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G. Ntua, Diploma Thesis: Simulation of tumor progress and response to radiotherapeutic schemes using Monte Carlo and control theory methods, Diploma in Electrical and Computer Engineering ECE, issue.710, p.68, 1994.

?. Lecturer and I. T. , of Western Greece (former ?.?.?. of Patras), for the acad (on the average 12h/week) Laboratory courses: Electrical Circuits ?, Electrical Circuits ??, Electrical Measurements, Introduction to operating systems and software, 2009.

?. Ass, Professor under 407/1980 contract, Dep.of Computer Engineering and Informatics, UPatras. Course: Computer Vision and Graphics (winter semesters, 2009.

?. Lecturer, College of Pedagogic and Technological Education (ASPAITE), Athens Courses: Electrical Circuits (theory and laboratory)

I. Work, . Research, and . Experience, Senior Research Associate in the Center for Visual Computing, Department of Applied Mathematics

I. 99ed124, Development of a 4D simulation model of in vivo tumor growth and response to radiation therapy Experienced system supporting diagnosis of psychopathological entities and assessment of therapy interventions, Principal Investigator: Myrsini Makropoulou ? 1 Principal Investigator, 2000.

V. Dissertations and ?. , Doctoral Thesis Development of algorithms for medical image registration and computer simulation of tumor behavior aiming at supporting clinical decisions in radiooncology (in greek), 2004.

?. D. Thesis, Simulation of tumor progress and response to radiotherapeutic schemes using Monte Carlo and control theory methods (in greek), 1999.

J. Papers, J. E. Pippa, E. I. Zacharaki, M. Koutroumanidis, and V. Megalooikonomou, Data fusion for paroxysmal events' classification from EEG, Journal of Neuroscience Methods

J. E. Pippa, V. G. Kanas, E. I. Zacharaki, V. Tsirka, M. Koutroumanidis et al., EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition, International Journal of Monitoring and Surveillance Technologies Research, vol.4, issue.2, 2016.
DOI : 10.4018/IJMSTR.2016040101
URL : https://hal.archives-ouvertes.fr/hal-01359125

J. N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot et al., (Hyper)-graphical models in biomedical image analysis, Medical Image Analysis, vol.33, pp.102-106
DOI : 10.1016/j.media.2016.06.028
URL : https://hal.archives-ouvertes.fr/hal-01359107

J. S. Alchatzidis, A. Sotiras, E. I. Zacharaki, and N. Paragios, A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation, International Journal of Computer Vision, vol.34, issue.1, pp.1-13, 2016.
DOI : 10.1016/j.compmedimag.2009.05.007
URL : https://hal.archives-ouvertes.fr/hal-01359094

J. E. Zacharaki, I. Mporas, K. Garganis, and V. Megalooikonomou, Spike pattern recognition by supervised classification in low dimensional embedding space, Brain Informatics, vol.119, issue.2, pp.73-83
DOI : 10.1016/j.clinph.2008.04.009
URL : https://hal.archives-ouvertes.fr/hal-01359155

J. E. Pippa, E. I. Zacharaki, I. Mporas, V. Tsirka, M. Richardson et al., Improving classification of epileptic and non-epileptic EEG events by feature selection, Neurocomputing, vol.171, pp.576-585
DOI : 10.1016/j.neucom.2015.06.071

J. V. Kanas, E. I. Zacharaki, C. Davatzikos, K. N. Sgarbas, and V. Megalooikonomou, A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker, Biomedical Signal Processing and Control, vol.22, pp.19-30
DOI : 10.1016/j.bspc.2015.06.004

J. I. Mporas, V. Tsirka, E. I. Zacharaki, M. Koutroumanidis, M. Richardson et al., Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients, Expert Systems with Applications, vol.42, issue.6, pp.3227-3222
DOI : 10.1016/j.eswa.2014.12.009

J. G. Erus, E. I. Zacharaki, and C. Davatzikos, Individualized statistical learning from medical image databases: Application to identification of brain lesions, Medical Image Analysis, vol.18, issue.3, pp.542-554, 2014.
DOI : 10.1016/j.media.2014.02.003

J. E. Zacharaki, N. Morita, P. Bhatt, D. M. O-'rourke, E. R. Melhem et al., Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables, American Journal of Neuroradiology, vol.33, issue.6, pp.1065-71
DOI : 10.3174/ajnr.A2939

