Ismail Ben Ayed

Research Scientist, GE Healthcare

Adjunct Professor,  Western University

268 Grosvenor street, E5-138, London, ON,  Canada
 
Emails: ismail.benayed@ge.com; ibenayed@uwo.ca

Phone (office): 1 (519) 646 6000  ext. 65425 

Research Interests


Short biography


Ismail Ben Ayed received the Ph.D. degree (with the highest honor) in the area of computer vision from the National Institute of Scientific Research (INRS-EMT), University of Quebec, Montreal, QC, Canada, in May 2007, under the guidance of Professor Amar Mitiche.  Since then, he has been a research scientist with GE Healthcare, London, ON, Canada, conducting research in medical image analysis. He also holds an Adjunct Professor appointment at Western University, department of Medical Biophysics. He co-authored a book, over 50 peer-reviewed papers in reputable journals and conferences, and six patents. He received a GE recognition award in 2012 and a GE innovation award in 2010.  

Publications (selection)

 

Books  and invited book chapters


                                                                                                                                                        2) I. Ben Ayed, Distribution-Matching Approaches to Medical Image Segmentation, in  Computer Vision in Medical Imaging, 2013, pp. 19–33, C. H. Chen Editor, World Scientific. ©World Scientific



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




Journal papers
 


        

22)  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, Accepted.  ©IEEE



                        

21) 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, Accepted.  ©Elsevier



                        

20) 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 ApproachComputerized Medical Imaging and Graphics, Accepted.  ©Elsevier



                        

19) 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



                        

18) 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


                        

17) 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




                        

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

                       

15) 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                                                                                                                                                        

    
                        
14) M. Ben Salah, I. Ben Ayed, and A. Mitiche, Active Curve Recovery of Region Boundary PatternsIEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.  34, No. 5, pp. 834-849, 2012.  ©IEEE                                                     


                                                                                                                                                                                                                          
13) 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



                        
12) 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                                                                                               



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


10)  K. Punithakumar, I. Ben Ayed, I. Ross, A. Islam, J. Chong and S. Li, Detection of Left Ventricular Motion Abnormality via Information  Measures and Bayesian Filtering, IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 4, pp. 1106-1113, 2010. ©IEEE                                                                                                                                                                                     

9) M. Ben Salah, A. Mitiche, and I. Ben Ayed, Effective Level Set Image Segmentation with a Kernel Induced Data TermIEEE Transactions on Image Processing, Vol.  19, No. 1, pp. 220-232, 2010. ©IEEE 




8)  K. Punithakumar, I. Ben Ayed, A. Islam, I. Ross and S. Li,  Tracking Endocardial Motion via Multiple Model FilteringIEEE Transactions on Biomedical Engineering, Vol. 57, No. 8, pp. 2001-2010, 2010.  ©IEEE   
                                                                                                                                                                                  
                                                                                                                                                    7) I. Ben Ayed, S. Li and I. Ross, Embedding Overlap Priors in Variational Left Ventricle TrackingIEEE Transactions on Medical Imaging, Vol. 28, No. 12, pp. 1902-1913, 2009. ©IEEE 



 6) I. Ben Ayed, S. Li and I. Ross, A Statistical Overlap Prior for Variational Image Segmentation, International Journal of Computer Vision, Vol. 85, No. 1, pp. 115-132, 2009.  ©Springer    
                                                                                                                                                                                    

5)  I. Ben Ayed, S. Li, I. Ross and A. Islam, Myocardium tracking via matching distributions, International Journal of Computer Assisted Radiology and Surgery, Vol. 4, No. 1, pp. 37-44, 2009.   ©Springer   
                                                                                                                                                                                  
                                                                                                                                                 
4) I. Ben Ayed and A. Mitiche,  A Region Merging Prior for Variational Level Set Image Segmentation, IEEE Transactions on Image Processing, Vol.  17, No. 12, pp. 2301-2311, 2008.  ©IEEE 



3)  I. Ben Ayed, A. Mitiche, and Z. Belhadj, Polarimetric Image Segmentation via Maximum Likelihood Approximation and Efficient Multiphase Level sets,  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 9, pp. 1493-1500, 2006. ©IEEE     
                                                                                                                                                                                
                                                                                                                                                        2) Ismail Ben Ayed, Nacera Hennane, and Amar Mitiche, Unsupervised Variational Image Segmentation/Classiļ¬cation using a Weibull Observation Model, IEEE Transactions on Image Processing, Vol. 15, No. 11, pp. 3431-3439, 2006.  ©IEEE


                                                                                                                                                       
1) I. Ben Ayed, A. Mitiche, and Z. Belhadj, Multiregion Level Set Partitioning of Synthetic Aperture Radar Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 5, pp. 793-800, 2005. ©IEEE 

Conference paper selection (full-paper peer reviewed)




26)  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), 2014.



