Einträge von Lang, Elmar W. auf dem Publikationsserver

Raab, Florian, Malloni, Wilhelm, Wein, Simon, Greenlee, Mark W. und Lang, Elmar W. (2023) Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection. Scientific Reports 13.

Sawant, Shrutika S., Wiedmann, Marco, Göb, Stephan, Holzer, Nina, Lang, Elmar W. und Götz, Theresa (2022) Compression of Deep Convolutional Neural Network Using Additional Importance-Weight-Based Filter Pruning Approach. Applied Sciences 12 (21), S. 11184. Volltext nicht vorhanden.

Ott, Christian, Rosengarth, Katharina, Doenitz, Christian, Hoehne, Julius, Wendl, Christina, Dodoo-Schittko, Frank, Lang, Elmar W., Schmidt, Nils Ole und Goldhacker, Markus (2021) Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging. Journal of Personalized Medicine 11 (12), S. 1342.

Wein, Simon , Deco, Gustavo, Tomé, Ana Maria, Goldhacker, Markus , Malloni, Wilhelm M., Greenlee, Mark W. und Lang, Elmar W. (2021) Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Computational Intelligence and Neuroscience 2021, S. 1-31.

Wankerl, Heribert , Stern, Maike L. , Mahdavi, Ali, Eichler, Christoph und Lang, Elmar W. (2021) Parameterized reinforcement learning for optical system optimization. Journal of Physics D: Applied Physics 54 (30), S. 305104.

Götz, Theresa I., Lang, Elmar W., Schmidkonz, Christian, Kuwert, Torsten und Ludwig, Bernd (2021) Dose voxel kernel prediction with neural networks for radiation dose estimation. Zeitschrift für Medizinische Physik 31 (1), S. 23-36. Volltext nicht vorhanden.

Xarez, M., Weiderer, P., Tomé, A.M. und Lang, Elmar W. (2021) Extracting control variables of casting processes with NMF and rule extraction. Expert Systems with Applications 180, S. 115118. Volltext nicht vorhanden.

Stetter, Martin, Lang, Elmar W. und Liu, Jianli (2021) Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps. Computational Intelligence and Neuroscience 2021, S. 1-15. Volltext nicht vorhanden.

Wein, Simon, Tomé, Ana M., Goldhacker, Markus , Greenlee, Mark W. und Lang, Elmar W. (2020) A Constrained ICA-EMD Model for Group Level fMRI Analysis. Frontiers in Neuroscience 14 (221), S. 1-10.

Weiderer, Peter, Tomé, Ana Maria und Lang, Elmar W. (2020) A NMF-based extraction of physically meaningful components from sensory data of metal casting processes. Journal of Manufacturing Systems 54, S. 62-73. Volltext nicht vorhanden.

Götz, Theresia I., Lang, Elmar W., Schmidkonz, Christian, Maier, Andreas, Kuwert, Torsten und Ritt, Philipp (2020) Particle filter de-noising of voxel-specific time-activity-curves in personalized 177Lu therapy. Zeitschrift für Medizinische Physik 30 (2), S. 116-134. Volltext nicht vorhanden.

Al-Baddai, Saad, Al-Subari, Karema, Lang, Elmar W. , Ströhl, Barbara und Ludwig, Bernd (2019) Empirical Heatmap Decomposition—A Fresh Look on Gaze Behavior. In: ACHI 2019 : the Twelfth International Conference on Advances in Computer-Human Interactions, February 24-28, 2019, Athens, Greece. Volltext nicht vorhanden.

Wein, S., Tomé, A. M., Goldhacker, Markus , Greenlee, Mark W. und Lang, Elmar W. (2019) Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. In: Barbieri, R., (ed.) Biomedical engineering ranging from wellness to intensive care : 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : 41st EMB Conference : July 23-27, Berlin. IEEE, Piscataway, NJ. Volltext nicht vorhanden.

Goldhacker, Markus, Tomé, Ana M. , Greenlee, Mark W. und Lang, Elmar W. (2018) Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States. Frontiers in Human Neuroscience 12 (253), S. 1-16.

Goetz, Theresa, Tome, A. M., Hensel, B., Bert, Ch. und Lang, Elmar W. (2018) Electromagnetic Tracking in High Dose Rate Brachytherapy - A Composite Analysis Model. Advances in Applied Science Research 9 (1), S. 1-21.

