Ismail Ben Ayed

Associate Professor, Ecole de Technologie Superieure (ETS)

ETS Research Chair on Artificial Intelligence in Medical Imaging

1100 Notre-Dame Ouest, Montreal, QC H3C 1K3, CANADA
Office: A-3596
 
Emails: ismail.benayed@etsmtl.ca;
               ismail.benayed@gmail.com

Phone (office): 1 (514) 396 8800  ext. 7206

Research Interests


Student and post-doc opportunities 


Yes, I am currently looking for excellent PhD students and postdoctoral fellows in vision, learning and medical image analysis. If you are passionate about these areas and have excellent mathematical/programming skills, then drop me an email (we might spend a couple of years working together!)

Selection of recent publications

 A complete list ca be found  here

        

     J. Dolz, I. Ben Ayed and C. Desrosiers, DOPE: Distributed Optimization for Pairwise Energies, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawai, pp. 6779-6788, 2017. 




     J. Dolz, C. Desrosiers and I. Ben Ayed, 3D fully convolutional networks for
subcortical segmentation in MRI: A large-scale study, Neuroimage, In press, 2017.
Code here: https://github.com/josedolz/LiviaNET





   M. L. Gorelick, Y. Boykov, O. Veskler, I. Ben Ayed and A. Delong, Local Submodularization for Binary Pairwise Energies, IEEE Transactions on on Pattern Analysis and Machine Intelligence (TPAMI), 2017, Vol. 39, No. 10, pp. 1985–1999. Code here (LSA-TR):  http://vision.csd.uwo.ca/code/




   J. Dolz, I. Ben Ayed and C. Desrosiers, Unbiased Shape Compactness for Segmentation, Medical Image Computing and Computer Assisted Intervention (MICCAI),  Vol. LNCS 10433, pp. 755-763, Quebec, QC  (MICCAI travel award), 2017. Code here: https://github.com/josedolz/UnbiasedShapeCompactness




   D. Marin, M. Tang, I. Ben Ayed and Y. Boykov, Kernel clustering: density biases and solutions, IEEE Transactions on on Pattern Analysis and Machine Intelligence (TPAMI), second revision, 2017.




   M. Tang, D. Marin, I. Ben Ayed and Y. Boykov, Normalized Cut meets MRF, European Conference on Computer Vision (ECCV), Vol. LNCS 9906, pp. 748-765, Amsterdam, The Netherlands (Oral presentation), 2016.
Code here: https://github.com/meng-tang/KernelCut

        

     B. Miles, I. Ben Ayed, S-P. Hojjat, M. Wang, S. Li, A. Fenster, Gr. J. Garvin, Spine labeling in axial magnetic resonance imaging via integral kernels, Computerized Medical Imaging and Graphics, Vol. 54, pp. 27-34, 2016.  ©Elsevier




      K. Punithakumar, I. Ben Ayed, M. Afshin, A. Goela, A. Islam, S. Li, P. Boulanger, H. Becher, M. Noga, Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences, Computer Methods and Programs in Biomedicine, Vol. 124, pp. 58-66, 2016.  ©Elsevier


        
  I. Ben Ayed, K. Punithakumar and S. Li, Distribution Matching with the Bhattacharyya Similarity: a Bound Optimization Framework, IEEE Transactions on on Pattern Analysis and Machine Intelligence, Vol. 37, No. 9, pp. 1777-1791, 2015.  ©IEEE



        

  Y. Boykov, H. N. Isack, C. Olsson, I. Ben Ayed, Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions, International Conference on Computer Vision (ICCV), pp. 1769-1777, Santiago, Chile,  2015.  ©IEEE



        

  M. Tang, I. Ben Ayed, D. Marin and Y. Boykov, Secrets of GrabCut and Kernel K-means, International Conference on Computer Vision (ICCV), pp. 1555-1563, Santiago, Chile,  2015.  
Code here: https://github.com/meng-tang/KernelCut_ICCV15/ 

               

     C. Petitjean, M. A Zuluaga, J. N Dacher, D. Grosgeorge, J. Caudron, W Bai, I. Ben
Ayed, M. J. Cardoso et al., Right Ventricle Segmentation From Cardiac MRI: A Collation Study, Medical Image Analysis, Vol. 19, No. 1, pp.187-202, 2015.  ©Elsevier


                        

    I. Njeh, L. Sallemi, I. Ben Ayed, K. Chtourou, S. Lehericy, D. Galanaud and A. Ben Hamida, 3D Multimodal MRI Brain Glioma Tumor and Edema Segmentation: A Graph Cut Distribution Matching Approach, Computerized Medical Imaging and Graphics, Vol. 40 , pp. 108-119, 2015.  ©Elsevier


                       
    K. Punithakumar, M. Noga, I. Ben Ayed and P. Boulanger, Right Ventricle Segmentation in Cardiac MRI with moving mesh correspondences, Computerized Medical Imaging and Graphics, Vol. 43 , pp. 15-25, 2015.  ©Elsevier

                        

     M. Ben Salah, I. Ben Ayed, J. Yuan, and H. Zhang, Convex-relaxed kernel mapping for image segmentation, IEEE Transactions on Image Processing, Vol. 23, No. 3, pp. 1143-1153, 2014.  ©IEEE



                        

     M. Afshin, I. Ben Ayed, K. Punithakumar, M. W. K. Law, A. Islam, A. Goela, T. M.
Peters, and Li S, Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features, IEEE Transactions on Medical Imaging, Vol. 33, No. 2, pp. 481-494, 2014.  ©IEEE



      M. Tang, I. Ben Ayed and Y. Boykov, Pseudo-Bound Optimization for Binary Energies, European Conference on Computer Vision (ECCV) , Vol. LNCS 8693, pp. 691-707, Zurich, Switzerland (Oral presentation), 2014.
Code here:  https://github.com/meng-tang/PBO/




      I. Ben Ayed, M. Wang, B. Miles and Gregory J. Garvin, TRIC: Trust Region for Invariant Compactness and its application to abdominal aorta segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 8673, pp. 381-388, Boston, MA, 2014.

