Marco Maaß, M.Sc.

@ARTICLE{katzberg2024,
  author = {Katzberg, Fabrice and Maass, Marco and Mertins, Alfred},
  title = {Doppler Frequency Analysis for Sound-Field Sampling with Moving Microphones},
  journal = {Frontiers in Signal Processing},
  year = {2024},
  volume = {4:1304069},
  month = {January},
}

@ARTICLE{maass2024b,
  author={Maass, Marco and Kluth, Tobias and Droigk, Christine and Albers, Hannes and Scheffler, Konrad and Mertins, Alfred and Knopp, Tobias},
  journal={IEEE Transactions on Computational Imaging}, 
  title={Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging}, 
  year={2024},
  volume={10},
  pages={1588--1601},
  doi={10.1109/TCI.2024.3490381},
}

@InProceedings{Droigk2023,
  author    = {Christine Droigk and Marco Maass and Mathias Eulers and Alfred Mertins},
  title     = {Adaption of direct Chebyshev reconstruction to an anisotropic particle model},
  journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
 doi    = {10.18416/IJMPI.2023.2303027}
}

@InProceedings{Maass2023,
  author    = {Marco Maass and Christine Droigk and Mathias Eulers and Alfred Mertins},
  title     = {A system function component model for magnetic particle imaging with anisotropic particles},
   journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
  doi = {10.18416/IJMPI.2023.2303076},
}

@InProceedings{Eulers2023,
  author    = {Mathias Eulers and Christine Droigk and Marco Maass and Alfred Mertins},
   title     = {Deconvolution of direct reconstructions for MPI using Convolutional Neural Network},
  journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
doi = {10.18416/IJMPI.2023.2303077 }
}

@Article{Droigk2022b,
  author  = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  journal={International Journal on Magnetic Particle Imaging},
  title={System matrix compression using Chebyshev polynomials of first and second kind},
  year = {2022},
  doi    = {10.18416/IJMPI.2022.2212003},
  volume = {8},
  number = {2},
}

@Article{Droigk2022a,
  author  = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  journal = {Physics in Medicine & Biology},
  title   = {Direct multi-dimensional Chebyshev polynomial based reconstruction for magnetic particle imaging},
  year = {2022},
  doi    = {10.1088/1361-6560/ac4c2e},
  volume = {67},
  number = {4},
  pages = {045014},
}

@InProceedings{katzberg2022,
  Title                    = {Positional Tracking of a Moving Microphone in Reverberant Scenes by Applying Perfect Sequences to Distributed Loudspeakers},
  Author                   = {Katzberg, Fabrice and Maass, Marco and Pallenberg, René and Mertins, Alfred},
  Booktitle                = {Proc. International Workshop on Acoustic Signal Enhancement (IWAENC)},
  Year                     = {2022},

  Address                  = {Bamberg, Germany},
  Month                    = {September},
}

@InProceedings{Maass2022N,
     author = {Maass, Marco and Droigk, Christine  and Eulers, Mathias and Mertins, Alfred},
     title = {An analytical equilibrium solution to the Néel relaxation Fokker-Planck equation},
     year = {2022},
     volume = {8},
     number = {1 Suppl 1},
     pages = {1--4},
     doi = {10.18416/IJMPI.2022.2203008},
     journal = {International Journal on Magnetic Particle Imaging},
 }

@InProceedings{katzberg2021b,
  Title                    = {Coherence Based Trajectory Optimization for Compressive Sensing of Sound Fields},
  Author                   = {Katzberg, Fabrice and Maass, Marco and Mertins, Alfred},
  Booktitle                = {Proc. 29th European Signal Processing Conference (EUSIPCO)},
  Year                     = {2021},
  Address                  = {Dublin, Ireland},
  Month                    =  {August},
}

@InProceedings{Koch2021,
  author    = {Koch, Philipp and Mohammad-Zadeh, Kamran and Maass, Marco and Dreier, Mark and Thomsen, Ole and Parbs, Tim J. and Phan, Huy and Mertins, Alfred},
  title     = {sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks},
  booktitle = {43nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  year      = {2021},
  pages     = {6519--6523},
doi = {10.1109/EMBC46164.2021.9630042},
}

@InProceedings{katzberg2021a,
  Title                    = {Spherical Harmonic Representation for Dynamic Sound-Field Measurements},
  Author                   = {Katzberg, Fabrice and Maass, Marco and Mertins, Alfred},
  Booktitle                = {Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  Year                     = {2021},
  Address                  = {Toronto, Canada},
  Month                    =  {June},
}

