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Van den Bosch, T., Valentin, L., Van Schoubroeck, D., Luts, J., Bignardi, T., Condous, G., Epstein, E., Leone, F., Testa, A., Van Huffel, S., Bourne, T., Timmerman, D. (2012). The detection of intracavitary uterine pathology using off-line analysis of 3-dimensional ultrasound volumes: interobserver agreement and diagnostic accuracy. Ultrasound in Obstetrics & Gynecology, epub ahead of print, art.nr. 10.1002/uog.11163.
Luts, J., Molenberghs, G., Verbeke, G., Van Huffel, S., Suykens, J. (2012). A mixed effects least squares support vector machine model for classification of longitudinal data. Computational Statistics & Data Analysis, 56 (3), 611-628.
Pexsters, A., Luts, J., Van Schoubroeck, D., Bottomley, C., Van Calster, B., Van Huffel, S., Abdallah, Y., D'Hooghe, T., Lees, C., Timmerman, D., Bourne, T. (2011). Clinical implications of intra- and inter-observer reproducibility of first trimester measurements performed with transvaginal ultrasound between 6 and 9 weeks gestation. Ultrasound in Obstetrics & Gynecology, 38 (5), 510-515.
Van den Bosch, T., Van Schoubroeck, D., Luts, J., Bignardi, T., Condous, G., Epstein, E., Leone, F., Testa, A., Valentin, L., Van Huffel, S., Bourne, T., Timmerman, D. (2011). The effect of gel instillation sonography on Doppler ultrasound findings in endometrial polyps. Ultrasound in Obstetrics & Gynecology, 38 (3), art.nr. 10.1002/uog.9043, 355-359.
Werbrouck, E., Veldman, J., Luts, J., Van Huffel, S., Van Schoubroeck, D., Timmerman, D., Van den Bosch, T. (2011). Detection of endometrial pathology using saline infusion sonography versus gel instillation sonography: a prospective cohort study. Fertility and sterility, 95 (1), 285-288.
Postma, G., Luts, J., Idema, A., Julia-Sape, M., Moreno-Torres, A., Gajewicz, W., Suykens, J., Heerschap, A., Van Huffel, S., Buydens, L. (2011). On the relevance of automatically selected single voxel MRS and multimodal MRI and MRSI features for brain tumour differentation. Computers in Biology and Medicine, 41 (2), 87-97.
Luts, J., Roldan Nofuentes, J., Luna del Castillo, J., Van Huffel, S. (2011). Asymptotic hypothesis test to compare likelihood ratios of multiple diagnostic tests in unpaired designs. Journal of Statistical Planning and Inference, 141 (11), 3578-3594.
De la Marche, W., Noens, I., Luts, J., Scholte, E., Van Huffel, S., Steyaert, J. (2011). Quantitative autism traits in first degree relatives: Evidence for the broader autism phenotype in fathers, but not in mothers and siblings. Autism, 1-14.
Saez, C., Garcia-Gomez, J., Vicente, J., Tortajada, S., Luts, J., Dupplaw, D., Van Huffel, S., Robles, M. (2011). A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. The Knowledge Engineering Review, 26 (3), 283-301.
Luts, J., Ojeda, F., Van de Plas, R., De Moor, B., Van Huffel, S., Suykens, J. (2010). A tutorial on support vector machine-based methods for classification problems in chemometrics. Analytica Chimica Acta, 665 (2), 129-145.
Podo, F., Buydens, L., Degani, H., Hilhorst, R., Klipp, E., Gribbestad, I., Van Huffel, S., van Laarhoven, H., Luts, J., Monleon, D., Postma, G., Schneiderrham-Marra, N., Santoro, F., Wouters, H., Russness, H., Sorlie, T., Tagliabue, E., Borresen-Dale, A. (2010). Triple-negative breast cancer : present challenges and new perspectivevs. Molecular Oncology, 4, 209-229.
