Teresa   

Teresa Laudadio

 

 Contact details  

Education

 

Professional experience


Main research interests


Publications

International journals

  1. T. Laudadio, N. Mastronardi, L. Vanhamme, P. Van Hecke and S. Van Huffel, “Improved Lanczos algorithms for blackbox MRS data quantitation”, Journal of Magnetic Resonance, Vol. 157, pp. 292-297, 2002.

  2. T. Laudadio, Y. Selen, L. Vanhamme, P. Stoica, P. Van Hecke, S. Van Huffel, Subspace-based MRS data quantitation of multiplets using prior knowledge", Journal of Magnetic Resonance, Vol. 168, 2004, pp. 53-65.

  3. F. Diele, T. Laudadio, N. Mastronardi, On some Inverse Eigenvalue Problems with Toeplitz-related Structure, SIAM J. Matrix Analysis and  Applications, vol. 26, no. 1, 2004, pp. 285-294.

  4.  T. Laudadio, P. Pels, L. De Lathauwer, P. Van Hecke, S. Van Huffel, Tissue segmentation and classification of MRSI data using Canonical Correlation Analysis, Magnetic Resonance in Medicine,Vol. 54, 1519-1529, 2005.

  5. M. De Vos, T. Laudadio, A. W. Simonetti, A. Heerschap, S. Van Huffel, “Fast nosologic imaging of the brain”, Journal of Magnetic Resonance, Vol. 184, 2006, pp. 292-301.

  6. M. Ladisa, A. Lamura, T. Laudadio, G. Nico, “Model independent pre-processing of X-ray powder diffraction profiles”, Digital Signal Processing, Vol. 17, 2007, pp.327-334.

  7. M. Ladisa, A. Lamura, T. Laudadio, G. Nico, “Application of the HLSVD technique to the filtering of X-ray diffraction data”,  EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 39575, 8 pages, 2007. doi:10.1155/2007/39575.

  8.  M. Ladisa, A. Lamura, T. Laudadio, “Classification of crystallographic data using canonical correlation analysis”, EURASIP - Journal on Advances in Signal Processing, vol. 2007, Article ID 19260, 8 pages, 2007. doi:10.1155/2007/19260.

  9. T. Laudadio, M.C. Martinez-Bisbal, B. Celda, S. Van Huffel, “Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimnsional turbo spectroscopic imaging “, NMR in Biomedicine, Volume 21, Issue 4: 311-321, 2008.

  10. A. Guagliardi, C. Giannini, M. Ladisa, A. Lamura, T. Laudadio, A. Cedola, S. Lagomarsino, R. Cancedda, “Canonical correlation and quantitative phase analysis of microdiffraction patterns in bone tissue engineering”, Journal of Applied Crystallography, 40, 865-873, 2007.

  11. T. Laudadio, N. Mastronardi and M. Van Barel, “Computing a Lower Bound of the smallest Eigenvalue of a Symmetric Positive Definite Toeplitz Matrix”, IEEE Transactions on Information Theory, 54(10),  pp. 4726-4731, 2008.

  12. Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of the brain: segmentation and classification using MRI and MRSI'', NMR in Biomedicine, vol. 22, no. 4, pp. 374-390, 2009.

  13. Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of brain tumors using MRI and MRSI'', in Chapter 16 Brain tumors (part 1), (Hayat M.A., ed.), vol. 3 of “Tumors of the central nervous system”, Springer, 2011, pp. 155-168.

  14. Croitor-Sava A. R., Martinez-Bisbal M.C., Laudadio T., Piquer J., Celda B., Heerschap A., Sima D.M., Van Huffel S., ``Fusing in vivo and ex vivo NMR sources of information for brain tumor classification'', Measurement Science and Technology, vol. 22, no. 11, Nov. 2011, pp. 114012.15.

  15. M. Ladisa, A. Lamura, T. Laudadio, “Blind source separation and automatic tissue typing of microdiffraction data by hierarchical nonnegative matrix factorization”, Journal of applied crystallography, 46, pp. 1467–1474, 2013.