25)  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.



24)  L. Gorelick, Y. Boykov, O. Veksler, I. Ben Ayed and A. Delong, Submodularization for Binary Pairwise EnergiesIEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1154-1161 Columbus, OH (Oral)




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




22)  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. 



21)  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.



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




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


18)  M. Afshin, I. Ben Ayed, K. Punithakumar, M. W. K. Law, A. Islam, A. Goela, I. G. Ross, T. M. Peters, and S. Li, Assessment of Regional Myocardial Function via Statistical Features in MR Images, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 6893, pp. 107-114, Toronto, Canada, 2011.  ©Springer
                                                                                                                                                                                  

17)  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




16)  M. S. Nambakhsh, J. Yuan, I. Ben Ayed, K. Punithakumar, A.  Islam, T. M.  Peters, and S. Li, A Convex Max-Flow Segmentation of LV using Subject-Specific Distributions on Cardiac MRIInformation Processing in Medical Imaging (IPMI), Vol. LNCS 6801, pp.221-232, Monastery Irsee, Germany, 2011. ©Springer


15) I. Ben Ayed, H-M Chen, K. Punithakumar, I. Ross, and S. Li, Graph Cut Segmentation with a Global Constraint: Recovering Region Distribution via a Bound of the Bhattacharyya Measure, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, pp. 3288-3295, 2010.  ©IEEE 
                                                                                                                                                              
14) I. Ben Ayed, A. Mitiche, M. Ben Salah, and S. Li, Finding Image Distributions on Active Curves, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, pp. 3225-3232, 2010.   ©IEEE 
 

 


13) K. Punithakumar, I. Ben Ayed, A. Islam, I. Ross and S. Li, Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering Medical Image Computing and Computer Assisted Intervention (MICCAI), Beijing, China, T. Jiang et al. (Eds.), Vol. LNCS 6361, pp. 409-417, 2010.  ©Springer 

                                                                                                                             
12) M. Ben Salah, A. Mitiche, and I. Ben Ayed, Image Partitioning with Kernel Mapping and Graph Cuts, IEEE International Conference on Image Processing (ICIP), Hong Kong, pp. 245 – 248, 2010.  ©IEEE 



                                                                                                                          
11) I. Ben Ayed, K. Punithakumar, S. Li, A. Islam, and J. Chong, Left Ventricle Segmentation via Graph Cut Distribution Matching, Medical Image Computing and Computer Assisted Intervention (MICCAI), London, G.-Z. Yang et al. (Eds.), Vol.  LNCS 5762, pp. 901 - 909, 2009.  ©Springer


                                                                                                                                               
10) K. Punithakumar, S. Li, I. Ben Ayed, A. Islam, I. Ross and J. Chong, Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering, Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, G.-Z. Yang et al. (Eds.), Vol. LNCS 5762, pp. 373 - 380, 2009. ©Springer
                                                                                                                                                                            
9) I. Ben Ayed, S. Li and I. Ross, Level Set Image Segmentation with a Statistical Overlap Constraint, Information Processing in Medical Imaging (IPMI), Williamsburg, VA, J. L. Prince et al. (Eds.), Vol. LNCS 5636, pp. 589 – 601, 2009.  ©Springer
                                          
                                                                
8)  K. Punithakumar, I. Ben Ayed, A. Islam, I. Ross and S. Li, Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering, Asiatic Conference on Computer Vision (ACCV), Xi’an China, H. Zha et al. (Eds.),  Vol. LNCS 5996, pp. 172 - 182.  ©Springer

                                                                                                                                                        
7)  M. Ben Salah, A. Mitiche and I. Ben Ayed, Image Segmentation in a Kernel-Induced Space, IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, pp. 2997-3000, 2009. ©IEEE

 
                                                                                                                                            
6) I. Ben Ayed, S. Li and I. Ross, Tracking Distributions with an Overlap Prior, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK,  pp. 1-7, 2008.  ©IEEE  


                                                                                                                                                     
5)  M. Ben Salah, A. Mitiche and I. Ben Ayed, A Continuous Labeling for Multiphase Graph Cut Image Partitioning, Advances in Visual Computing (ISVC), Las Vegas, NV, G. Bebis et al. (Eds.),  Vol.  LNCS 5358, pp. 268 – 277, 2008.  ©Springer


