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• Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar W. Lang. A Constrained ICA-EMD Model for Group Level fMRI Analysis. Frontiers in Neuroscience, vol. 14, p. 221, April 2020 [IF 2018: 3.648 (Q2, 92/267)]
• C. Gouveia, Ana Maria Tomé, F. Barros, S. C. Soares, José M. N. Vieira, P. Pinho. Study on the usage feasibility of continuous-wave radar for emotion recognition. Biomedical Signal Processing and Control, vol. 58, April 2020 [IF 2018: 2.943 (Q2, 27/80)]
• S. Al-Baddai, P. Marti-Puig, E. Gallego-Jutglà, K. Al-Subari, Ana Maria Tomé, B. Ludwig, Elmar W. Lang, J. Solé-Casals. A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions. Soft Computing, vol. 24, no. 5, p. 3809-3827, March 2020 [IF 2018: 2.784 (Q2, 53/134)]
• Peter Weiderer, Ana Maria Tomé, Elmar W. Lang. A NMF-based extraction of physically meaningful components from sensory data of metal casting processes. Journal of Manufacturing Systems, vol. 54, p. 62-73, January 2020 [IF 2018: 3.642 (Q1, 9/46)]
• Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2019 [IF 2018: 17.730 (Q1, 1/266)]
• Ana Rita Teixeira, Isabel Santos, Ana Maria Tomé. Identifying evoked potential response patterns using independent component analysis and unsupervised learning. Biomedical Physics & Engineering Express, vol. 5, no. 1, p. 015019, November 2018
• T. Götz, Ana Maria Tomé, B. Hensel, Elmar W. Lang. MDSLAB: A toolbox for the analysis of point sets using multi-dimensional scaling, hartigan dip test and α-stable distributions. Biomedical Physics & Engineering Express, vol. 4, no. 6, October 2018
• M. Goldhacker, Ana Maria Tomé, M. Greenle, Elmar W. Lang. Frequency-resolved dynamic functional connectivity reveals scale-stable features of connectivity-states. Frontiers in Human Neuroscience, vol. 12, June 2018 [IF 2018: 2.870 (Q2, 21/77)]
• Hamidreza Kasaei, Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Ana Maria Tomé. Towards Lifelong Assistive Robotics: A Tight Coupling Between Object Perception and Manipulation. Neurocomputing, vol. 291, p. 151-166, May 2018 [IF 2018: 4.072 (Q1, 28/134)]
• V. Vigneron, A. Kodewitz, M.N. da Costa, Ana Maria Tomé, Elmar W. Lang. Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Processing, vol. 144, p. 77-86, March 2018 [IF 2018: 4.086 (Q1, 53/266)]
• M. Goldhacker, P. Keck, A. Igel, Elmar W. Lang, Ana Maria Tomé. A multi-variate blind source separation algorithm. Computer Methods and Programs in Biomedicine, vol. 151, p. 91-99, November 2017 [IF 2017: 2.674 (Q1, 19/103)] [IF 2018: 3.424 (Q1, 15/105)]
• Götz, Th.I., Ermer, M., Salas-González, D., Kellermeier, Strna, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 20, p. 7959-7980, October 2017 [IF 2018: 3.030 (Q2, 26/80)]
• Götz, Th.I., Lahmer, G., Strnad, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients. PLoS ONE, vol. 12, no. 9, September 2017 [IF 2017: 2.766 (Q1, 15/64)] [IF 2018: 2.776 (Q2, 24/69)]
• Götz, Th.I., Lahmer, G., Brandt, T., Kallis, K., Strnad, V., Bert, C., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 19, p. 7617-7640, September 2017 [IF 2018: 3.030 (Q2, 26/80)]
