List of Publications

Journal papers

  1. E.I. Zacharaki, S. Wang, S. Chawla, D.S. Yoo, R. Wolf, E.R. Melhem, C. Davatzikos, Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme, Magnetic Resonance in Medicine, vol. 62, pp. 1609-1618, 2009.
  2. Y. Zheng, S. Englander, S. Baloch, E.I. Zacharaki, Y. Fan, M.D. Schnall, D. Shen, STEP: Spatio-Temporal Enhancement Pattern for MR-based Breast Tumor Diagnosis, Medical Physics, vol. 36, no. 7, pp. 3192-3204, 2009.
  3. E.I. Zacharaki, C.S. Hogea, D. Shen, G. Biros, C. Davatzikos, Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth, Neuroimage, vol.46, no. 3, pp. 762-774, 2009.
  4. R. Verma, E.I. Zacharaki, Y. Ou, H. Cai, S. Chawla, R. Wolf, S.-K. Lee, E.R. Melhem, C. Davatzikos, Multi-parametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images, Academic Radiology, vol.15, pp. 966977, 2008.
  5. E.I. Zacharaki, D. Shen, S.-K. Lee and C. Davatzikos, ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images, IEEE Trans. Medical Imaging, vol. 27, no. 8, pp. 1003-1017, 2008.
  6. E.I. Zacharaki, C.S. Hogea, G. Biros and C. Davatzikos, A comparative study of biomechanical simulators in deformable registration of brain tumor images, IEEE Trans. Biomedical Engineering, vol.55, no.3, pp1233-1236, 2008.
  7. A. Mohamed, E.I. Zacharaki, D. Shen, C. Davatzikos, Deformable Registration of Brain Tumor Images via a Statistical Model of Tumor-Induced Deformation, Medical Image Analysis for the MICCAI 2005 Special Issue, vol.10, pp.752-763, 2006.
  8. E. Ntasis, M. Gletsos, N.A. Mouravliansky, E.I. Zacharaki, C. Vasios, S. Golemati, T.A. Maniatis and K.S. Nikita, Telematics Enabled Virtual Simulation System for Radiation Treatment Planning, Computers in Biology and Medicine, vol. 35, no. 9, pp. 765-781, November 2005.
  9. E.I. 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, no.3, pp.193-206, December 2004.
  10. E.I. Zacharaki, G.K. Matsopoulos, P.A. Asvestas, K.S. Nikita, K. Grondahl, H.-G. Grondahl, A digital subtraction radiography scheme based on automatic multiresolution registration, Dentomaxillofacial Radiology, vol.33, no.6, pp.379-390, November 2004.
  11. G.S. Stamatakos, D.D. Dionysiou, E.I. Zacharaki, N.A. Mouravliansky, K.S. Nikita, and N. Uzunoglu, In Silico Radiation Oncology: Combining Novel Simulation Algorithms with Current Visualization Techniques, Proceedings of the IEEE, vol.90, no.11, pp.1764-1777, November 2002, invited paper.
  12. G.S. Stamatakos, E.I. Zacharaki, M.I. Makropoulou, N.A. Mouravliansky, A. Marsh, K.S. Nikita, N. Uzunoglu, Modeling Tumor Growth and Irradiation Response in Vitro: a Combination of High Performance Computing and Web Based Technologies Including VRML Visualization, IEEE Trans. Inform. Technol. Biomed, vol.5, no.4, December 2001.
  13. G.S. Stamatakos, E.I. Zacharaki, N.. Uzunoglu, K.S. Nikita, Tumor Growth and Response to Irradiation in Vitro: a Technologically Advanced Simulation Model, Int. J. Oncol. Biol. Phys. vol.51, Suppl.1, pp.240-241, 2001.
  14. G.S. Stamatakos, E.I. Zacharaki, M. Makropoulou, N. Mouravliansky, K.S. Nikita, N. Uzunoglu, Tumour growth in vitro and tumour response to irradiation schemes: a simulation model and virtual reality visualization, Radiotherapy and Oncology, vol.56, Suppl.1, pp.179-180, Elsevier, 2000.
  15. G. Stamatakos, E. Zacharaki, N. Mouravliansky, K. Delibasis, K.S. Nikita, N.K. Uzunoglu and A. Marsh, Using Web technologies and meta-computing to visualize a simplified simulation model of tumour growth in vitro, High-Performance Computing and Networking, Lecture Notes in Computer Science, vol. 1593, pp.973-982, 1999.