                                                                                                                                              
4)  I. Ben Ayed and A. Mitiche, Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation, Asiatic Conference on Computer Vision (ACCV 2007), Tokyo, Japan, Y. Yagi et al. (Eds.), Springer, LNCS 4843: 925 – 934.  ©Springer



3) I. Ben Ayed and A. Mitiche, A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation, IEEE International Conference on Image Processing (ICIP 2006), Atlanta, GA, 1641 – 1644. ©IEEE

                                                                                                                                          
2) I. Ben Ayed, A. Mitiche and Z. Belhadj, Level Set Curve Evolution Partitioning of Polarimetric Images, IEEE International Conference on Image Processing (ICIP 2005), Genoa, Italy, 1281 – 1284. ©IEEE

   

                                                                                                            

1) C. Vazquez, A. Mitiche and I. Ben Ayed, Image segmentation as regularized clustering: A fully global curve evolution method, IEEE International Conference on Image Processing (ICIP 2004), Singapore, 3464 – 3470. ©IEEE

Patents


6)  I. Ben Ayed, S. Li, I. Ross and R. Rankin, Systems and Methods for Tracking Images, U.S. Patent No. 8144930 B2, obtained in Mar. 2012 (filed in Dec. 2008)

5)   P. Kumaradevan, I. Ben Ayed, S. Li, I. Ross, A. Islam and R. Rankin, Methods, Apparatus and Articles of Manufacture to Track Endocardial Motion, U.S. Patent No. 8,811,705 B2, obtained in Aug. 2014, filed in Dec.  2009

4)  P. Kumaradevan, I. Ben Ayed, S. Li, I. Ross, A. Islam and R. Rankin, Methods, Apparatus and Articles of Manufacture to Process Cardiac Images to Detect Heart Motion Abnormalities, U.S. Patent No. 8,478,012 B2, obtained in Jul. 2013, filed in Dec. 2009

3)  I. Ben Ayed, S. Gill, P. Kumaradevan and G. Garvin, Automatic Detection of Vertebrae Boundaries in Spine Images, US 2014/0003684 A1, filed in June, 2012, published in Jan. 2014

2)  I. Ben, Ayed, D. Pavlov, P. Kumaradevan, S-P Hojjat and G. Garvin, Methods and Apparatus to Label Radiology Images, US Patent Application No. 2014/0143643 A1, filed in Jun. 2013, published in May 2014

1)   I. Ben Ayed, P. Kumaradevan, S-P Hojjat and G. Garvin, Methods and Apparatus to Generate Three-Dimensional Spinal Renderings, US Patent Application No. 13/930,983, filed in June 2013, not yet published 

Tutorials


1)   Y. Boykov, I. Ben Ayed, D. Cremers, M. Sonka, Medical Image Segmentation: Beyond
Level-Sets
, Tutorial at the Medical Image Computing and Computer Assisted
Intervention Conference (MICCAI 2014), Massachusetts Institute of Technology, Cam-
bridge, MA

Codes


1) Multiphase level set image segmentation (download here):

This  package contains routines to perform level set image segmentation according to various formulations, including:

  • several multiphase (multi-region) statements, including a fast scheme where the computation load grows linearly with the number of regions; and

  • various region-based image descriptions which generalize the standard piecewise constant Chan-Vese model; the descriptions include Gamma distribution models for image data corrupted by multiplicative noise as in remote sensing synthetic aperture radar (SAR), and medical imaging ultrasound. Also included is kernel mapping as an alternative to explicit image modeling.


1) Kernel graph cut  image segmentation (download here):

This code implements multi-region graph cut image segmentation according to the kernel-mapping formulation in M. Ben Salah, A. Mitiche, and I. Ben Ayed, Multiregion Image Segmentation by Parametric Kernel Graph Cuts, IEEE Transactions on Image Processing, 20(2): 545-557 (2011).

Service


1)  Regular  reviewer for:

  • IEEE Transactions on Medical Imaging

  • IEEE Transactions on Pattern Analysis and Machine Intelligence

  • International Journal of Computer Vision

  • IEEE Transactions on Image Processing

  • IEEE Transactions on Biomedical Engineering

  • Computer Vision and Image Understanding

  • Pattern Recognition

  • International Journal of Computer Assisted Radiology and Surgery


2)  Conference program committee member/reviewer for:


  • International conference on Computer Vision and Pattern Recognition (CVPR)

  • International Conference on Computer Vision (ICCV)

  • Medical Image Computing and Computer Assisted Intervention (MICCAI)

  • Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)

  • Information Processing in Medical Imaging (IPMI)