Goetz, Th. I., Herzberger, F., Tome, A. M., Hensel, B. und Lang, Elmar W. (2017) EMTLAB: A Toolbox for the Analysis of Electromagnetic Tracking Data in Brachytherapy. Advances in Applied Science Research 8 (4), S. 40-61.

Al-Baddai, Saad, Ströhl, Barbara, Lang, Elmar W. und Ludwig, Bernd (2017) Do Museum Visitors See What Educators Want Them to See? In: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, July 09 - 12, 2017, Bratislava, Slovakia. Volltext nicht vorhanden.

Al-Subari, Karema, Al-Baddai, Saad, Tomé, A. M. , Volberg, Gregor , Ludwig, Bernd und Lang, Elmar W. (2016) Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE 11 (12), S. 1-20.

Al-Baddai, Saad, Al-Subari, Karema, Tome, A. M., Volberg, Gregor und Lang, Elmar W. (2014) Combining EMD with ICA to analyze combined EEG-fMRI data. In: Medical Image Understanding and Analysis 2014. Proc. 18th conf. on Medical Image Understanding and Analysis, 9-11 July 2014, London. City University London, London, UK, S. 223-228. ISBN 9781901725513. Volltext nicht vorhanden.

Lang, Elmar W., Tomé, A. M., Keck, Ingo R., Górriz-Sáez, J. M. und Puntonet, C. G. (2012) Brain Connectivity Analysis - A short survey. Computational Intelligence and Neuroscience (CIN).

Lang, Elmar, Schachtner, R., Lutter, D., Herold, Daniela, Kodewitz, A., Blöchl, F..J., Theis, Fabian J., Keck, Ingo R., Gorriz, J. M., Gomez-Vilda, P. und Tome, A. M. (2011) I, 2. Exploratory Matrix Factorization Techniques for Large Scale Biomedical Data Sets. In: Gorriz, Juan Manuel und Lang, Elmar W. und Ramírez, Javier, (eds.) Recent advances in biomedical signal processing. Bentham Science Publishers, Hilversum, S. 26-47. ISBN 978-1-60805-218-9. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Gruber, Peter, Theis, Fabian, Lang, Elmar W., Tomé, A., Teixeira, A., Gronwald, Wolfram und Kalbitzer, Hans-Robert (2006) On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE Transactions on Biomedical Engineering 53 (5), S. 810-820. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Lang, Elmar W., Tomé, A. M., Gruber, Peter, Teixeira, A. R., Theis, Fabian J. und Puntonet, C. G. (2005) A hybridization of simulated annealing and local PCA for automatic component assignment within ICA. In: Cabestany, Joan, (ed.) Computational intelligence and bioinspired systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8 - 10, 2005; proceedings. Lecture notes in computer science, 3512. Springer, Berlin, S. 1075-1082. ISBN 3-540-26208-3. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Lang, Elmar W., Theis, Fabian J., Gruber, Peter, Tomé, A. M., Teixeira, A. R. und Puntonet, C. G. (2005) An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005: July 31 - August 4, 2005, Montréal, Québec, Canada. IEEE Operations Center, Piscataway, NJ, S. 2463-2468. ISBN 0-7803-9048-2, 0-7803-9049-0. Volltext nicht vorhanden.

Alvarez, M., Rojas, F., Lang, Elmar W., Rojas, I., Puntonet, C. und Salmeron, M. (2004) Lattice ICA for the separation of speech signals. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, S. 337-342. Volltext nicht vorhanden.

Theis, Fabian J., Jung, Andreas, Puntonet, Carlos G. und Lang, Elmar W. (2003) Linear Geometric ICA: Fundamentals and Algorithms. Neural Computation 15, S. 419-439. Zugang zum Volltext eingeschränkt.

Bauer, Christoph, Theis, F., Baeumler, W. und Lang, Elmar W. (2003) Local Features in Biomedical Image Clusters extracted with Independent Component Analysis. In: Proceedings of the International Joint Conference on Neural Networks 2003, IJCNN 2003, Portland, Oregon, July 20 - 24, 2003. IEEE Service Center, Piscataway, NJ, S. 81-84. ISBN 0-7803-7898-9, 0-7803-7899-7. Volltext nicht vorhanden.