International Conference Papers

  1. G. Erus, E.I. Zacharaki, R.N. Bryan, C. Davatzikos, Learning high-dimensional image statistics for abnormality detection on medical images, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10), San Francisco, CA, June 14, 2010.
  2. N. Morita, M.Harada, E. Zacharaki, P.Bhatt, S. Chawla, E.R. Melhem, H.Nishitani, Correlation between Diffusion Tensor and Perfusion Imaging in segmented enhancing lesion with high grade glioma, Joint Annual Meeting ISMRM-ESMRMB, Stockholm, Sweden, May 1-7, 2010.
  3. E.I. Zacharaki, S. Wang, S. Chawla, D.S. Yoo, R. Wolf, E.R. Melhem, C. Davatzikos, MRI-based classification of brain tumor type and grade using SVM-RFE, 6th IEEE International Symposium on Biomedical Imaging (ISBI 2009), Boston, Massachusetts, USA, June 28- July 1, 2009.
  4. E.I. Zacharaki, S. Kanterakis, R.N. Bryan, C. Davatzikos, Measuring brain lesion progression with a supervised tissue classification system, MICCAI 2008, September 6 -10, 2008, New York, USA.
  5. E.I. Zacharaki, R. Verma, S. Chawla, E.R. Melhem, R. Wolf, C. Davatzikos, Towards predicting neoplastic recurrence with multi-parametric MR, ISMRM 16th Annual Meeting and Exhibition, May 3-6, 2008, Toronto, Canada.
  6. E.I. Zacharaki, C.S. Hogea, D. Shen, G. Biros, C. Davatzikos, Parallel optimization of tumor model parameters for fast registration of brain tumor images, SPIE Medical Imaging 2008: Image Processing, vol. 6914, Issue 1, article 0K, pp. 1-10, 2008.
  7. N. Batmanghelich, X. Wu, E.I. Zacharaki, C.E. Markowitz, C. Davatzikos, R. Verma, Multiparametric Tissue Abnormality Characterization using Manifold Regularization, SPIE Medical Imaging 2008: Computer-Aided Diagnosis, vol. 6915, Issue 1, article 16, pp. 1-6, 2008.
  8. S. Magnitsky, E.I. Zacharaki, R. Verma, R.M. Walton, J.H. Wolfe and H. Poptani, Longitudinal Detection of Neuronal Stem Cells Labeled with Types of Iron Oxide Particles, Joint Annual Meeting ISMRM-ESMRMB, May 19-25, 2007.
  9. E.I. Zacharaki, D. Shen, A. Mohamed, C. Davatzikos, Registration of brain images with tumors: Towards the construction of statistical atlases for therapy planning, 3rd IEEE International Symposium on Biomedical Imaging (ISBI 2006), April 2006.
  10. E.I. Zacharaki, G.S. Stamatakos, N.K. Uzunoglu, Computer simulation of tumour spheroid behaviour as a platform for understanding cancer in silico, 1st International Advanced Research Workshop on In Silico Oncology: Advances and Challenges, pp. 54-55, Sparta, Greece, September 9-11, 2004.
  11. E.I. Zacharaki, G.S. Stamatakos, N.K. Uzunoglu, K.S. Nikita, Stochastic modeling and validation of growth saturation and radiotherapeutic response of multicellular tumor spheroids, 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3039-3042, San Francisco, California, September 1-5, 2004.
  12. E.I. Zacharaki, G.K. Matsopoulos, K.S. Nikita, G.S. Stamatakos, An application of multimodal image registration and fusion in a 3D tumor simulation model, 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 686-689, Cancun, Mexiko, September 17-21, 2003.
  13. E.I. Zacharaki, G.K. Matsopoulos, K.S. Nikita, G.S. Stamatakos, 3D image registration and fusion tools in simulating tumor evolution, 3rd IASTED International Conference on Visualization, Imaging, and Image Processing, pp. 307-311, Benalmadena, Spain, September 8-10, 2003.
  14. N. Mouravliansky, E.I. Zacharaki, P. Asvestas, G. Matsopoulos, K. Delibasis, K.S. Nikita, Image registration based on lifting process and genetic optimization: an application to dental imaging, 3rd IASTED International Conference on Visualization, Imaging, and Image Processing, pp. 312-316, Benalmadena, Spain, September 8-10, 2003.
  15. N. Mouravliansky, G. Matsopoulos, K. Delibasis, E.I. Zacharaki, P. Asvestas, K.S. Nikita, Image Registration Based on Lifting Process: an Application to Dental Imaging, 2nd European Medical & Biological Engineering Conference, pp.852-853, Vienna, December4-8, 2002.
  16. E.I. 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, 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol.3, pp.2429-2432, Istanbul, Turkey, October 25-28, 2001.
  17. G. Stamatakos, E. Zacharaki, N. Mouravliansky, K. Delibassis, K. Nikita, N. Uzunoglu and A.Marsh, Using Web technologies and meta-computing to visualize a simplified simulation model of tumor growth in vitro, IEEE EMBS International Conference on Information Technology Applications in Biomedicine, ITIS-ITAB '99, pp. 31-32, 1999.

Papers in Greek Conferences

  1. E.I. Zacharaki, A Simulation Model of Tumor Growth and Response to Irradiation, 6th Hellenic Symposium on Radiotherapeutic Oncology, pp.135-137, Paros, Greece, September 27-30, 2001 (in greek).
  2. K.S. Nikita, T.A. Maniatis, E. Ntasis, M. Gletsos, N. Mouravliansky, C. Vasios, E.I. Zacharaki, Galinos: A virtual simulator software system, 10th Hellenic Symposium on Clinical Oncology, Athens, Greece, March 29-31, 2001 (in greek).
  3. G.S. Stamatakos, E.I. Zacharaki, N. Mouravliansky, M. Makropoulou, K.S. Nikita, N. Uzunoglu, A simulation model of in vitro tumor response to radiotherapeutic schemes, 2nd Hellenic Symposium on Biomedical Engineering, pp.136-141, Athens, Greece, November 5-6, 1999 (in greek).

Other Articles

  1. K.S. Nikita, T.A. Maniatis, E. Ntasis, M. Gletsos, N. Mouravliansky, C. Vasios, E.I. Zacharaki, Galinos: A virtual simulator software system, Oncologiki Enimerosi (Oncological Review), vol. 3, no. 3, pp.180-186, 2001 (in greek).

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