Luts, J., Laudadio, T., Idema, A., Simonetti, A., Heerschap, A., Vandermeulen, D., Suykens, J., Van Huffel, S. (2009). Nosologic imaging of the brain : segmentation and classification using MRI and MRSI. NMR in Biomedicine, 22 (4), 374-390.
Garcia-Gomez, J., Tortajada, S., Vidal, C., Julia-Sape, M., Luts, J., Van Huffel, S., Arus, C., Robles, M. (2008). The effect of combining two echo times in automatic brain tumour classification by Magnetic Resonance Spectroscopy. NMR in Biomedicine, 21 (10), 1112-1125.
Luts, J., Poullet, J., Garcia-Gomez, J., Heerschap, A., Robles, M., Suykens, J., Van Huffel, S. (2008). The effect of feature extraction for brain tumour classification based on short echo time 1H MR spectra. Magnetic Resonance in Medicine, 60 (2), 288-298.
Luts, J., Heerschap, A., Suykens, J., Van Huffel, S. (2007). A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. Artificial Intelligence in Medicine, 40 (2), 87-102.
De Neuter, B., Luts, J., Vanhamme, L., Lemmerling, P., Van Huffel, S. (2007). Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. Computer Methods and Programs in Biomedicine, 85 (2), 129-137.
Luts, J., Laudadio, T., Idema, A., Simonetti, A., Heerschap, A., Vandermeulen, D., Suykens, J., Van Huffel, S. (2011). Nosologic imaging of brain tumors using MRI and MRSI. In: Hayat M. (Eds.), Tumors of the central nervous system, Chapt. 16 (pp. 155-168) Springer.
Lluch-Ariet, M., Estanyol, F., Mier, M., Delgado, C., Gonzalez-Velez, H., Dalmas, T., Robles, M., Saez, C., Vicente, J., Van Huffel, S., Luts, J., Arus, C., Candiota Silveira, A., Julia-Sape, M., Peet, A., Gibb, A., Sun, Y., Celda, B., Martinez-Bisbal, M., Valsecchi, G., Dupplaw, D., Hu, B., Lewis, P. (2007). On the implementation of HealthAgents : Agent-based brain tumour diagnosis. In: Annicchiarico R., Cortes U., Urdiales C. (Eds.), Agent-Technology and e-Health (pp. 5-24). Basel, Switzerland: Birkhauser Verlag.
Luts, J., Suykens, J., Van Huffel, S., Laudadio, T., Van Cauter, S., Himmelreich, U., Molla, E., Piquer, J., Martinez-Bisbal, M., Celda, B. (2009). Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. Computer-Based Medical Systems, 2009. CBMS 2009. IEEE International Symposium on Computer-Based Medical Systems. Albuquerque, NM, USA, 2-5 August 2009 (pp. 1-8).
Laudadio, T., Luts, J., Martinez-Bisbal, M., Celda, B., Van Huffel, S. (2008). Differentiation between brain metastasis and glioblastoma using MRI and two-dimensional Turbo Spectroscopic Imaging data. Proc. of the 4th European Medical and Biomedical Engineering congress (eMBEC). 4th European Medical and Biomedical Engineering congress (eMBEC). Antwerp, Belgium, Nov. 2008 (pp. 1513-1516).
Garcia-Gomez, J., Tortajada, S., Vicente, J., Saez, C., Castells, X., Luts, J., Julia-Sape, M., Juan-Ciscar, A., Van Huffel, S., Arus, C., Robles, M. (2007). Genomics and metabolomics research of Brain Tumours based on Machine Learning. Proc. of the 9th International Work-Conference on Artificial Neural Networks (IWANN'07). 9th International Work-Conference on Artificial Neural Networks (IWANN'07). San Sebastian, Spain, Jun. 2007 (pp. 1012-1019).