• T. Gotz, L. Stadler, G. Fraunhofer, Ana Maria Tomé, H. Hausner, Elmar W. Lang. A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation. Journal of Neural Engineering, vol. 14, no. 1, February 2017 [IF 2018: 4.551 (Q1, 10/80)]
• Daniel Malafaia, José M. N. Vieira, Ana Maria Tomé. Adaptive threshold spectrum sensing based on expectation maximization algorithm. Physical Communication, vol. 21, p. 60-69, December 2016 [IF 2016: 1.583 (Q3, 137/262)]
• Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Ludwig B, Elmar W. Lang. Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 11, no. 12, p. 1-20, December 2016 [IF 2016: 2.806 (Q1, 15/64)] [IF 2018: 2.776 (Q2, 24/69)]
• Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes, Miguel Riem Oliveira. GOOD: A Global Orthographic Object Descriptor for 3D Object Recognition and Manipulation. Pattern Recognition Letters, vol. 83, Part 3, p. 312–320, November 2016 [IF 2016: 1.995 (Q2, 58/133)] [IF 2018: 2.810 (Q2, 50/134)]
• Al-Baddai, S., Al-Subari, K., Ana Maria Tomé, Ludwig, B., Salas-Gonzales, D., Elmar W. Lang. Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomedical Signal Processing and Control, vol. 30, p. 53-63, September 2016 [IF 2016: 2.214 (Q2, 33/77)] [IF 2018: 2.943 (Q2, 27/80)]
• Daniel Malafaia, José M. N. Vieira, Tiago Miguel Valente Varum, Ana Maria Tomé. Cognitive bio-radar: The natural evolution of bio-signals measurement. Journal of Medical Systems, vol. 40, no. 10, p. 1-2, August 2016 [IF 2016: 2.456 (Q2, 9/23)] [IF 2018: 2.415 (Q2, 12/26)]
• I.M. Santos, Ana Rita Teixeira, Ana Maria Tomé, A.T. Pereira, P. Rodrigues, P. Vagos, J. Costa, M. Carrito, B. Oliveira, N. DeFilippis, C.F. Silva. ERP Correlates of Error Processing During Performance on the Halstead Category Test. International Journal of Psychophysiology, vol. 106, p. 97-105, August 2016 [IF 2016: 2.582 (Q2, 25/77)]
• Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Jordi Solé-Casals, Elmar W. Lang. A green's function-based Bi-dimensional empirical mode decomposition. Information Sciences, vol. 348, p. 305 - 321, June 2016 [IF 2016: 4.832 (Q1, 7/146)]
• Miguel Riem Oliveira, Luís Seabra Lopes, Gi Hyun Lim, Hamidreza Kasaei, Ana Maria Tomé, Aneesh Chauhan. 3D object perception and perceptual learning in the RACE project. Robotics and Autonomous Systems, vol. 75, p. 614–626, January 2016 [IF 2016: 1.950 (Q2, 60/133)] [IF 2018: 2.928 (Q2, 45/134)]
• Hamidreza Kasaei, Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Ana Maria Tomé. Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments. Journal of Intelligent & Robotic Systems, vol. 80, no. 3, p. 537-553, December 2015 [IF 2015: 0.932 (Q3, 16/25)] [IF 2018: 2.020 (Q3, 17/26)]
• K. Al-Subari, S. Al-Baddai, Ana Maria Tomé, M. Goldhacker, R. Faltermeier, Elmar W. Lang. EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition. Journal of Neuroscience Methods, vol. 253, p. 193-205, September 2015 [IF 2015: 2.053 (Q3, 47/77)]
• Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Hammwöhner R, Elmar W. Lang. Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 10, no. 4, p. e0119489, April 2015 [IF 2015: 3.057 (Q1, 11/63)] [IF 2018: 2.776 (Q2, 24/69)]