  16. T. Laudadio, A.R. Croitor Sava, Y. Li, N. Sauwen, D.M. Sima, S. Van Huffel, “NMF in MR Spectroscopy”, Book Chapter in “Non negative Matrix Factorisation Techniques: Advances in Theory and Applications”, Springer, pp. 161-177, 2016, Naik Ganesh R. (Ed.), ISBN 978-3-662-48331-2.

  17. Laudadio T., Croitor Sava A.R., Sima D.M., Wright A.J., Heerschap A., Mastronardi N., Van Huffel S., ``Hierarchical non-negative matrix factorization applied to three-dimensional 3T prostate MRSI data for automatic tissue charcterisation of the prostate'', NMR in Biomedicine, Vol 29, Issue 6, pp. 751-758, 2016, AID NBM3527, DOI: 10.1002/nbm.3527.

  18. T. Laudadio, N. Mastronardi, P. Van Dooren, "Numerical issues in computing the antitriangular factorization of symmetric indefinite matrices", Applied Numerical Mathematics, pp. 204–214, 116, 2017.

  19. G. Dellino, T. Laudadio, R. Mari, N. Mastronardi and C. Meloni, “A reliable Decision Support System for fresh-food supply chain management”, International Journal of Production Research, pp. 1-28, published online: 29 Aug 2017.

  20. G. Dellino, T. Laudadio, R. Mari, N. Mastronardi and C. Meloni, “Microforecasting methods for fresh food supply chain management: a computational study”, Mathematics and Computers in Simulation, in press.


Papers published in  proceedings
 

1.      T. Laudadio, N. Mastronardi, L. Vanhamme and S. Van Huffel, “Fast and stable algorithms for blackbox MRS data quantitation”, Proceedings of 12th PRORISC Workshop on Circuits, Systems and Signal ProcessingVeldhoven, The Netherlands, November 29-30, pp. 480-488, 2001.

2.      T. Laudadio, Y. Selen, L. Vanhamme, P. Stoica, P. Van Hecke, S. Van Huffel, “Subspace-based MRS data quantitation of multiplets using prior knowledge”, Twelfth Scientific Meeting and Exhibition, 15-21 May, 2004, International Society for Magnetic Resonance in Medicine (ISMRM), Kyoto, Japan, 2004.

3.      T. Laudadio, P. Pels, L. De Lathauwer, P. Van Hecke, S. Van Huffel, “Unsupervised tissue segmentation of MRSI data using Canonical Correlation Anaysis”, Thirteenth Scientific Meeting and Exhibition, 7-13 May 2005, International Society for Magnetic Resonance in Medicine (ISMRM), Miami, Florida, USA, 2005.

4.      T. Laudadio, P. Pels, L. De Lathauwer, P. Van Hecke, S. Van Huffel, “Tissue segmentation of MRSI data using Canonical Correlation Analysis”, Proceedings of the Second International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2005), Lisbon, Portugal, June 2005.

5.      T. Laudadio, S. Van Huffel, “Canonical Correlation Analysis applied to Chemical Shift Imaging data for cancer diagnosis”, Proceedings of  The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium, IEEE Benelux chapter on Biomedical Engineering, SPS-DARTS 2006, March 28-29, 2006, Metropolis, Antwerp, Belgium.

6.      S. Van Huffel, T. Laudadio, “Magnetic Resonance Spectroscopic Imaging: a survey of quantification and classification algorithms”, Proceedings of the 14th IFAC (International Federation of Automatic Control) Symposium on System Identification, SYSID 2006, March 29-31, Newcastle, Australia.

7.      De Vos M., Laudadio T., Simonetti A.W., Heerschap A., Van Huffel S., ``Fast nosologic imaging of the brain'', in Proc. of the 7th International Society of Magnetic Resonance in Medicine (ISMRM ), Seattle, US, May 2006, 1780 p.