Van Calster, B., Luts, J., Suykens, J., Condous, G., Bourne, T., Timmerman, D., Van Huffel, S. (2007). Comparing methods for multi-class probabilities in medical decision making using LS-SVMs and kernel logistic regression. In Marques de Sa, J. (Ed.), Alexandre, L. (Ed.), Duch, W. (Ed.), Mandic, D. (Ed.), Artificial Neural Networks (ICANN 2007), vol. 4667 Lecture Notes in Computer Science: Vol. 4669. 17th International Conference on Artificial Neural Networks. Porto, Portugal, 2007 (pp. 139-148) Springer Verlag.
De la Marche, W., Noens, I., Luts, J., Scholte, E., Van Huffel, S., Steyaert, J. (2011). Quantitative autism traits in first degree relatives of children with ASD. International Meeting for Autism Research. San Diego, 12-14 May 2011.
Van Cauter, S., Sima, D., ter Beek, L., Luts, J., Li, Y., Osorio Garcia, M., Sunaert, S., Van Huffel, S., Himmelreich, U. (2011). Reproducibility and variance of serial short echo time 1H magnetic resonance spectroscopic imaging of the human brain at 3T with automated planning software. Proc. Intl. Soc. Mag. Reson. Med.: vol. 19. Annual Meeting of the International Society of Magnetic Resonance in Medicine. Montreal, 7-13 May 2011, 1420.
Luts, J., Laudadio, T., Martinez-Bisbal, M., Van Cauter, S., Molla, E., Piquer, J., Suykens, J., Himmelreich, U., Celda, B., Van Huffel, S. (2010). Non-negative matrix factorization for differentiation of brain metastasis and glioblastoma multiforme, and visualization of tumor infiltration. Proc. Intl. Soc. Mag. Reson. Med.: vol. 18. Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine.. Stockholm, 1-7 May 2010, 4284-4284.
Werbrouck, E., Veldman, J., Luts, J., Van Huffel, S., Van Schoubroeck, D., Timmerman, D., Van den Bosch, T. (2010). Detection of endometrial pathology using saline infusion sonography versus gel instillation sonography: a prospective cohort study. Facts, Views & Vision in ObGyn. EBCOG 2010, 85-85, Abstract No. 130.
De la Marche, W., Noens, I., Boets, B., Luts, J., Van Huffel, S., Scholte, E., Peeters, H., Devriendt, K., Steyaert, J. (2011, 2011). An autism spectrum disorder family study: Specific phenotypes in relatives and familial transmission of quantitative autism traits. M.M. Delacroix Workshop on Autism Research. Leuven, 8-10 November 2011.
Luts, J., Laudadio, T., Idema, A., Van Cauter, S., Himmelreich, U., Vandermeulen, D., Heerschap, A., Suykens, J., Van Huffel, S. (2010). Statistical machine learning approach to multimodal magnetic resonance data processing for clinical decision support in brain tumor diagnostics. Annual Leuven statistical day - LSD 2010. Heverlee, Belgium, 28 May 2010.
Luts, J., Van Huffel, S. (sup.), Suykens, J. (sup.) (2010). Classification of Brain Tumors Based on Magnetic Resonance Spectroscopy (Classificatie van hersentumoren op basis van magnetische resonantie spectroscopie), 256 pp.
Garcia-Gomez, J., Luts, J., Julia-Sape, M., Krooshof, P., Tortajada, S., Vicente, J., Melssen, W., Fuster-Garcia, E., Olier, I., Postma, G., Monleon, D., Moreno-Torres, A., Pujol, J., Candiota, A., Martinez-Bisbal, M., Suykens, J., Buydens, L., Celda, B., Van Huffel, S., Arus, C., Robles, M. (2009). Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. Magnetic Resonance Materials in Biology, Physics and Medicine, 22, 5-18.
Two OPTEC professors have been awarded three "Gouden Krijtjes", the yearly teaching awards given by the organization of engineering students (vtk). Prof. Lombaert was awarded the prize for the best course in civil engineering, and Prof. Diehl the prizes for the best professor and the best course in mathematical engineering (where he teaches numerical optimization). They received these awards at the yearly "proffentap" where experienced students taught them how to draft beer professionally.