J. E. Zacharaki and A. Bezerianos, Abnormality Segmentation in Brain Images Via Distributed Estimation, IEEE Transactions on Information Technology in Biomedicine, vol.16, issue.3, pp.330-338, 2012.
DOI : 10.1109/TITB.2011.2178422

J. E. Zacharaki, V. G. Kanas, and C. Davatzikos, Investigating machine learning techniques for MRI-based classification of brain neoplasms, International Journal of Computer Assisted Radiology and Surgery, vol.25, issue.2, pp.821-828, 2011.
DOI : 10.1148/radiol.2432060493

J. E. Zacharaki, S. Wang, S. Chawla, D. S. Yoo, R. Wolf et al., Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme, Magnetic Resonance in Medicine, vol.17, issue.6, pp.1609-1627, 2009.
DOI : 10.1109/34.689305

J. Y. Zheng, S. Englander, S. Baloch, E. I. Zacharaki, Y. Fan et al., STEP: Spatiotemporal enhancement pattern for MR-based breast tumor diagnosis, Medical Physics, vol.9, issue.7, pp.3192-3204, 2009.
DOI : 10.1016/j.media.2005.01.001
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2852449/pdf

J. E. Zacharaki, C. S. Hogea, D. Shen, G. Biros, and C. Davatzikos, Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth, NeuroImage, vol.46, issue.3, pp.762-774, 2009.
DOI : 10.1016/j.neuroimage.2009.01.051

J. R. Verma, E. I. Zacharaki, Y. Ou, H. Cai, S. Chawla et al., Multiparametric Tissue Characterization of Brain Neoplasms and Their Recurrence Using Pattern Classification of MR Images, Academic Radiology, vol.15, issue.8, pp.966-977, 2008.
DOI : 10.1016/j.acra.2008.01.029

J. E. Zacharaki, D. Shen, S. Lee, and C. Davatzikos, ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images, IEEE Transactions on Medical Imaging, vol.27, issue.8, pp.1003-1017, 2008.
DOI : 10.1109/TMI.2008.916954

J. E. Zacharaki, C. S. Hogea, G. Biros, and C. Davatzikos, A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images, IEEE Transactions on Biomedical Engineering, vol.55, issue.3, pp.1233-1236, 2008.
DOI : 10.1109/TBME.2007.905484

J. A. Mohamed, E. I. Zacharaki, D. Shen, and C. Davatzikos, Deformable registration of brain tumor images via a statistical model of tumor-induced deformation, Medical Image Analysis, vol.10, issue.5, pp.752-763, 2006.
DOI : 10.1016/j.media.2006.06.005

J. E. Ntasis, M. Gletsos, N. A. Mouravliansky, E. I. Zacharaki, C. Vasios et al., Telematics enabled virtual simulation system for radiation treatment planning, Computers in Biology and Medicine, vol.35, issue.9, pp.765-781, 2005.
DOI : 10.1016/j.compbiomed.2004.06.007

J. E. Zacharaki, G. S. Stamatakos, K. S. Nikita, and N. K. Uzunoglu, Simulating growth dynamics and radiation response of avascular tumour spheroids???model validation in the case of an EMT6/Ro multicellular spheroid, Computer Methods and Programs in Biomedicine, vol.76, issue.3, pp.193-206, 2004.
DOI : 10.1016/j.cmpb.2004.07.003

J. E. Zacharaki, G. K. Matsopoulos, P. A. Asvestas, K. S. Nikita, K. Gröndahl et al., A digital subtraction radiography scheme based on automatic multiresolution registration, Dentomaxillofacial Radiology, vol.33, issue.6, pp.379-390, 2004.
DOI : 10.1259/dmfr.24.1.8593908

J. G. Stamatakos, D. D. Dionysiou, E. I. Zacharaki, N. A. Mouravliansky, K. S. Nikita et al., In silico radiation oncology: combining novel simulation algorithms with current visualization techniques, Proceedings of the IEEE, vol.90, issue.11, pp.1764-1777, 2002.
DOI : 10.1109/JPROC.2002.804685

J. G. Stamatakos, E. I. Zacharaki, M. I. Makropoulou, N. A. Mouravliansky, A. Marsh et al., Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization, IEEE Transactions on Information Technology in Biomedicine, vol.5, issue.4, pp.279-289, 2001.
DOI : 10.1109/4233.966103

J. G. Stamatakos, E. I. Zacharaki, N. ?. Uzunoglu, and K. S. Nikita, Tumor growth and response to irradiation in vitro: a technologically advanced simulation model, International Journal of Radiation Oncology*Biology*Physics, vol.51, issue.3, pp.240-241, 2001.
DOI : 10.1016/S0360-3016(01)02262-3

J. G. Stamatakos, E. I. Zacharaki, M. Makropoulou, N. Mouravliansky, K. S. Nikita et al., Tumour growth in vitro and tumour response to irradiation schemes: a simulation model and virtual reality visualization, Radiotherapy and Oncology, vol.56, pp.179-180, 2000.

