@InCollection{parbs2019a,
  author       = {Parbs, Tim J., and M{\"o}ller, Anita and Mertins, Alfred},
  title        = {Retrospective Blind MR Image Recovery with Parameterised Motion Models},
  booktitle    = {Bildverarbeitung f{\"u}r die Medizin 2019},
  publisher    = {Springer Vieweg, Wiesbaden},
  year         = {2019},
  editor       = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas},
  series       = {Informatik aktuell},
  pages        = {140 - 145},
  doi          = {10.1007/978-3-658-25326-4_30},
  organization = {Springer Vieweg, Wiesbaden},
}

@inproceedings{steinhoff_self-navigated_2019,
	address = {Montréal, QC, Canada},
	title = {Self-navigated {Half}-{Fourier} {Multi}-shot {Echo}-planar {DWI} {Reconstructions} for {Brain} {Imaging}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3345.html},
	abstract = {EPI trajectories using Half-Fourier achieve shorter echo times and therefore higher SNR, which is especially desirable in low-SNR applications like diffusion-weighted MRI. For the same reason, methods enabling phase-corrected image recovery for multi-shot diffusion acquisitions have been intensively studied for both spiral and EPI trajectories. In this work, two algorithms are presented comprising both half-Fourier and the multi-shot same-magnitude constraints to exploit the advantages of both techniques. The algorithms are shown to robustly recover interleaved half-Fourier datasets from in-vivo brain acquisitions.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@article {kepp19,
    title = {Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks},
    journal = {Biomedical Optics Express},
    volume = {10},
    year = {2019},
    month = {July},
    pages = {3484-3496},
    doi = {10.1364/BOE.10.003484},
    author = { Kepp, Timo and Droigk, Christine and Casper, Malte and Evers, Michael and Hüttmann, Gereon and Salma, Nunciada and Manstein, Dieter and Heinrich, Mattias P. and Heinz Handels}
}

@article{steinhoff_segmented_2019,

title = {Segmented diffusion imaging with iterative motion‐corrected reconstruction ({SEDIMENT}) for brain echo‐planar imaging},

issn = {0952-3480, 1099-1492},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/nbm.4185},

doi = {10.1002/nbm.4185},

abstract = {Multi-shot techniques offer improved resolution and signal-to-noise ratio for diffusion- weighted imaging, but make the acquisition vulnerable to shot-specific phase variations and inter-shot macroscopic motion. Several model-based reconstruction approaches with iterative phase correction have been proposed, but robust macroscopic motion estimation is still challenging. Segmented diffusion imaging with iterative motion-corrected reconstruction (SEDIMENT) uses iteratively refined data-driven shot navigators based on sensitivity encoding to cure phase and rigid in-plane motion artifacts. The iterative scheme is compared in simulations and in vivo with a non-iterative reference algorithm for echo-planar imaging with up to sixfold segmentation. The SEDIMENT framework supports partial Fourier acquisitions and furthermore includes options for data rejection and learning-based modules to improve robustness and convergence.},

language = {en},

urldate = {2019-12-11},

journal = {NMR in Biomedicine},

author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
month= { Dec},

year = {2019}

}

@InProceedings{phan2019e,
  author    = {H. Phan and O. Y. Chén and L. Pham and P. Koch and De Vos, M. and I. McLoughlin and A. Mertins},
  title     = {Spatio-Temporal Attention Pooling for Audio Scene Classification},
  booktitle = {Proc. 20th Annual Conference of the International Speech Communication Association (Interspeech)},
  year      = {2019},
  pages     = {3845-3849},
  address   = {Graz, Austria},
  month     = {July},
}

@InProceedings{phan2019a,
  author    = {Phan, H. and Chen, O. Y. and Koch, P. and Pham, L. and McLoughlin, I. and Mertins, A. and De Vos, M.},
  title     = {Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks},
  booktitle = {Proc. 44 th IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2019)},
  year      = {2019},
  address   = {Brighton, UK},
  month     = {May},
}

@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}
}

@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},
}

@INPROCEEDINGS{8903132,
  author={P. Koch and M. Dreier and M. Böhme and M. Maass and H. Phan and A. Mertins},
  booktitle={2019 27th European Signal Processing Conference (EUSIPCO)}, 
  title={Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data}, 
  year={2019},
  volume={},
  number={},
  pages={1-5},}

@inproceedings{droigk2019multiresolution,
Author = {Droigk, Christine and Maass, Marco and Koch, Philipp and Möller, Anita and Mertins, Alfred}, 
Title = {Multiresolution Magnetic Particle Imaging of Vessel Structures with Support Detection}, 
Year = {2019}, 
Pages = {113-114}, 
Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
publisher = {Infinite Science Publishing},
address = {New York, USA}, 
month = {March},
}

@InProceedings{MoellerBVM_2019,
author="Möller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred",
editor="Handels, Heinz and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus Hermann and Palm, Christoph
and Tolxdorff, Thomas",
title="Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories",
booktitle="Bildverarbeitung für die Medizin 2019",
year="2019",
publisher="Springer Fachmedien Wiesbaden",
address="Wiesbaden",
pages="128--133",
abstract="In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.",
isbn="978-3-658-25326-4",
doi="10.1007/978-3-658-25326-4_28",
}

@INPROCEEDINGS{8856844,
  author={P. Koch and M. Dreier and M. Maass and M. Böhme and H. Phan and A. Mertins},
  booktitle={2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}, 
  title={A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data}, 
  year={2019},
  volume={},
  number={},
  pages={5088-5091},}

