EEE Staff Profile Ali GooyaDr Ali Gooya

Lecturer, IIF Marie-Curie Research Fellow

Department of Electronic and Electrical Engineering
University of Sheffield
Pam Liversidge Building
Mappin Street
Sheffield S1 3JD

Email: a.gooya@sheffield.ac.uk
Tel: +44 (0) 114 222 5397
Ext: 25397

Profile: scholar.google.co.uk/citations

Profile

Dr Ali Gooya obtained his MSc in Bio-Electronic Engineering from the University of Tehran (with honours), and was awarded a Monbusho scholarship by the Japanese government for his PhD in Information Science from the University of Tokyo (2007). He was subsequently awarded a post-doctoral research fellowship by Japan Society of Promotion of Science (JSPS) for inventing efficient vascular segmentation methods for image guided minimally invasive intervention purposes. Ali then joined the Section of Biomedical Image Analysis, the University of Pennsylvania to pursue his research on analysis of brain tumour images till 2011. Prior to his current post, Ali served as an Assistant Professor in the department of ECE, Tarbiat Modares University, Tehran. In 2014, he joined the University of Sheffield, as an IIF Marie-Curie Research Fellow for statistical learning of morphology and function of heart from a given population. He has been recently promoted to a Lecturer in Medical image Computing in the department of EEE, serving as a core academic in the centre of Computational Imaging & Simulation Technology in Biomedicine.

Research Interests

The target application fields for his research consists of: decision support systems for diagnoses/prognoses of diseases, statistical inference on populations, patient risk stratification, computational anatomy, and medical image processing. At the intersection of machine learning and medical imaging, Ali has developed a keen interest in the following topics:

  • Statistical and variational medical image computing
  • Group-wise analysis of high-dimensional biological patterns
  • Probabilistic generative/discriminative modelling
  • Bayesian inference
  • Graphical models

Awards:

FP7 IIF Marie-Curie Research Fellowship 2014-2016
JSPS Post-Doctoral Fellowship for Foreign Researchers 2007-2008
Japanese Governmental Monbusho PhD Scholarship 2004-2007

Selected 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, 1(66), pp.154-169, 2015.

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.

Ali 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).