8.      T. Laudadio, M.C. Martinez-Bisbal, B. Celda, S. Van Huffel, “Fast nosological imaging of 2DTSI brain data using Canonical Correlation Analysis”, in Proc. of the 8th International Society of Magnetic Resonance in Medicine (ISMRM ), Berlin, Germany, May 2007.

9.      Croitor Sava A., Laudadio T., Poullet J.B., Monleon D., Martinez-Bisbal M.C., Celda B., Van Huffel S., ``Data Fusion of HR-MAS and in-vivo Information with Application in Brain Tumor Recognition'', in Proc. of the 6th European Symposium on Biomedical Engineering (ESMBE 2008), Chania, Greece, p. 4, Jun. 2008.

10.  Laudadio T., Luts J., Martinez-Bisbal M.C., Celda B., Van Huffel S., ``Differentiation between brain metastasis and glioblastoma using MRI and two-dimensional Turbo Spectroscopic Imaging data'', in Proc. of the 4th European Medical and Biomedical Engineering congress (eMBEC), Antwerp, Belgium, pp. 1513-1516, Nov. 2008.

11.  Croitor Sava A., Laudadio T., Poullet J. B., Monleon D., Martinez-Bisbal M. C., Celda B. and Van Huffel S., ``Combining HR-MAS and In Vivo MRI and MRSI Information for Robust Brain Tumor Recognition'', in Proc. of the 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE 2008), Antwerp, Belgium,  pp. 340-343, Nov. 2008.

12.  Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Celda B., Van Huffel S., ``Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI'', in Proc. of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Albuquerque, New Mexico, pp. 1-8, Aug. 2009.

13. Laudadio T., Ladisa M., Lamura A., Li Y., Croitor A., Sima D., Van Huffel S., " Automatic tissue typing of prostate CSI data by hierarchical non-negative matrix factorization", ISMRM Benelux Chapter, January 14, 2013, Rotterdam, The Netherlands.

14. Laudadio T., Croitor Sava A.R., Sima D.M., Wright A., Heerschap A., Van Huffel S., ``Hierarchical non-negative matrix factorization applied to in vivo 3T MRSI prostate data for automatic detection and visualization of tumours'', ESMRMB 2013, 30th Annual Scientific Meeting, Toulouse (FR), October 3-5, 2013.

15. Croitor Sava A.R., Wright A., Sima D.M., Laudadio T., Van Huffel S., Heerschap A., Himmelreich U., ``Automatic Magnetic Resonance Spectroscopic Imaging segmentation using blind source separation techniques'', ESMRMB 2013, 30th Annual Scientific Meeting, Toulouse (FR), October 3-5, 2013.

16. Teresa LaudadioAnca Croitor Sava, Diana Sima, Alan Wright, Arend Heerschap, Nicola Mastronardi and Sabine Van Huffel, “Unsupervised tissue segmentation and classification of three-dimensional 3T prostate MRSI data by hierarchical non-negative matrix factorization for automatic tumour detection and visualization”, Congresso Nazionale SIMAI 2014, 7-10 luglio 2014, Taormina, Italia.

17. Gabriella Dellino, Teresa Laudadio, Renato Mari, Nicola Mastronardi, Carlo Meloni, “Algorithm design for fresh food demand forecasting and inventory optimization”, 44th Annual Conference of the Italian Operational Research Society, Como, 2-5 settembre 2014.

18. Gabriella Dellino, Teresa Laudadio, Renato Mari, Nicola Mastronardi, Carlo Meloni, “Sales forecasting models in the fresh food supply chain”, ICORES 2015, 4th International  Conference on Operations Research and Enterprise Systems, Lisbon (Portugal), January 10-12, 2015, pp. 419-426, SCITEPRESS, 2015. ISBN: 978-989-758-075-8.

