Dr. Ali Gooya

Dr. Ali Gooya

I joined the University of Leeds as a Lecturer in September 2018. I obtained an MSc in Bioelectric Engineering from Tehran University and a PhD in Information Science from the University of Tokyo, supported by a Japanese Monbusho scholarship. In 2008, I was awarded a post-doctoral fellowship by Japan Society of Promotion of Science and shortly after, I moved to the University of Pennsylvania, USA, and worked on tumor image analysis till 2011. Subsequently, I served as an Assistant Professor at Tarbiat Modares University, Tehran. In 2014, I was awarded an IIF Marie-Curie Fellowship for statistical modelling of morphology and function of the heart in the University of Sheffield, where I was promoted to a Lecturer in the department of EEE prior to joining Leeds.

Lecturer in Computer Science


Areas of expertise: Deep Learning; Machine Learning; Probabilistic Graphical Models; Medical Image Computing; Population Imaging; Shape Analysis

Positions - I have funded positions for one PDRA and three international PhD students. If you have got the stamina to work within a world leading image computational group, and have the track record to innovate useful tools or contribute to the state-of-the-art, please contact me.

Research interests
My research interest includes probabilistic machine and deep learning, variational Bayesian inference, graphical models, and medical image computing. I have particular expertise in population imaging studies, generative models for shape and motion atlases, and computational tumor image analysis.

Software and Tools - I have developed multiple tools that are available for free academic use. If you use them, please cite the corresponding references. I would be very thankful!

GLISTR: Glioma Image Segmentation and Registration, Model Personalization (IEEE TMI, 2012)
Variational Bayesian Mixture of Probabilistic PCA for Shapes from Point Sets (IEEE TPAMI, 2018)
Group Wise Point Set Registration and Statistical Shape Modeling (SIAM, 2015)
Qualifications
BSc (University of Science and Technology, Iran)
MSc (University of Tehran, Iran)
PhD (University of Tokyo, Japan)
PGCert (University of Sheffield, UK)
Professional memberships
Member, IEEE
Marie-Curie IIF Research Fellow (Alumni)
Fellow, Higher Education Academy
Member, MICCAI Society
Student education
I will be focusing on Machine Learning and Artifical Intelligence.

 My five most recent selected publications:

Gooya A, Lekadir K, Castro-Mateos I, Pozo JM, Frangi AF. 2018. Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 891-904 40.4

Suinesiaputra A, Ablin P, Alba X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Parajuli N, Pennec X, Pereañez M, Pinto C, Piras P, Rohé M-M, Rueckert D, Säring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P. 2018. Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE Journal of Biomedical and Health Informatics. 503-515 22.2

Contact Details

  • E-mail:
  • Address
    Room 6.03, School of Computing, E C Stoner Building, Leeds
  • City
    Leeds
  • State or Province
    West Yorkshire
  • Zip Code
    LS2 9JT
  • Country
    United Kingdom
  • Telephone
    44 (0113) 343 1949