B. V. Book, D. Megalooikonomou, E. I. Triantafyllopoulos, I. Zacharaki, and . Mporas, Offline Analysis Server and Offline algorithms, Cyberphysical Systems for Epilepsy and Related Brain Disorders, pp.239-254, 2015.

B. V. Megalooikonomou, D. Triantafyllopoulos, E. I. Zacharaki, and I. Mporas, DSMS and Online Algorithms, Cyberphysical Systems for Epilepsy and Related Brain Disorders, pp.271-279, 2015.
DOI : 10.1007/978-3-319-20049-1_14

C. A. Amidi, S. Amidi, D. Vlachakis, N. Paragios, and E. I. Zacharaki, A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors, Conference Proceedings High rank conferences and conferences publishing chapters in books, pp.728-738, 2016.
DOI : 10.1007/978-3-319-31744-1_63
URL : https://hal.archives-ouvertes.fr/hal-01359157

C. A. Tzalavra, K. Dalakleidi, E. I. Zacharaki, N. Tsiaparas, F. Constantinidis et al., Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based On DCE-MRI, 7th Int, Machine Learning in Medical Imaging (MICCAI workshop), 2016.

C. E. Kornaropoulos, E. I. Zacharaki, P. Zerbib, C. Lin, A. Rahmouni et al., Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI, 2016 IEEE International Conference on Image Processing (ICIP), 2016.
DOI : 10.1109/ICIP.2016.7532778
URL : https://hal.archives-ouvertes.fr/hal-01324238

C. E. Kornaropoulos, E. I. Zacharaki, P. Zerbib, C. Lin, A. Rahmouni et al., Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016.
DOI : 10.1109/CVPRW.2016.83
URL : https://hal.archives-ouvertes.fr/hal-01324229

C. V. Kanas, E. I. Zacharaki, E. Pippa, V. Tsirka, M. Koutroumanidis et al., Classification of epileptic and non-epileptic events using tensor decomposition, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE), 2002.
DOI : 10.1109/BIBE.2015.7367731

C. I. Mporas, V. Tsirka, E. I. Zacharaki, M. Koutroumanidis, and V. Megalooikonomou, Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients, Artificial Intelligence: Methods and Applications Lecture Notes in Computer Science, vol.8445, pp.442-447, 2014.
DOI : 10.1007/978-3-319-07064-3_37

C. A. Tzalavra, E. I. Zacharaki, N. N. Tsiaparas, F. Constantinidis, and K. S. Nikita, A multiresolution analysis framework for breast tumor classification based on DCE-MRI, 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings, 2014.
DOI : 10.1109/IST.2014.6958482

C. E. Zacharaki, K. Garganis, I. Mporas, and V. Megalooikonomou, Spike detection in EEG by LPP and SVM, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp.668-671, 2014.
DOI : 10.1109/BHI.2014.6864452

C. Mporas, P. Korvesis, E. I. Zacharaki, and V. Megalooikonomou, Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs, Engineering Applications of Neural Networks (EANN), vol.384, pp.138-145, 2013.
DOI : 10.1007/978-3-642-41016-1_15

C. E. Zacharaki, E. Pippa, A. Koupparis, V. Kokkinos, G. Kostopoulos et al., One-class classification of temporal EEG patterns for K-complex extraction, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013.
DOI : 10.1109/EMBC.2013.6610870

C. E. Zacharaki, A. Skoura, L. An, D. Smith, and . Megalooikonomou, Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation, IFIP Advances in Information and Communication Technology, pp.566-575, 2012.
DOI : 10.1007/978-3-642-33412-2_58
URL : https://hal.archives-ouvertes.fr/hal-01523042

C. V. Kanas, E. I. Zacharaki, E. Dermatas, A. Bezerianos, K. Sgarbas et al., Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation, IFIP Advances in Information and Communication Technology, pp.26-35, 2012.
DOI : 10.1007/978-3-642-33412-2_3
URL : https://hal.archives-ouvertes.fr/hal-01523040