Theis, Fabian J., Jung, Andreas, Lang, Elmar W. und Puntonet, Carlos G. (2001) A Theoretic Model for Linear Geometric ICA. ICA 2001 Proceedings. Volltext nicht vorhanden.

Habl, M., Bauer, Ch. und Lang, Elmar W. (2001) Analyzing biomedical signals with probabilistic ICA and kernel-based source density estimation. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, S. 219-255. ISBN 3-906454-25-8. Volltext nicht vorhanden.

Bauer, Ch., Puntonet, C. G., Alvarez, M. R. und Lang, Elmar W. (2001) Analyzing brain tumor related EEG signals using adaptive geometric ICA algorithms. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, S. 181-185. ISBN 3-906454-25-8. Volltext nicht vorhanden.

Jung, Andreas, Theis, Fabian J., Puntonet, Carlos G. und Lang, Elmar W. (2001) FastGeo - A Histogram Based Approach to Linear Geometric ICA. In: Lee, Te-Won, (ed.) 3rd International Conference on Independent Component Analysis and Signal Separation (ICA 2001) : San Diego, California, December 9 - 13, 2001. Proceedings. , S. 349-354. Volltext nicht vorhanden.

Ziegaus, Ch. und Lang, Elmar W. (2001) Neural-JADE applied to natural and urban images. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, S. 226-233. ISBN 3-906454-25-8. Volltext nicht vorhanden.

Mies, Ch., Bauer, Ch., Lang, Elmar W., Ackermann, G. und Bäumler, W. (2001) Skin tumor classification using independent component analysis. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, S. 186-192. ISBN 3-906454-25-8. Volltext nicht vorhanden.

Bauer, Ch., Alvarez, M. R., Lang, Elmar W. und Puntonet, C. G. (2000) Analysis of EEG data using a geometric-based ICA algorithm. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35, S. 485. Volltext nicht vorhanden.

Ganslmeier, B., Schels, A. und Lang, Elmar W. (2000) PCA and ICA analysis of process control data obtained during si-wafer manufacturing. In: Hamza, M. H., (ed.) Signal processing and communications: proceedings of the IASTED international conference (SPC), September 19 - 22, 2000, Marbella, Spain. IASTED/Acta Press, Anaheim, S. 72-77. ISBN 0-88986-302-4. Volltext nicht vorhanden.

Bauer, Ch., Puntonet, C. G., Alvarez, M. R. und Lang, Elmar W. (2000) Separation of brain tumor related EEG signals with geometric procedures. In: Fyfe, Colin, (ed.) Proceedings of the Second ICSC Symposium on Engineering of Intelligent Systems, EIS 2000: June 27 - 30, 2000, University of Paisley, Scotland, U.K. ICSC (International Computer Science Conventions) Canada, Wetaskiwin AB, Canada, S. 104-108. ISBN 3-906454-23-1. Volltext nicht vorhanden.

Ackermann, G., Abels, C., Bäumler, W., Langer, S., Landthaler, M., Lang, Elmar W. und Szeimies, R. M. (1998) Simulations on the selectivity of 5-aminolaevulinic acid-induced fluorescence in vivo. Journal of photochemistry and photobiology. B, Biology 47 (2-3), S. 121-128. Volltext nicht vorhanden.

Bradl, S., Lang, Elmar W., Turner, J. Z. und Soper, A. K. (1994) NMR and neutron scattering investigation of undercooled aqueous solutions of apolar solutes. The Journal of Physical Chemistry: J. Phys. Chem. 98 (33), S. 8161-8168.

Bradl, S. und Lang, Elmar W. (1993) Hydration water dynamics in undercooled aqueous solutions of hydrophobic ions. The Journal of Physical Chemistry: J. Phys. Chem. 97 (40), S. 10463-10471.

Lang, Elmar W. und Lüdemann, Hans-Dietrich (1990) High pressure NMR studies on water and aqueous solutions. In: Jonas, J., (ed.) High pressure NMR. NMR: basic principles and progress, 24. Springer, S. 129-188. ISBN 3-540-52938-1, 0-387-52938-1. Volltext nicht vorhanden.