1. C Lian, X Cao, I Rekik, X Xu, and P Yan. Machine Learning in Medical Imaging  (MLMI) LNCS Springer Proceedings (2021).  ISBN: 978-3-030-87589-3
  2. S Albarqouni, M. J Cardoso, Q Dou, K Kamnitsas, B Khanal, I Rekik, N Rieke, D Sheet, S Tsaftaris, D Xu, and Z Xu.  Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health (2021). ISBN: 978-3-030-87722-4
  3. I Rekik, E Adeli, S.H Park, and J Schnabel. Predictive Intelligence in Medicine (PRIME) LNSC Proceedings (2021). ISBN: ISBN: 978-3-030-87602-9
  4. T Liu, D Shen, Y Gao, H Greenspan, W Niessen, I Rekik, J Schnabel and J Thrall. Special issue on intelligent analysis of COVID-19 imaging data, Journal of Medical Image Analysis (2021).
  5. M Reuter, C Wachinger, H Lombaert, N Paniagua, O Goksel and I Rekik. Shape in Medical Imaging (ShapeMI) LNCS Springer Proceedings (2020). ISBN: 978-3-030-61056-2
  6. I Rekik, E Adeli, S.H Park, and M Valdes Hernandez. Predictive Intelligence in Medicine (PRIME) LNSC Proceedings (2020). ISBN: 978-3-030-59354-4
  7. I Rekik, E Adeli, S.H Park, and D Shen. Special Issue on Predictive Intelligence in Biomedical and Health Informatics. IEEE Journal of Biomedical and Health Informatics (2019).
  8. M.D Schirmer, A Venkataraman,  I Rekik, M Kim, and A.W Chung. Connectomics in Neuroimaging (CNI) Springer LNCS Proceedings (2019). ISBN: 978-3-030-32391-2
  9. I Rekik, E Adeli, and S.H Park. Predictive Intelligence in MEdicine (PRIME) LNCS Springer Proceedings (2019). ISBN: 978-3-030-32281-6
  10. I Rekik, G Unal, E Adeli, and S.H Park. The 1st Workshop on Predictive Intelligence in MEdicine (PRIME) LNCS Springer Proceedings (2018). ISBN: 978-3-030-00320-3
  11. G Wu, I Rekik, M Schrimer, A.W Chung, and B Munsell. The 2nd Workshop on Connectomics in NeuroImaging (CNI) LNCS Springer Proceedings (2018). ISBN: 978-3-030-00755-3
  12. L Zhou, I Rekik, C Yan, G Wu. Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics, 1-1 (2018).
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