Signal processing and machine learning
- Signal processing: system identification, estimation and detection, spectral analysis, signal enhancement, blind source separation, sensor fusion
- Machine learning: supervised/unsupervised learning, deep learning
- Applications: speech/audio/image processing, radar signal processing, automotive signal processing (autonomous driving), medical diagnosis, smart grids
- over 250 international publications and 15 patents
- over 40 finished and active PhD students
- 1981.08 – 1986.07
Diploma, Ruhr University Bochum, Bochum, Germany, Electrical Engineering
- 1986.08 – 1991.07
PhD, Ruhr University Bochum, Bochum, Germany, Electrical Engineering
- 1986.08 – 1991.07
Teaching and research assistant, Ruhr University Bochum, Bochum, Germany
- 1991.08 – 1996.07
Postdoc, lecturer and project leader, Ruhr University Bochum, Bochum, Germany
- 1996.08 – 2001.09
Senior engineer, Infineon Technology, Munich, Germany
- 2001.10 – now
Full Professor (C4, tenure), Director of Institute for Signal Processing and System Theory, University of Stuttgart, Germany
- Chair of ITG group “Signal processing and learning”
- Study Dean EE, 2010-2013, University of Stuttgart
- Study Dean EE, 2017- , University of Stuttgart
- Reviewers for IEEE
- Finance Chair of IEEE SAM Workshop, 2007, Darmstadt, Germany
- Co-Chair of IEEE GlobalSIP Symposium “Signal Processing Applications in Smart Buildings”, 2015, Orlando, USA
ISEK - International Society of Electrophysiology and Kinesiology
SfN – Society for Neurosciences
Books and book contributions
B. Lösch and B. Yang. Performance study for complex independent component analysis. In G. R.
Naik and W. Wang, editors, Blind Source Separation: Advances in Theory, Algorithms and Applications,
chapter 3, pages 61–96. Springer, 2014.
M. Lugger and B. Yang. Psychological motivated multi-stage emotion classification exploiting voice
quality features. In F. Mihelic and J. Zibert, editors, Speech Recognition, chapter 22, pages 395–
410. In-Tech, 2008.
J. Scheuing and B. Yang. Correlation-based TDOA-estimation for multiple sources in reverberant
environments. In E. H¨ansler and G. Schmidt, editors, Topics in speech and audio processing in
adverse environments, chapter 11, pages 381–416. Springer-Verlag, 2008.
B. Yang, A. Pèrez-Neira, and M. A. Lagunas. Adaptive arrays for communication. In A. R. F. Vidal,
editor, Digital Signal Processing in Telecommunications, chapter 3, pages 93–170. Springer-Verlag,
B. Yang. Rotationen verwendende Parallelalgorithmen für hochkomplexe Signalverarbeitung und
systolische Rechenfelder. VDI-Verlag, 1991.
G. Hakobyan and B. Yang. High-performance automotive radar: A review of signal processing algorithms
and modulation schemes. IEEE Signal Processing Magazine, 2019.
G. Hakobyan and B. Yang. OFDM-MIMO radar with sparse iterative distance-velocity estimation.
IEEE Trans. Aerospace and Electronic Systems, 2019b.
F. Fallah, S. Walter, F. Bamberg, and B. Yang. Simultaneous volumetric segmentation of vertebral
bodies and intervertebral discs on fat-water MR images. IEEE Journal of Biomedical and Health
G. Hakobyan, K. Armanious, and B. Yang. Coexistence via awareness: Cognitive radar as a remedy
to the automotive interference problem. IEEE Trans. Vehicular Technology, 2018.
T. Küstner, S. Gatidis, A. Liebgott, M. Schwartz, L. Mauch, P. Martirosian, N. Schwenzer, K. Nikolaou,
F. Bamberg, B. Yang, and F. Schick. A machine-learning framework for automatic referencefree
quality assessment in MRI. Magnetic Resonance Imaging, 2018.
A. Liebgott, T. Küstner, H. Strohmeier, T. Hepp, P.Mangold, P.Martirosian, F. Bamberg, K. Nikolaou,
B. Yang, and S. Gatidis. A toolbox for extraction and analysis of medical image features. Int. J.
Computer Assisted Radiology and Surgery, 2018.
C. Wang, L. Mauch, M. Saxena, and B. Yang. On the contextual aspects of using deep convolutional
neural network for semantic image segmentation. J. Electron. Imaging, 2018.
