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Vlad Popovici

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My research is focussed on statistical methods for pattern recognition with a special emphasize on their application to life sciences, mainly in bioinformatics and computer aided diagnosis. Current research topics include the design and analysis of sparse classifiers and clustering techniques in high dimensional feature space.

Swiss Institute of Bioinformatics, Lausanne, .

E-mail: trimite un mesaj.

Pagina web a instituţiei: http://www.isb-sib.ch
Pagina web personala: http://lausanne.isb-sib.ch/~vpopovic/

Nascut(a) in: 1975

Interese: recunoasterea formelor, clasificatori, invatare automata, sisteme de decizie in diagnostic, bioinformatica, viziune artificiala

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My research is focussed on statistical methods for pattern recognition with a special emphasize on their application to life sciences, mainly in bioinformatics and computer aided diagnosis. Current research topics include the design and analysis of sparse classifiers and clustering techniques in high dimensional feature space.

Publicații selectate:

* V. Popovici, E. Budinska, S. Tejpar, S. Weinrich, H. Estrella, G. Hodgson, E. Van Cutsem, T. Xie, F.T. Bosman, A.D. Roth, M. Delorenzi, Identification of a Poor-Prognosis BRAF-Mutant–Like Population of Patients With Colon Cancer, Journal of Clinical Oncology, 30(12), 2012.

* V. Popovici, E. Budinska, M. Delorenzi, Rgtsp: a generalized top scoring pairs package for class prediction, Bioinformatics, 27 (12), 2011.

* MAQC Consortium, The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models, Nature Biotechnology, 28 (8), 2010.

* J. Antonov, V. Popovici, M. Delorenzi, P. Wirapati, A. Baltzer, A. Oberli, B. Thurlimann, A. Giobbie-Hurder, G. Viale, H.-J. Altermatt, S. Aebi, R. Jaggi, Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue, BMC Cancer, 10:37, 2010.

* V. Popovici, W. Chen, B.G. Gallas, C. Hatzis, W. Shi, F.W. Samuelson, Y. Nikolsky, M. Tsyganova, A. Ishkin, T. Nikolskaya, K.R. Hess, V. Valero, D. Booser, M. Delorenzi, G.N. Hortobagyi, L. Shi, W.F. Symmans, L. Pusztai , Effect of training sample size and classification difficulty on the accuracy of genomic predictors, Breast Cancer Research, 12, 2010.

* S. Aebi, J. Antonov, V. Popovici, M. Delorenzi, A. Giobbie-Hurder, G. Viale, B. Thuerlimann, H-J. Altermatt, and R. Jaggi, Risk assessment of relapse in Swiss participants of BIG 1-98 with grade 2 early breast cancer by gene expression profiling using RNA from formalin-fixed, paraffin embedded (FFPE) tissue, Cancer Research, 69 (2, Suppl.S), 2009.

* Popovici V, Goldstein DR, Antonov J, Jaggi R, Delorenzi M, Wirapati P., Selecting control genes for RT-QPCR using public microarray data, BMC Bioinformatics, 10(1), 2009.

* A. Oberli, V. Popovici, M. Delorenzi, A. Baltzer, J. Antonov, S. Matthey, S. Aebi, H.J. Altermatt, R. Jaggi, Expression Profiling with RNA from Formalin-Fixed, Paraffin-Embedded Material, BMC Medical Genomics, 2008.

* P. Besson, V. Popovici, J.-M. Vesin, J.-Ph. Thiran and M. Kunt, Extraction of audio features specific to speech in multimodal speaker detection, IEEE Transactions on Multimedia, 10(1), 2008.

* J. Meynet, V. Popovici and J. Thiran, Face Detection with Boosted Gaussian Features, Pattern Recognition, 40 (8), 2007.

* J. Meynet, V. Popovici and J. Thiran, Mixtures of Boosted Classifiers for Frontal Face Detection, Signal, Image and Video Processing, 1, 2007.

* J. Meynet, V. Popovici, M.Sorci and J.-Ph. Thiran, Combining SVMs for Face Class Modeling , Proc. of the 13th European Signal Processing Conference (EUSIPCO), 2005.

* V. Popovici, J.-Ph. Thiran, Face Detection using SVM Trained in Eigenfaces Space, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, 2003.

* G. Antonini, V. Popovici, J.-Ph. Thiran, Independent Component Analysis and SVM for Face Feature Extraction, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, 2003.

* V. Popovici, J.-Ph. Thiran, PCA in Autocorrelation Space, International Conference on Pattern Recognition (ICPR), 2002.

* V. Popovici, J.-Ph. Thiran, Pattern Recognition using Higer-Order Local Autocorrelation Coefficients, Neural Networks for Signal Processing XII (NNSP), 2002.

* V. Popovici, J.-Ph. Thiran, Higher Order Autocorrelations for Pattern Classification, International Conference on Image Processing (ICIP), 2001.

* V. Popovici, S. Bengio and J. Thiran, Kernel Matching Pursuit for Large Datasets, Pattern Recognition, 38 (12), 2005.

* V. Popovici, Kernel--based Classifiers with Applications to Face Dectection, Swiss Federal Institute of Technology, 2004.

* V. Popovici, J.-Ph. Thiran, Pattern Recognition using Higher-Order Local Autocorrelation Coefficients, Pattern Recognition Letters, 25 (10), 2004.

* C. Archambeau, T. Butz, V. Popovici, M. Verleysen, and J.-Ph. Thiran, Supervised Nonparametric Information Theoretic Classification, Proc. of 17th Intl. Conf. on Pattern Recognition, 2004.

* J. Meynet, V. Popovici, and J.-Ph. Thiran, Face class modeling using a mixture of SVMs, Proc. of Intl. Conference on Image Analysis and Recognition, 2004.

* V. Popovici, Y. Rodriguez, S. Marcel, and J.-Ph. Thiran, On Performance Evaluation of Face Detection and Localization Algorithms, Proc. of 17th Intl. Conf. on Pattern Recognition, 2004.