C. E. Zacharaki, G. Erus, A. Bezerianos, and C. Davatzikos, Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts, IFIP Advances in Information and Communication Technology, pp.76-85, 2012.
DOI : 10.1007/978-3-642-33412-2_8
URL : https://hal.archives-ouvertes.fr/hal-01523052

C. E. Zacharaki, A. Skoura, L. An, D. J. Smith, S. H. Faro et al., Combining gene expression and function in a spatially localized approach, 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012.
DOI : 10.1109/BIBM.2012.6392675

C. K. Dimitrakopoulou, G. Dimitrakopoulos, E. I. Zacharaki, I. A. Maraziotis, K. Sgarbas et al., Revealing the dynamic modularity of composite biological networks in breast cancer treatment, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012.
DOI : 10.1109/EMBC.2012.6347223

C. S. Kadoury, G. Erus, ?. I. Zacharaki, N. Paragios, and C. Davatzikos, Manifold-constrained embeddings for the detection of white matter lesions in brain MRI, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.2-5, 2012.
DOI : 10.1109/ISBI.2012.6235610
URL : https://hal.archives-ouvertes.fr/hal-00856297

C. C. Davatzikos, E. I. Zacharaki, A. Gooya, and V. Clark, Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6979-81, 2011.
DOI : 10.1109/IEMBS.2011.6091764

C. G. Erus, E. I. Zacharaki, R. N. Bryan, and C. Davatzikos, Learning high-dimensional image statistics for abnormality detection on medical images, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, 2010.
DOI : 10.1109/CVPRW.2010.5543141

C. E. Zacharaki, S. Wang, S. Chawla, D. S. Yoo, R. Wolf et al., MRIbased classification of brain tumor type and grade using SVM-RFE, th IEEE International Symposium on Biomedical Imaging, 2009.
DOI : 10.1109/isbi.2009.5193232

C. E. Zacharaki, C. S. Hogea, D. Shen, G. Biros, and C. Davatzikos, Parallel optimization of tumor model parameters for fast registration of brain tumor images, Medical Imaging 2008: Image Processing, pp.1-10, 2008.
DOI : 10.1117/12.767788

C. E. Zacharaki, S. Kanterakis, R. N. Bryan, and C. Davatzikos, Measuring Brain Lesion Progression with a Supervised Tissue Classification System, Medical Image Computing and Computer Assisted Intervention Lecture Notes in Computer Science, vol.5241, pp.620-627, 2008.
DOI : 10.1007/978-3-540-85988-8_74

C. N. Batmanghelich, X. Wu, E. I. Zacharaki, C. E. Markowitz, C. Davatzikos et al., Multiparametric tissue abnormality characterization using manifold regularization, Medical Imaging 2008: Computer-Aided Diagnosis, pp.1-6, 2008.
DOI : 10.1117/12.770837

C. E. Zacharaki, R. Verma, S. Chawla, E. R. Melhem, R. Wolf et al., Towards predicting neoplastic recurrence with multi-parametric MR, ISMRM 16 th Annual Meeting and Exhibition, 2008.

C. E. Zacharaki, D. Shen, A. Mohamed, and C. Davatzikos, Registration of Brain Images with Tumors: Towards the Construction of Statistical Atlases for Therapy Planning, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006.
DOI : 10.1109/ISBI.2006.1624886

C. E. Zacharaki, G. S. Stamatakos, N. K. Uzunoglu, and K. S. Nikita, Stochastic modeling and validation of growth saturation and radiotherapeutic response of multicellular tumor spheroids, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3039-3042, 2004.
DOI : 10.1109/IEMBS.2004.1403860

C. E. Zacharaki, G. K. Matsopoulos, K. S. Nikita, and G. S. Stamatakos, An application of multimodal image registration and fusion in a 3D tumor simulation model, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), pp.686-689, 2003.
DOI : 10.1109/IEMBS.2003.1279856

C. E. Zacharaki, G. K. Matsopoulos, K. S. Nikita, and G. S. Stamatakos, 3D image registration and fusion tools in simulating tumor evolution, rd IASTED Int. Conf.on Visualization, Imaging, and Image Processing, pp.307-311, 2003.

C. N. Mouravliansky, E. I. Zacharaki, P. Asvestas, G. Matsopoulos, K. Delibasis et al., Image registration based on lifting process and genetic optimization: an application to dental imaging, rd IASTED Int. Conf. on Visualization, Imaging, and Image Processing, pp.312-316, 2003.

C. N. Mouravliansky, G. Matsopoulos, K. Delibasis, E. I. Zacharaki, P. Asvestas et al., Image Registration Based on Lifting Process: an Application to Dental Imaging, nd European Medical & Biological Engineering Conference, pp.852-853, 2002.