19. Gabriella Dellino, Teresa Laudadio, Renato Mari, Nicola Mastronardi, Carlo Meloni and Silvano Vergura, “Energy Production Forecasting in a PV plant using Transfer Function Models”, IEEE 15th International Conference on Environment and Electrical Engineering, Rome (Italy), June 10-13, 2015.

20. Gabriella Dellino, Teresa Laudadio, Renato Mari, Nicola Mastronardi, Carlo Meloni, “Forecasting Methods for Short-Term Service Planning Decisions. A Computational Study”, MASCOT2015 - 14th MEETING ON APPLIED SCIENTIFIC COMPUTING AND TOOLS, June 9-12, Rome (Italy); Daniela Mansutti, Rosa Maria Spitaleri (Eds), MASCOT2015 Proceedings, IMACS Series in Computational and Applied Mathematics 20 (2017), IMACS, Rome, pages 180.

21. Gabriella Dellino, Teresa Laudadio, Renato Mari, Nicola Mastronardi, Carlo Meloni and Silvano Vergura, “Comparative Analysis of Forecasting Methods for Energy Production in a Photo-Voltaic plant”, AIRO 2015, Pisa, 7-10 September 2015.

       
Technical reports

1.      Laudadio T., Van Huffel S., “Extraction of independent components from fMRI data by Principal Component Analysis, Independent Component Analysis and Canonical Correlation Analysis”, Internal Report 04-89, ESAT-SISTA, K.U. Leuven, Leuven, Belgium.

2.      M. Ladisa, A. Lamura, T. Laudadio, G. Nico, “Filtering of X-ray diffraction data by HLSVD technique”, Internal Report n.97, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2006.

3.      T. Laudadio, M.C. Martinez-Bisbal, B. Celda, S. Van Huffel, “Fast nosological imaging of 2DTSI brain data using Canonical Correlation Analysis”, Internal Report 05-250, ESAT-SISTA, K.U. Leuven, Leuven, Belgium, 2005.

4.      M. De Vos, T. Laudadio, A. W. Simonetti, A. Heerschap, S. Van Huffel, “Fast nosologic imaging of the brain”, Internal Report 06-37, ESAT-SISTA, K.U. Leuven, Leuven, Belgium, 2006.

5.      M. Ladisa, A. Lamura, T. Laudadio, “Canonical Correlation Analysis as a new tool for classification of crystallographic data”, Internal Report n.95, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2006.

6.      M. Ladisa, A. Lamura, T. Laudadio, G. Nico, “Pre-processing of X-ray powder diffraction profiles”, Internal Report n.96, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2006.

7.      M. De Vos, P. Pels, T. Laudadio, S. Van Huffel, J. Kurhanewicz, S. Nelson, “Automation of spectroscopic scoring of prostate MRSI by a canonical analysis based classification”, Internal Report 06-110, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2006.

8.      A. Guagliardi, C. Giannini, M. Ladisa, A. Lamura, T. Laudadio, A. Cedola, S. Lagomarsino, R. Cancedda, “Applying Canonical correlation to bone tissue engineering”, Internal Report n.121, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2007.

9.      T. Laudadio, N. Mastronardi, R. Vandebril, Marc Van Barel, “A survey of algorithms to compute a lower bound of the smallest eigenvalue of symmetric positive definite Toeplitz matrices”, Internal Report n.10, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2007.

10.  Luts J., Laudadio T., Idema A.J., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of the brain: combined MRI and MRSI segmentation and classification'', Internal Report 08-52, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2008.

11.  Croitor Sava A., Laudadio T., Poullet J.B., Monleon D., Martinez-Bisbal M.C., Celda B., Van Huffel S., ``Data Fusion of HR-MAS and in-vivo Information with Application in Brain Tumor Recognition'', Internal Report 08-74, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2008.

12.  T. Laudadio, G. Attolico, “Automatic detection of leather surface defects by using advanced signal and image processing algorithms”, Internal Report n.154, Istituto Applicazioni del Calcolo, IAC-CNR, Bari, Italy, 2008.