Publikationen der AG Technomathematik

Zeitschriftenartikel (7)

1. J. Quanico, L. Hauberg-Lotte, S. Devaux, Z. Laouby, C. Mériaux, A. Raffo-Romero, M. Rose, L. . Westerheide, J. Vehmeyer, F. Rodet, P. Maaß, D. Cizkova, N. Zilka, V. Cubinkova, I. Fournier, M. Salzet.
   3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury.
   Scientific Reports, 8(16083), 2018.

   DOI: 10.1038/s41598-018-34518-0

2. P. Fernsel, P. Maaß.
   A Survey on Surrogate Approaches to Non-negative Matrix Factorization.
   Vietnam Journal of Mathematics, 46(4):987-1021, Springer Verlag, 2018.

   DOI: 10.1007/s10013-018-0315-x

3. J. Behrmann, C. Etmann, T. Boskamp, R. Casadonte, J. Kriegsmann, P. Maaß.
   Deep Learning for Tumor Classification in Imaging Mass Spectrometry.
   Bioinformatics, 34(7):1215-1223, Oxford University Press, 2018.

   DOI: 10.1093/bioinformatics/btx724

4. T. Kluth.
   Mathematical models for magnetic particle imaging.
   Inverse Problems, 34(8), 2018.

   DOI: 10.1088/1361-6420/aac535

5. T. Kluth, B. Jin, G. Li.
   On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
   Inverse Problems, 34(9), 2018.

   DOI: 10.1088/1361-6420/aad015

6. J. Leuschner, M. Schmidt, P. Fernsel, D. Lachmund, T. Boskamp, P. Maaß.
   Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
   Bioinformatics, bty909 , 2018.

   DOI: 10.1093/bioinformatics/bty909

7. Y. Cordero Hernandez, T. Boskamp, R. Casadonte, L. Hauberg-Lotte, J. Oetjen, D. Lachmund, A. Peter, D. Trede, K. Kriegsmann, M. Kriegsmann, J. Kriegsmann, P. Maaß.
   Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer.
   Proteomics - Clinical Applications, 1700168 , Wiley, 2018.

   DOI: 10.1002/prca.201700168

Tagungsbeiträge (6)

1. T. Kluth, B. Jin.
   Exploiting Ill-Posedness in Magnetic Particle Imaging - System Matrix Approximation via Randomized SVD.
   International Workshop on Magnetic Particle Imaging 2018.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, S. 127-128, Infinite Science Publishing, 2018.
2. J. Flötotto, T. Kluth, M. Möddel, T. Knopp, P. Maaß.
   Improving Generalization Properties of Measured System Matrices by Using Regularized Total Least Squares Reconstruction in MPI.
   International Workshop on Magnetic Particle Imaging 2018.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, S. 53-54, Infinite Science Publishing, 2018.
3. D. Otero Baguer, P. Maaß.
   Inverse Problems in designing new structural materials.
   7th International Conference on High Performance Scientific Computing, 19.03-23.03.2018, Hanoi, Vietnam.
   

   DOI: 10.1007/978-3-030-55240-4_8

4. P. Gralla, D. . Rippel, M. Lütjen, P. Maaß.
   Inverting Prediction Models in Micro Production for Process Design.
   5TH INTERNATIONAL CONFERENCE ON NEW FORMING TECHNOLOGY, 18.09.-21.09.2018, Bremen, Deutschland.
   

   DOI: 10.1051/matecconf/201819015007

5. C. Bathke, T. Kluth, P. Maaß.
   MPI Reconstruction Using Structural Prior Information and Sparsity.
   International Workshop on Magnetic Particle Imaging 2018.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, S. 129-130, Infinite Science Publishing, 2018.
6. K. Tracht, A. Onken, P. Gralla, J. H. Emad, N. Kipry, P. Maaß.
   Trend-specific clustering for micro mass production of linked parts.
   CIRP General Assembly 2018, 19.08-25.08.2018.
   CIRP Annals, Manufacturing Technology, 67(1):9-12, Elsevier, 2018.

   DOI: 10.1016/j.cirp.2018.04.017

Buchkapitel (1)

1. O. Riemer, P. Maaß, F. E. Elsner-Dörge, P. Gralla, J. Vehmeyer, M. Willert, A. Meier, I. Zahn.
   Predictive compensation measures for the prevention of shape deviations of mircomilled dental products.
   Cold Micro Metal Forming, Springer Verlag, 2018.

Qualifikationsarbeiten (1)

1. T. H. Nguyen.
   Mathematical aspects of catalyst positioning in Lithium-air batteries.
   Dissertationsschrift, Universität Bremen, 2018.

   online unter: Elektronische Bibliothek der Universität Bremen

Preprints (2)

1. R. . Grotheer, T. . Strauss, P. Gralla, T. Khan.
   Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/1803.00948

2. J. Behrmann, S. Dittmer, P. Fernsel, P. Maaß.
   Analysis of Invariance and Robustness via Invertibility of ReLU-Networks.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/1806.09730