D. Bleh, M. Rösch, M. Kuri, A. Dyck, A. Tessmann, A. Leuther, S. Wagner, B. Weismann-Thaden,
H.-P. Stulz, M. Zink, M. Rießle, R. Sommer, J. Wilcke, M. Schlechtweg, B. Yang, and O. Ambacher.
W-band time-domain multiplexing FMCW MIMO radar for far field 3D imaging. IEEE
Trans. Microwave Theory and Techniques, 2017.
G. Hakobyan and B. Yang. A novel inter-carrier-interference free signal processing scheme for OFDM
radar. IEEE Trans. Vehicular Technology, 2017.
T. Küstner, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, B. Yang, F. Schick, and
S. Gatidis. Automated reference-free detection of motion artifacts in magnetic resonance images.
Magnetic resonance materials in physics, biology and medicin, 2017.
T. Küstner,M. Schwartz, P.Martirosian, S. Gatidis, F. Seith, C. Gilliam, T. Blu, H. Fayad, D. Visvikis,
F. Schick, B. Yang, H. Schmidt, and NF. Schwenzer. MR-based respiratory and cardiac motion
correction for PET imaging. Medical Image Analysis, 2017.
L. Mauch, C. Wang, and B. Yang. Subset selection for visualization of relevant image fractions for
deep learning based semantic image segmentation. Journal of the Franklin Institute, 2017.
M. Schwartz, G. Steidle, P. Martirosian, A. Ramos-Murguialday, H. Preissl, A. Stemmer, B. Yang,
and F. Schick. Spontaneous mechanical and electrical activities of human calf musculature at rest
assessed by repetitive single-shot diffusion-weighted MRI and simultaneous surface electromyography.
Magnetic Resonance in Medicine, 2017.
F. Fallah, J. Machann, P. Martirosian, F. Bamberg, F. Schick, and B. Yang. Comparison of T1-
weighted 2D TSE, 3D SPGR, and two-point 3D DixonMRI for automated segmentation of visceral
adipose tissue at 3 Tesla. Magnetic Resonance Materials in Physics, Biology and Medicine, pages
T. Küstner, C. Würslin, S. Gatidis, P. Martirosian, K. Nikolaou, NF. Schwenzer, F. Schick, B. Yang,
and H. Schmidt. MR image reconstruction using a combination of compressed sensing and partial
Fourier acquisition: ESPReSSo. IEEE Trans. Medical Imaging, 2016.
T. Küstner, C. Würslin, M. Schwartz, P. Martirosian, S. Gatidis, C. Brendle, F. Seith, F. Schick, NF.
Schwenzer, B. Yang, and H. Schmidt. Self-navigated 4D cartesian imaging of periodic motion in
the body trunk using partial k-space compressed sensing. Magnetic Resonance in Medicine, 2016.
L. Mauch, G. Steidle, J. Machann, B. Yang, and F. Schick. A fully automatic reference deconvolution
strategy to increase the accuracy of in vivo lipid signal quantification. Magnetic Resonance in
B. Lösch and B. Yang. Cramer-Rao bound for circular and noncircular complex independent component
analysis. IEEE Trans. Signal Processing, 61:365–379, 2013.
Open Access Articles
S. Abdulatif, K. Armanious, F. Aziz, U. Schneider, and Bin Yang. An adversarial super-resolution
remedy for radar design trade-offs. arXiv:1903.01392, 2019a.
K. Armanious, C. Jiang, M. Fischer, T. Küstner, K. Nikolaou, S. Gatidis, and B. Yang. MedGAN:
Medical image translation using GANs. arXiv:1806.06397, 2018a.
K. Armanious, S. Gatidis, K. Nikolaou, B. Yang, and T. Küstner. Retrospective correction of rigid
and non-rigid MR motion artifacts using GANs. arXiv:1809.06276, 2018b.
K. Armanious, M. Youssef, and S. Gatidis B. Yang. Adversarial inpainting of medical image modalities.
K. Armanious, S. Abdulatif, F. Aziz, B. Kleiner, U. Schneider, and Bin Yang. Towards adversarial
denoising of radar Micro-Doppler signatures. arXiv:1811.04678, 2018.