C. E. Zacharaki, P. Asvestas, G. K. Matsopoulos, K. K. Delibasis, and K. S. Nikita, An automatic registration scheme based on similarity measures: an application to dental imaging, 23 rd Annual Int. Conf, pp.2429-2432, 2001.
DOI : 10.1109/iembs.2001.1017268

C. G. Stamatakos, E. Zacharaki, N. Mouravliansky, K. Delibassis, K. Nikita et al., Using Web technologies and meta-computing to visualize a simplified simulation model of tumor growth in vitro Ordinary conferences/workshops C32Classification of Epileptic and Non-Epileptic EEG Events, ITIS-ITAB '99 th Int. Conf. on Wireless Mobile Communication and Healthcare, pp.31-32, 1999.

C. Mporas, V. Tsirka, E. I. Zacharaki, M. Koutroumanidis, and V. Megalooikonomou, Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals, Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA '14, 2014.
DOI : 10.1162/089976601300014493

C. Charisi, F. D. Malliaros, E. I. Zacharaki, and V. Megalooikonomou, Multiresolution similarity search in time series data, Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA '13, 2013.
DOI : 10.1145/2504335.2504370

C. ?. Zacharaki and A. Bezerianos, Segmentation of pathology by statistical modeling and distributed estimation, 2011 10th International Workshop on Biomedical Engineering, 2011.
DOI : 10.1109/IWBE.2011.6079015

C. N. Morita, M. Harada, E. Zacharaki, P. Bhatt, S. Chawla et al., Correlation between Diffusion Tensor and Perfusion Imaging in segmented enhancing lesion with high grade glioma, Joint Annual Meeting ISMRM-ESMRMB, 2010.

C. S. Magnitsky, E. I. Zacharaki, R. Verma, R. M. Walton, J. H. Wolfe et al., Longitudinal Detection of Neuronal Stem Cells Labeled with Types of Iron Oxide Particles, Joint Annual Meeting ISMRM-ESMRMB, 2007.

C. E. Zacharaki, G. S. Stamatakos, and N. K. Uzunoglu, Computer simulation of tumour spheroid behaviour as a platform for understanding cancer in silico, 1 st International Advanced Research Workshop on In Silico Oncology: Advances and Challenges, pp.54-55, 2004.

G. K. Nikita, T. A. Maniatis, E. Ntasis, M. Gletsos, N. Mouravliansky et al., The Virtual Simulation System «Galenos» (?? ????????? ????????? ?????????? «???????»), Oncological Review (?????????? ?????????), vol.3, issue.3, pp.180-186, 2001.

G. E. Zacharaki, E. Pippa, A. Koupparis, G. K. Kostopoulos, and V. Megalooikonomou, Classification of EEG waveforms by spectral clustering, th Panhellenic Conference on Biomedical Technology, pp.93-94, 2013.

G. E. Zacharaki, Computer simulation of tumor growth and response to irradiation, th Panhellenic Conference on Radiotherapeutic Oncology, pp.135-137, 2001.

G. K. Nikita, T. A. Maniatis, E. Ntasis, M. Gletsos, N. Mouravliansky et al., The Virtual Simulation System «Galenos», 10 th Panhellenic Conference of Clinical Oncology, 2001.

G. G. Stamatakos, E. Zacharaki, N. Mouravliansky, M. Makropoulou, K. Nikita et al., Simulation of in vitro tumor response to radiotherapeutic schemes, nd Panhellenic Conference on Biomedical Technology, pp.136-141, 1999.

Z. G. Chassagnon, C. Martin, P. Burgel, D. Hubert, I. Fajac et al., Structural abnormalities in the Cystic Fibrosis lung: an automated Computed Tomography score, European Respiratory Journal

Z. A. Amidi, S. Amidi, D. Vlachakis, N. Paragios, and E. I. Zacharaki, Automatic single-and multilabel enzymatic function prediction by machine learning, IEEE/ACM Trans. Computational Biology and Bioinformatics
DOI : 10.7717/peerj.3095
URL : https://hal.archives-ouvertes.fr/hal-01648529

Z. V. Kanas, E. I. Zacharaki, G. A. Thomas, P. O. Zinn, V. Megalooikonomou et al., Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma, Computer Methods and Programs in Biomedicine, vol.140
DOI : 10.1016/j.cmpb.2016.12.018
URL : https://hal.archives-ouvertes.fr/hal-01423323

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