@InProceedings{Koch2020a,
  author    = {Koch, Philipp and Dreier, Mark and Larsen, Anna and Parbs, Tim J. and Maass, Marco and Phan, Huy and Mertins, Alfred},
  title     = {Regression of Hand Movements from sEMG Data with Recurrent Neural Networks},
  booktitle = {42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  year      = {2020},
  pages     = {3783--3787},
}

@article{mertins2020room,
  title={Room Impulse Response Reshaping and Crosstalk Cancellation Using Convex Optimization},
  author={Mertins, Alfred and Maass, Marco and Katzberg, Fabrice},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  volume={29},
  pages={489--502},
  year={2020},
  publisher={IEEE}
}

@InProceedings{Koch2020b,
  author    = {Koch, Philipp and Dreier, Mark and Maass, Marco and Phan, Huy and Mertins, Alfred},
  title     = {RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition},
  booktitle = {28th European Signal Processing Conference (EUSIPCO)},
  year      = {2020},
  pages     = {1600-1604},
}

@InProceedings{maass2020a,
  author    = {Maass, M. and Droigk, C. and Mertins, A.},
  title     = {MPI reconstruction using Bessel functions},
  year      = {2020},
  journal = {International Journal on Magnetic Particle Imaging},
  volume = {6},
  number = {1 Suppl 1},
  doi = {10.18416/IJMPI.2020.2009017},
  month     = {September},
}

@article{maass2019b,
	author = {Maass, Marco and Mertins, Alfred },
	title = {On the Representation of Magnetic Particle Imaging in Fourier Space},
	journal = {International Journal on Magnetic Particle Imaging},
	volume = {6},
	number = {1},
	year = {2020}
}

@InProceedings{droigk2020a,
  author    = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  title     = {An upper bound for the frequency dependent energy of the 2-dimensional system function},
journal = {International Journal on Magnetic Particle Imaging},
volume={6},
  number={2 Suppl 1},
  year      = {2020},
  month     = {September},
doi = {10.18416/IJMPI.2020.2009018}
}

@InProceedings{maass2020c,
  author    = {Maass, M. and Droigk, C. and Katzberg, F. and Koch, P. and Mertins, A.},
  booktitle = {28th European Signal Processing Conference (EUSIPCO 2020)},
  title     = {A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging},
  month = {September},
  year      = {2020},
  pages    = {2135--2139},
}

@InProceedings{maass2020b,
  author    = {Maass, M. and Droigk, C. and Mertins, A.},
  title     = {A novel representation of the MPI system function},
     year = {2020},
     volume = {6},
     number = {1 Suppl 1},
     doi = {10.18416/IJMPI.2020.2009050},
     journal = {International Journal on Magnetic Particle Imaging},
 }

@incollection{droigk2019joint,
   title={Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging},
   author={Droigk, Christine and Maass, Marco and Englisch, Corbinian and Mertins, Alfred},
   booktitle={Bildverarbeitung f{\"u}r die Medizin 2019},
     series = {Informatik aktuell},
   pages={165-170},
   year={2019},
   publisher = {Springer Vieweg, Wiesbaden},
     organization = {Springer Vieweg, Wiesbaden}, 
editor = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas}, 
doi       = {10.1007/978-3-658-25326-4_35}, }

@inproceedings{koch2019a,
Author = {Koch, P.  and Maass, M. and Bruhns, M. and Droigk, C.  and Parbs, T. J. and Mertins, A.}, 
Title = {Neural Network for Reconstruction of MPI Images}, 
Year = {2019}, 
Pages = {39--40}, 
Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
publisher = {Infinite Science Publishing},
address = {New York, USA}, 
month = {March},
}

@article{droigk2019c,
author={Droigk, Christine and Maass, Marco and Mertins, Alfred},
title={Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model},
journal={International Journal of Computer Assisted Radiology and Surgery},
year={2019},
month={November},
day={01},
volume={14},
number={11},
pages={1913-1921},
abstract={Magnetic particle imaging is a tomographic imaging technique that allows one to measure the spatial distribution of superparamagnetic nanoparticles, which are used as tracer. The magnetic particle imaging scanner measures the voltage induced due to the nonlinear magnetization behavior of the nanoparticles. The tracer distribution can be reconstructed from the voltage signal by solving an inverse problem. A possible application is the imaging of vessel structures. In this and many other cases, the tracer is only located inside the structures and a large part of the image is related to background. A detection of the tracer support in early stages of the reconstruction process could improve reconstruction results.},
issn={1861-6429},
doi={10.1007/s11548-019-02079-w}
}