Dohi,“A variational method for geometric regularization of vascular segmentation in medical images”, IEEE Transactions on Image Processing, 17(8),pp.1295-312,Aug 2008.

A Gooya, H Liao, K Matsumiya, K Masamune, T Dohi. "Effective statistical edge integration using a flux maximizing scheme for volumetric vascular segmentation in MRA", Information Processing in Medical Imaging (IPMI), 2007, (oral presentation).

Contact Details

  • E-mail:
  • Address
    Department of Electronic and Electrical Engineering
  • City
    Mappin Street, Sheffield
  • State or Province
    South Yorkshire
  • Zip Code
    S1 3JD
  • Country
    United Kingdom
  • Telephone
    +44 (0) 114 222 5397
  • Fax
    +44 (0) 114 222 7890