• Ana Maria Tomé, R. Schachtner, V. Vigneron, C. G. Puntonet, Elmar W. Lang. A logistic non-negative matrix factorization approach to binary data sets. Multidimensional Systems and Signal Processing, vol. 26, no. 1, p. 125-143, January 2015 [IF 2015: 1.436 (Q2, 30/105)]
• S. Al-Baddai, K. Al-Subari, Ana Maria Tomé, G. Volberg, S. Hanslmayr, R. Hammwöhner, Elmar W. Lang. Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. Biomedical Signal Processing and Control, vol. 13, p. 218-236, September 2014 [IF 2014: 1.419 (Q2, 15/30)] [IF 2018: 2.943 (Q2, 27/80)]
• T. Schon, M. Stetter, Ana Maria Tomé, C.G. Puntonet, Elmar W. Lang. Physarum Learner: A bio-inspired way of learning structure from data. Expert Systems with Applications, vol. 41, no. 11, p. 5353-5370, September 2014 [IF 2014: 2.240 (Q1, 12/81)]
• R. Schachtner, G. Poeppel, Ana Maria Tomé, Elmar W. Lang. A Bayesian approach to the Lee–Seung update rules for NMF. Pattern Recognition Letters, vol. 45, p. 251-256, August 2014 [IF 2014: 1.551 (Q2, 55/123)] [IF 2018: 2.810 (Q2, 50/134)]
• R. Schachtner, G. Pöppel, Ana Maria Tomé, C.G. Puntonet, Elmar W. Lang. A new Bayesian approach to nonnegative matrix factorization: uniqueness and model order selection. Neurocomputing, vol. 138, p. 142-156, August 2014 [IF 2014: 2.083 (Q2, 36/123)] [IF 2018: 4.072 (Q1, 28/134)]
• A. R. Hidalgo-Muñoz, Miriam López Pérez, A. Galvao-Carmona, A. T. Pereira, I. M. Santos, M. Vázquez-Marrufo, Ana Maria Tomé. EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE. Medical & Biological Engineering & Computing, vol. 52, no. 2, p. 149-158, February 2014 [IF 2014: 1.726 (Q2, 35/102)]
• A.R. Hidalgo-Muñoz, Miriam López Pérez, A.T. Pereira, I.M. Santos, Ana Maria Tomé. Spectral turbulence measuring as feature extraction method from EEG on affective computing. Biomedical Signal Processing and Control, vol. 8, no. 6, p. 945-950, November 2013 [IF 2013: 1.532 (Q3, 16/31)] [IF 2018: 2.943 (Q2, 27/80)]
• A.R. Hidalgo-Muñoz, A.T. Pereira, Miriam López Pérez, A. Galvao-Carmona, Ana Maria Tomé, M. Vázquez-Marrufo, I.M. Santos. Individual EEG differences in affective valence processing in women with low and high neuroticism. Clinical Neurophysiology, vol. 124, no. 9, p. 1798-1806, September 2013 [IF 2013: 2.979 (Q2, 60/194)]
• A.R. Hidalgo-Muñoz, Miriam López Pérez, I.M. Santos, A.T. Pereira, M. Vázquez-Marrufo, A. Galvao-Carmona, Ana Maria Tomé. Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing. Expert Systems with Applications, vol. 40, no. 6, p. 2102-2108, May 2013 [IF 2013: 1.965 (Q1, 11/79)]
• A. Zeiler, R. Faltermeier, Ana Maria Tomé, C. Puntonet, A. Brawanski, Elmar W. Lang. Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. Neural Processing Letters, vol. 37, no. 1, p. 21-32, February 2013 [IF 2013: 1.237 (Q2, 60/121)]
• Silvia De Sanctis, Wilhelm M. Malloni, Werner Kremer, Ana Maria Tomé, Elmar W. Lang, Klaus-Peter Neidig, Hans Robert Kalbitzer. Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra. Journal of Magnetic Resonance, vol. 210, no. 2, p. 177-183, June 2011 [IF 2011: 2.138, 2.138]
• Ana Rita Teixeira, Ana Maria Tomé, Elmar W. Lang. Unsupervised feature extraction via kernel subspace techniques. Neurocomputing, vol. 74, no. 5, p. 820-830, February 2011 [IF 2011: 1.580 (Q2, 39/111)] [IF 2018: 4.072 (Q1, 28/134)]