                        
     C. M. S. Nambakhsh, J. Yuan, K. Punithkumar, A. Goela, M. Rajchl, T. Peters and I. Ben Ayed, Left Ventricle Segmentation in MRI via Convex Relaxed Distribution  Matching, Medical Image Analysis, Vol.  17, No. 8, pp. 1010-1024, 2013.  ©Elsevier



                        

       B. Miles, I. Ben Ayed, M. W. K. Law, G. Garvin, A. Fenster and S. Li, Spine Image Fusion via Graph Cuts, IEEE Transactions on Biomedical Engineering, Vol.  60, No. 7, pp. 1841-1850, 2013.  ©IEEE

                       

       K. Punithakumar, I. Ben Ayed, A. Islam, A. Goela, I. G. Ross, J. Chong and S. Li, Regional Heart Motion Abnormality Detection: An Information Theoretic Approach, Medical Image Analysis, Vol.  17, No. 3, pp. 311-324, 2013.  ©Elsevier         




     I. Ben Ayed, L. Gorelick and Y. Boykov, Auxiliary Cuts for General Classes of Higher-Order Functionals, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  pp. 1304-1311, Portland, Oregon, 2013 (Oral presentation). Slides for the CVPR talk.




     C. M.S. Nambakhsh, T. M. Peters, A. Islam and I. Ben Ayed, Right Ventricle Segmentation with Probability Product Kernel Constraints, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 8149, pp. 509-517, Nagoya, Japan, 2013.                                                                                                                                               
    
                        
    M. Ben Salah, I. Ben Ayed, and A. Mitiche, Active Curve Recovery of Region Boundary Patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.  34, No. 5, pp. 834-849, 2012.  ©IEEE                                                     

                                                                                                                                                                                                                          
   I. Ben Ayed, H-M Chen, K. Punithakumar, I. Ross, and S. Li, Max-flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via  a Bound of the Bhattacharyya Measure, Medical Image Analysis,  Vol. 16, No. 1 , pp. 87-100, 2012. ©Elsevier


                        
       K. Punithakumar, J. Yuan, I. Ben Ayed, S. Li and Y. Boykov, A Convex Max-Flow Approach to Figure-Ground Separation, SIAM Journal of Imaging Sciences, Vol.  5, No. 4, pp. 1333-1354, 2012.  ©SIAM  


     I. Ben Ayed, K. Punithakumar, R. Minhas, R. Joshi and G. J. Garvin,   Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7510, pp. 520-527, Nice, France, 2012.


      K. Punithakumar, I. Ben Ayed, A. Islam, A. Goela and S. Li, Regional Heart Motion Abnormality Detection via Multiview Fusion, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7511, pp. 527-534 Nice, France, 2012.



     M. Afshin, I. Ben Ayed, A. Islam, A. Goela, T. M. Peters and S. Li, Global Assessment of Cardiac Function Using Image Statistics in MRI, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7511, pp. 535-543, Nice, France, 2012.
                                                                                             

                                                                                                                                                           M. Ben Salah, A. Mitiche, and I. Ben Ayed, Multiregion Image Segmentation by Parametric Kernel Graph Cuts, IEEE Transactions on Image Processing,,  Vol. 20, No. 2 , pp. 545-557, 2011. Code here 

                                                                                                                                                                                  
     I. Ben Ayed, K. Punithakumar, G. Garvin, W. Romano, and S. Li, Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation,  Information Processing in Medical Imaging (IPMI), Vol.  LNCS 6801, pp. 171-183, Monastery Irsee, Germany, 2011. ©Springer



Patents



I. Ben Ayed, P. Kumaradevan, S-P Hojjat and G. Garvin, Methods and Apparatus to Generate Three-Dimensional Spinal Renderings, US Patent No. US9064307, obtained in June 2015 (filed in June 2013) 





Tutorials


Level-Sets, Tutorial at the Medical Image Computing and Computer Assisted
Intervention Conference (MICCAI 2014), Massachusetts Institute of Technology, Cam-
bridge, MA

  • S. H. Ibrahim, L. Axel, C. Mekkaoui, D. Metaxas, R. Sinkus, Ben Ayed, A. S. Fahmy,
Heart Mechanics by Magnetic Resonance Imaging: Techniques and Applications, Tutorial
at the International Symposium on Biomedical Imaging (ISBI 20016), Prague,
Czech Republic

Books

                                                                                                                                                        A. Mitiche and  I. Ben Ayed, Variational and Level Set Methods in Image Segmentation, 2011, Springer, 1st Edition (192 pages). ©Springer

Award


  • Outstanding Reviewer Award (CVPR 2015)

  • GE innovation award (2010)

Media coverage 




  • Article on the ETS Research Chair on Artificial Intelligence on Medical Imaging, The Metro Newspaper, January 2017

Recent activities (Selection) 



Innovation in Medical Technology), since June 2016