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Journal Article

  1. [POPA-11]E. Popa, Karras, D. A., Mertzios, B. G., Sima, D. M., de Beer, R., van Ormondt, D., and Graveron-Demilly, D., “Semi-parametric estimation without searching in function space: application to in vivo metabolite quantitation”, MEASUREMENT SCIENCE & TECHNOLOGY, vol. 22, 2011.
  2. [PAPA-11]G. A. Papakostas, Karras, D. A., Mertzios, B. G., van Ormondt, D., and Graveron-Demilly, D., “In vivo MRS metabolite quantification using genetic optimization”, MEASUREMENT SCIENCE & TECHNOLOGY, vol. 22, 2011.
  3. [KARR-01a]D. A. Karras, Reczko, M., Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Bayesian MRI Reconstruction in sparsely sampled k-spaces with priors based on self organizing feature maps”, NIMIA-SC2001 -2001 NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement and Related Applications: Study Cases, pp. 85-89, 2001.
  4. [RECZ-01c]M. Reczko, Karras, D. A., Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Improved MR Image Reconstruction from Sparsely Sampled Scans on Neural Networks”, Pattern Recogn Lett, vol. 22, pp. 35-46, 2001.

Conference Paper

  1. [DEBE-10]R. de Beer, van Ormondt, D., Karras, D. A., Starcuk, Z., Cesare, D. F., and Graveron-Demilly, D., “Accelerating batched 1D-FFT with a CUDA-capable computer, Calling CUDA library functions from a Java environment”, in Proceedings of the 2010 IEEE International Workshop on Imaging Systems and Technics, Thessaloniki, Greece, 2010, pp. 441-446.
  2. [POPA-10b]E. Popa, Karras, D. A., Mertzios, B. G., Sima, D., de Beer, R., van Ormondt, D., and Graveron-Demilly, D., “Handling Arbitrary Unknown Lineshape in In Vivo MRS Without Searching in Function Space”, in Proceedings of the 2010 IEEE International Workshop on Imaging Systems and Technics, Thessaloniki, Greece, 2010, pp. 361-364.
  3. [KARR-05]D. A. Karras, Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration”, in Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, 2005, vol. 3587, pp. 325-333.
  4. [KARR-05a]D. A. Karras, Mertzios, B., Graveron-Demilly, D., and van Ormondt, D., “Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration”, in Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, 2005, vol. 3587.
  5. [KARR-03]D. A. Karras, Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Improved Bayesian MRI Reconstruction Involving Neural Priors Based On A Regularization Approach”, in The International Joint Conference on Neural Networks,(IJCNN 2003) IEEE Cat.No. 03CH37464C, ISBN 0-7803-7899-7, ISBN 0-7803-7898-9 (printed), ISSN: 1098-7576, Portland, Oregon, USA, 2003, vol. 1, pp. 596-600.
  6. [RECZ-01b]M. Reczko, Karras, D. A., Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Improved MRI reconstruction from reduced k-space by integrating neural priors in the Bayesian restoration”, in Some Congress, Some City, Some Country, 2001, p. (in-press).
  7. [KARR-01b]D. A. Karras, Reczko, M., Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “Bayesian MRI reconstruction in sparsely sampled k-spaces with priors based on self organizing feature maps”, in NIMIA-SC2001, Crema, Italy, 2001, pp. 85-89.

Book Chapter

  1. [PAPA-10]G. A. Papakostas, Karras, D. A., Mertzios, B. G., Graveron-Demilly, D., and van Ormondt, D., “A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification”, in Grid and Distributed Computing, Control and Automation, vol. 121, Spinger, 2010, pp. 257-268.

Miscellaneous

  1. [RECZ-01a]M. Reczko, Karras, D. A., Mertzios, V., Graveron-Demilly, D., and van Ormondt, D., “Combining prior knowledge from neural networks and Bayesian reconstruction for reduced MRI scans”. 2001.