| Projection approximation subspace tracking B Yang IEEE Transactions on Signal processing 43 (1), 95-107, 1995 | 1851 | 1995 |
| MedGAN: Medical image translation using GANs K Armanious, C Jiang, M Fischer, T Küstner, T Hepp, K Nikolaou, ... Computerized medical imaging and graphics 79, 101684, 2020 | 720 | 2020 |
| High-performance automotive radar: A review of signal processing algorithms and modulation schemes G Hakobyan, B Yang IEEE Signal Processing Magazine 36 (5), 32-44, 2019 | 295 | 2019 |
| A new approach for supervised power disaggregation by using a deep recurrent LSTM network L Mauch, B Yang 2015 IEEE global conference on signal and information processing (GlobalSIP …, 2015 | 245 | 2015 |
| Emotion recognition from speech signals using new harmony features B Yang, M Lugger Signal processing 90 (5), 1415-1423, 2010 | 234 | 2010 |
| Cramer-Rao bound and optimum sensor array for source localization from time differences of arrival B Yang, J Scheuing Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 227 | 2005 |
| Camera-based drowsiness reference for driver state classification under real driving conditions F Friedrichs, B Yang 2010 IEEE intelligent vehicles symposium, 101-106, 2010 | 185 | 2010 |
| An extension of the PASTd algorithm to both rank and subspace tracking B Yang IEEE Signal Processing Letters 2 (9), 179-182, 1995 | 172 | 1995 |
| The relevance of voice quality features in speaker independent emotion recognition M Lugger, B Yang 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 168 | 2007 |
| Retrospective correction of motion‐affected MR images using deep learning frameworks T Küstner, K Armanious, J Yang, B Yang, F Schick, S Gatidis Magnetic resonance in medicine 82 (4), 1527-1540, 2019 | 153 | 2019 |
| Deep learning-based object classification on automotive radar spectra K Patel, K Rambach, T Visentin, D Rusev, M Pfeiffer, B Yang 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 144 | 2019 |
| Unsupervised medical image translation using cycle-MedGAN K Armanious, C Jiang, S Abdulatif, T Küstner, S Gatidis, B Yang 2019 27th European signal processing conference (EUSIPCO), 1-5, 2019 | 143 | 2019 |
| Rotation-based RLS algorithms: Unified derivations, numerical properties, and parallel implementations B Yang, JF Bohme IEEE Transactions on Signal Processing 40 (5), 1151-1167, 1992 | 131 | 1992 |
| Topography mapping of whole body adipose tissue using a fully automated and standardized procedure C Würslin, J Machann, H Rempp, C Claussen, B Yang, F Schick Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2010 | 124 | 2010 |
| CMGAN: Conformer-based metric GAN for speech enhancement R Cao, S Abdulatif, B Yang arXiv preprint arXiv:2203.15149, 2022 | 119 | 2022 |
| Disambiguation of TDOA estimation for multiple sources in reverberant environments J Scheuing, B Yang IEEE transactions on audio, speech, and language processing 16 (8), 1479-1489, 2008 | 116 | 2008 |
| Automated reference-free detection of motion artifacts in magnetic resonance images T Küstner, A Liebgott, L Mauch, P Martirosian, F Bamberg, K Nikolaou, ... Magnetic Resonance Materials in Physics, Biology and Medicine 31, 243-256, 2018 | 114 | 2018 |
| Automated detection of solar cell defects with deep learning A Bartler, L Mauch, B Yang, M Reuter, L Stoicescu 2018 26th European signal processing conference (EUSIPCO), 2035-2039, 2018 | 113 | 2018 |
| Asymptotic convergence analysis of the projection approximation subspace tracking algorithms B Yang Signal processing 50 (1-2), 123-136, 1996 | 108 | 1996 |
| Robust mean teacher for continual and gradual test-time adaptation M Döbler, RA Marsden, B Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 104 | 2023 |
Sergios GatidisStanford Medicine確認したメール アドレス: stanford.edu