L. Mauch, L.Enderich, and B. Yang. Deep neural network inference with reduced word length.
Reviewed Conference Articles
K. Patel, K. Rambach, T. Visentin, D. Rusev, M. Pfeiffer, and B. Yang. Deep learning-based object
classification on automotive radar spectra. In IEEE Radar Conference, 2019.
S. Abdulatif, F. Aziz, K. Armanious, B. Kleiner, Bin Yang, and U. Schneider. Person identification
and bodymass index: A deep learning-based study onMicro-Dopplers. In IEEE Radar Conference,
K. Barsim and B. Yang. On the feasibility of generic deep disaggregation for single-load extraction.
In 4. NILM Workshop, 2018.
A. Bartler, L.Mauch, B. Yang,M. Reuter, and L. Stoicescu. Automated detection of solar cell defects
with deep learning. In Proc. European Signal Processing Conference, 2018.
F. Fallah, B. Yang, S. Walter, and F. Bamberg. Hierarchical feature-learning graph-based segmentation
of fat-water MR images. In Proc. IEEE Conf. Signal Processing, Algorithms, Architectures,
Arrangements, and Applications, 2018.
F. Fallah, B. Yang, S. Walter, and F. Bamberg. A hierarchical ensemble classifier for multilabel
segmentation of fat-water MR images. In Proc. European Signal Processing Conference, 2018.
T. Küstner, M. Jandt, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis,
F. Schick, and B. Yang. Automatic motion artifact detection for whole-body magnetic resonance
imaging. In Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2018.
T. Küstner, K. Liu, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, B. Yang,
F. Schick, and S. Gatidis. Simultaneous detection and identification of MR artifact types in wholebody
imaging. In Proc. of Annual Meeting ISMRM, 2018.
T. Küstner, M. Fischer, M. M¨uller, S. Gutmann, K. Nikolaou, F. Bamberg, B. Yang, F. Schick, and
S. Gatidis. Automated segmentation of abdominal organs in T1-weighted MR images using a deep
learning approach: Application on a large epidemiological MR study. In Proc. of Annual Meeting
T. Küstner,M. Schwartz, P.Martirosian, K. Nikolaou, F. Bamberg, S. Gatidis, B. Yang, and F. Schick.
Improved subsampling trajectory for reliable assessment of cardiac and respiratory motion in 5D
MRI for body motion correction. In Proc. of Annual Meeting ISMRM, 2018.
T. Küstner, M. Jandt, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis,
B. Yang, and F. Schick. Motion artifact quantification and localization for whole-body MRI. In
Proc. of Annual Meeting ISMRM, 2018.
T. Küstner, S. Müller, M. Fischer, J. Weiss, K. Nikolaou, F. Bamberg, B. Yang, F. Schick, and S. Gatidis.
Semantic organ segmentation in 3D whole-body MR images. In Proc. of Annual Meeting
A. Liebgott, S. Gatidis, F. Liegott, K. Nikolaou, and B. Yang. Automated detection of high FDG
uptake regions in CT images. In Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing,
A. Liebgott, S. Milde, M. Jandt, L. Mauch, P. Martirosian, F. Bamberg, F. Schick, K. Nikolaou,
B. Yang, S. Gatidis, and T. Küstner. Impact of labeling process on automated motion artifact
detection in whole-body MR images with a deep learning approach: A comparative study. In Proc.
ISMRM Workshop on Machine Learning, 2018.
A. Liebgott, D. Boborzi, S. Gatidis, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Active learning
for automated reference-free MR image quality assessment: Descreasing the number of required
training samples by reduction of intra-batch redundancy. In Proc. of AnnualMeeting ISMRM, 2018.
S. Milde. Graphical user interface for medical deep learning: Application to magnetic resonance
motion artifact detection. In Proc IEEE APSIPA, 2018.
P. Schlachter and B. Yang. Active learning for one-class classification using two one-class classifiers.
In Proc. European Signal Processing Conference, 2018.
M. Ulrich, T. Hess, S. Abdulatif, and B. Yang. Person recognition based on micro-doppler and thermal
infrared camera fusion for firefighting. In Proc. Int. Conf. Information Fusion, 2018.
M. Ulrich and B. Yang. Short-duration Doppler spectrogram for person recognition with a handheld
radar. In Proc. European Signal Processing Conference, 2018.
C. Wang, B. Yang, and Y. Liao. Binary segmentation based class extension in semantic image segmentation
using convolutional neural networks. In Proc. IEEE Int. IProcessing, 2018.