| Diagnostic potential of saliva: current state and future applications T Pfaffe, J Cooper-White, P Beyerlein, K Kostner, C Punyadeera Clinical chemistry 57 (5), 675-687, 2011 | 859 | 2011 |
| Method and system for pattern recognition based on dynamically constructing a subset of reference vectors P Beyerlein, MD Ullrich US Patent 5,933,806, 1999 | 183 | 1999 |
| Discriminative model combination P Beyerlein 1997 IEEE Workshop on Automatic Speech Recognition and Understanding …, 1997 | 180 | 1997 |
| Towards language independent acoustic modeling W Byrne, P Beyerlein, JM Huerta, S Khudanpur, B Marthi, J Morgan, ... 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 158 | 2000 |
| One-step homogeneous C-reactive protein assay for saliva C Punyadeera, G Dimeski, K Kostner, P Beyerlein, J Cooper-White Journal of immunological methods 373 (1-2), 19-25, 2011 | 121 | 2011 |
| mRNA-seq with agnostic splice site discovery for nervous system transcriptomics tested in chronic pain P Hammer, MS Banck, R Amberg, C Wang, G Petznick, S Luo, ... Genome research 20 (6), 847-860, 2010 | 92 | 2010 |
| Sequencing of C harcot–M arie–T ooth disease genes in a toxic polyneuropathy AS Beutler, AA Kulkarni, R Kanwar, CJ Klein, TM Therneau, R Qin, ... Annals of neurology 76 (5), 727-737, 2014 | 88 | 2014 |
| Robust gene expression and mutation analyses of RNA-sequencing of formalin-fixed diagnostic tumor samples S Graw, R Meier, K Minn, C Bloomer, AK Godwin, B Fridley, A Vlad, ... Scientific reports 5 (1), 12335, 2015 | 65 | 2015 |
| Targeted or whole genome sequencing of formalin fixed tissue samples: potential applications in cancer genomics S Munchel, Y Hoang, Y Zhao, J Cottrell, B Klotzle, AK Godwin, D Koestler, ... Oncotarget 6 (28), 25943, 2015 | 63 | 2015 |
| Automatic transcription of unknown words in a speech recognition system R Haeb-Umbach, P Beyerlein, E Thelen 1995 International Conference on Acoustics, Speech, and Signal Processing 1 …, 1995 | 58 | 1995 |
| Large vocabulary continuous speech recognition of Broadcast News–The Philips/RWTH approach P Beyerlein, X Aubert, R Haeb-Umbach, M Harris, D Klakow, ... Speech Communication 37 (1-2), 109-131, 2002 | 55 | 2002 |
| Association of the Charcot–Marie–Tooth disease gene ARHGEF10 with paclitaxel induced peripheral neuropathy in NCCTG N08CA (Alliance) GK Boora, AA Kulkarni, R Kanwar, P Beyerlein, R Qin, MS Banck, ... Journal of the neurological sciences 357 (1-2), 35-40, 2015 | 47 | 2015 |
| Generation and analysis of draft sequences of ‘Stolbur'phytoplasma from multiple displacement amplification templates J Mitrović, C Siewert, B Duduk, J Hecht, K Mölling, F Broecker, ... Microbial Physiology 24 (1), 1-11, 2014 | 44 | 2014 |
| Application of clustering techniques to mixture density modelling for continuous-speech recognition C Dugast, P Beyerlein, R Haeb-Umbach 1995 International Conference on Acoustics, Speech, and Signal Processing 1 …, 1995 | 41 | 1995 |
| Method for constructing a model of a new word for addition to a word model database of a speech recognition system R Hab-Umbach, P Beyerlein, E Thelen US Patent 5,873,061, 1999 | 36 | 1999 |
| Modelling and decoding of crossword context dependent phones in the Philips large vocabulary continuous speech recognition system P Beyerlein, M Ullrich, P Wilcox Fifth European Conference on Speech Communication and Technology, 1997 | 34 | 1997 |
| Analyzing features for automatic age estimation on cross-sectional data W Spiegl, G Stemmer, E Lasarcyk, V Kolhatkar, A Cassidy, B Potard, ... Tenth Annual Conference of the International Speech Communication Association, 2009 | 32 | 2009 |
| The Philips/RWTH system for transcription of broadcast news P Beyerlein, X Aubert, R Haeb-Umbach, M Harris, D Klakow, ... Proc. DARPA Broadcast News Workshop, 151-155, 1999 | 32 | 1999 |
| Speaker adaptation in the philips system for large vocabulary continuous speech recognition E Thelen, X Aubert, P Beyerlein 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 27 | 1997 |
| Hamming distance approximation for a fast log-likelihood computation for mixture densities. P Beyerlein, M Ullrich EUROSPEECH 95, 1083-1086, 1995 | 27 | 1995 |