@inproceedings{steinhoff_multi-shot_2019,
	address = {Montréal, QC, Canada},
	title = {Multi-shot {Diffusion} {EPI} {Reconstruction} with {Iterative} {Rigid} {Motion}-correction and {Motion}-induced {Phase}-correction for {Brain} {Imaging}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3346.html},
	abstract = {Multi-shot diffusion-weighted imaging offers increased SNR and higher resolution, but makes the acquisition vulnerable to shot-specific phase variations and macroscopic inter-shot motion. A wide range of iterative phase-corrected reconstruction schemes have been proposed to overcome the inter-shot phase inconsistencies, but robust motion estimation is still challenging due to the inherently low SNR of DWI. This work moves forward from initial one-time rigid motion estimation to an alternating optimization balancing the joint image, phase and motion estimation. A novel multi-shot echo-planar diffusion algorithm with iterative motion and phase correction is presented in simulations and in-vivo.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@inproceedings{steinhoff_accelerating_2019,
	address = {Montréal, QC, Canada},
	title = {Accelerating {Iterative} {SENSE}-based {Algorithms} for {Cartesian} {Trajectories} using the {Point} {Spread} {Function} and {Coil} {Compression}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3347.html},
	abstract = {For multi-shot diffusion-weighted imaging, iterative SENSE-based algorithms like POCSMUSE are boosting SNR allowing for higher image resolution. These advantages are achieved at the cost of higher computational load, thereby narrowing the clinical use case. The Cartesian implementation of such SENSE algorithms iteratively involves time-consuming 1D-Fast Fourier Transforms. In this abstract, the well-known point spread function for regular Cartesian undersampling is exploited to accelerate gradient- and projection-based SENSE updates. Accelerations of approximately 45\% were achieved. Furthermore, coil compression is evaluated for these algorithms.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@InProceedings{phan2019b,
  author    = {H. Phan and O. Y. Chén and P. Koch and L. Pham and I. McLoughlin and A. Mertins and De Vos, M.},
  title     = {Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?},
  booktitle = {Proc. 2019 AES Conference on Audio Forensics},
  year      = {2019},
  address   = {Porto, Portugal},
  month     = {June},
}

@InProceedings{Maass2019,
  author    = {Maass, M. and Droigk, C. and Koch, P. and Mertins, A.},
  title     = {A Strategy for the Extension of the Kaczmarz Algorithm to Different Priors},
  Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
  year      = {2019},
Pages = {111-112}, 
publisher = {Infinite Science Publishing},
address = {New York, USA}, 
month = { March},
}

@INPROCEEDINGS{moeller2019,
author = {Möller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred},
title = {Blind Sparsity Based Motion Estimation and Correction Model for Arbitrary MRI Sampling Trajectories},
booktitle = {Proceedings of the 27th {Joint} {Annual} {Meeting} of {ISMRM}},
pages = {4496},
year = {2019},
address = {Montreal, Canada},
month = {May},
url ={https://index.mirasmart.com/ISMRM2019/PDFfiles/4496.html}
}

@InProceedings{phan2019d,
  author    = {H. Phan and O. Y. Chén and P. Koch and A. Mertins and De Vos, M.},
  title     = {Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch},
  booktitle = {Proc. 27th European Signal Processing Conference (EUSIPCO)},
  year      = {2019},
  address   = {A Coruna, Spain},
  month     = {September},
}

@InProceedings{Koch2019b,
  author    = {Koch, P. and Brügge, N. and Phan, H. and Maass, M. and Mertins, A.},
  title     = {Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data},
  booktitle = {Proc. 44 th IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2019)},
  year      = {2019},
  address   = {Brighton, UK},
  month     = {May},
}

@InProceedings{phan2019c,
  author    = {H. Phan and O. Y. Chén and P. Koch and A. Mertins and De Vos, M.},
  title     = {Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging},
  booktitle = {Proc. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year      = {2019},
  pages     = {1829-1833},
  address   = {Berlin, Germany},
  month     = {July},
}

@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{Maass2018a,
  author    = {Maass, Marco and Mertins, Alfred},
  title     = {On the Formulation of the Magnetic Particle Imaging System Function in Fourier Space},
  booktitle = {International Workshop on Magnetic Particle Imaging},
  year      = {2018},
  pages     = {39-40},
  address   = {Hamburg, Germany},
  month     = {March},
  publisher = {Infinite Science Publishing}
}

@InProceedings{phan2018b,
  Title                    = {Weighted and Multi-Task Loss for Rare Audio Event Detection},
  Author                   = {H. Phan and M. Krawczyk-Becker and T. Gerkmann and A. Mertins},
  Booktitle                = {Proc. 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  Year                     = {2018},
  Address                  = {Calgary, Canada},
  Month                    = {April},
  Owner                    = {engs1778},
  Timestamp                = {2018.02.09}
}

@InProceedings{mazur2018b,
  author =    {Mazur, Radoslaw and Katzberg, Fabrice and B\"ohme, Martina and Mertins, Alfred},
  title =     {Subband Based Room Impulse Response Reshaping},
  booktitle = {Proc. ITG Fachtagung Sprachkommunikation},
  year =      {2018},
  address =   {Oldenburg, Germany},
  month =     {October}
}

@conference{Coors2018ECCV,
  title = {SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images },
  author = {Coors, Benjamin and Condurache, Alexandru Paul and Geiger, Andreas},
  booktitle = {European Conference on Computer Vision (ECCV)},
  month = Sep,
  year = {2018},
  month_numeric = {9}
}