• Ana Maria Tomé, Ana Rita Teixeira, Nuno Figueiredo, I. M. Santos, Petia Georgieva, Elmar W. Lang. SSA of biomedical signals: A linear invariant systems approach. Statistics and Its Interface, vol. 3, no. 3, p. 345-355, September 2010 [IF 2010: 0.474]
• W. M. Malloni, S. De Sanctis, Ana Maria Tomé, Elmar W. Lang, C. E. Munte, K. P. Neidig, H. R. Kalbitzer. Automated solvent artifact removal and base plane correction of multidimensional NMR protein spectra by AUREMOL-SSA. Journal of Biomolecular NMR, vol. 47, no. 2, p. 101-110, June 2010 [IF 2010: 3.047, 3.047]
• Ana Rita Teixeira, Ana Maria Tomé, M. Bohm, C. G. Puntonet, Elmar W. Lang. How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series. IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 8, p. 2433-2443, August 2009 [IF 2009: 1.025]
• R. Schachtner, D. Lutter, P. Knollmueller, Ana Maria Tomé, F. J. Theis, G. Schmitz, M. Stetter, P. Gomez Vilda, Elmar W. Lang. Knowledge-based gene expression classification via matrix factorization. Bioinformatics, vol. 24, no. 15, p. 1688–1697, August 2008 [IF 2008: 4.328 (Q1, 2/29)] [IF 2018: 4.531 (Q1, 4/59)]
• Ana Rita Teixeira, Ana Maria Tomé, K. Stadlthanner, Elmar W. Lang. KPCA denoising and the pre-image problem revisited. Digital Signal Processing, vol. 18, no. 4, p. 568–580, July 2008 [IF 2008: 1.486]
• K. Stadlthanner, F. J. Theis, Elmar W. Lang, Ana Maria Tomé, C. G. Puntonet, J. M. Gorriz. Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing, vol. 71, no. 10-12, p. 2356–2376, June 2008 [IF 2008: 1.234 (Q3, 53/94)] [IF 2018: 4.072 (Q1, 28/134)]
• Ana Rita Teixeira, Ana Maria Tomé, Elmar W. Lang, P. Gruber, A. Martins da Silva. Automatic removal of high-amplitude artefacts from single-channel electroencephalograms. Computer Methods and Programs in Biomedicine, vol. 83, no. 2, p. 125-138, August 2006 [IF 2006: 0.624] [IF 2018: 3.424 (Q1, 15/105)]
• P. Gruber, K. Stadthanner, M. Boehm, F. J. Theis, Elmar W. Lang, Ana Maria Tomé, Ana Rita Teixeira, C. G. Puntonet, J. M. Gorriz Saez. Denoising using local projective subspace methods. Neurocomputing, vol. 69, no. 13-15, p. 1485–1501, August 2006 [IF 2006: 0.860] [IF 2018: 4.072 (Q1, 28/134)]
• M. Bohm, K. Stadlthanner, P. Gruber, F. J. Theis, Elmar W. Lang, Ana Maria Tomé, Ana Rita Teixeira, W. Gronwald, H. R. Kalbitzer. On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE Transactions on Biomedical Engineering, vol. 53, no. 5, p. 810–820, May 2006 [IF 2006: 2.302]
• Ana Maria Tomé. The generalized eigendecomposition approach to the blind source separation problem. Digital Signal Processing, vol. 16, no. 3, p. 288–302, May 2006 [IF 2006: 0.889]
• K. Stadlthanner, Ana Maria Tomé, F. J. Theis, Elmar W. Lang, W. Gronwald, H. R. Kalbitzer. Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. Neurocomputing, vol. 69, no. 4-6, p. 497–522, January 2006 [IF 2006: 0.860] [IF 2018: 4.072 (Q1, 28/134)]
• Ana Maria Tomé, Ana Rita Teixeira, Elmar W. Lang, K. Stadlthanner, A. P. Rocha, R. Almeida. dAMUSE - A new tool for denoising and blind source separation. Digital Signal Processing, vol. 15, no. 4, p. 400-421, July 2005 [IF 2005: 0.609]