| Multiparameter Respiratory Rate Estimation from the Photoplethysmogram W Karlen, S Raman, JM Ansermino, GA Dumont IEEE Transactions on Biomedical Engineering 60 (7), 1946 - 1953, 2013 | 346 | 2013 |
| Sleep and wake classification with ECG and respiratory effort signals W Karlen, C Mattiussi, D Floreano Biomedical Circuits and Systems, IEEE Transactions on 3 (2), 71-78, 2009 | 150 | 2009 |
| Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram A Garde, W Karlen, JM Ansermino, GA Dumont PloS one 9 (1), e86427, 2014 | 109 | 2014 |
| Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation W Karlen, K Kobayashi, JM Ansermino, GA Dumont Physiological measurement 33 (10), 1617, 2012 | 109 | 2012 |
| Capillary refill time: is it still a useful clinical sign? A Pickard, W Karlen, JM Ansermino Anesthesia & Analgesia 113 (1), 120-123, 2011 | 109 | 2011 |
| Development of a screening tool for sleep disordered breathing in children using the phone Oximeter™ A Garde, P Dehkordi, W Karlen, D Wensley, JM Ansermino, GA Dumont PloS one 9 (11), e112959, 2014 | 107 | 2014 |
| CapnoBase: Signal database and tools to collect, share and annotate respiratory signals W Karlen, M Turner, E Cooke, GA Dumont, JM Ansermino Annual Meeting of the Society for Technology in Anesthesia (STA) 48, 25, 2010 | 104 | 2010 |
| Cxplain: Causal explanations for model interpretation under uncertainty P Schwab, W Karlen Advances in Neural Information Processing Systems 32, 2019 | 85 | 2019 |
| Empirical mode decomposition for respiratory and heart rate estimation from the photoplethysmogram A Garde, W Karlen, P Dehkordi, JM Ansermino, GA Dumont Computing in cardiology 2013, 799-802, 2013 | 70 | 2013 |
| Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications W Karlen, JM Ansermino, G Dumont 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 70 | 2012 |
| Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices W Karlen, H Gan, M Chiu, D Dunsmuir, G Zhou, GA Dumont, ... PloS one 9 (6), e99266, 2014 | 69 | 2014 |
| Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks P Schwab, GC Scebba, J Zhang, M Delai, W Karlen 2017 Computing in Cardiology (CinC), 1-4, 2017 | 68 | 2017 |
| Perfect match: A simple method for learning representations for counterfactual inference with neural networks P Schwab, L Linhardt, W Karlen arXiv preprint arXiv:1810.00656, 2018 | 57 | 2018 |
| Human-centered Phone Oximeter Interface Design for the Operating Room W Karlen, G Dumont, C Petersen, J Gow, J Lim, J Sleiman, JM Ansermino HEALTHINF 2011 Proceedings of the International Conference on Health Informatics, 2011 | 52 | 2011 |
| Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing P Dehkordi, A Garde, W Karlen, D Wensley, JM Ansermino, GA Dumont 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 51 | 2013 |
| Usability testing of a prototype Phone Oximeter with healthcare providers in high‐and low‐medical resource environments J Hudson, SM Nguku, J Sleiman, W Karlen, GA Dumont, CL Petersen, ... Anaesthesia 67 (9), 957-967, 2012 | 51 | 2012 |
| Improving actigraph sleep/wake classification with cardio-respiratory signals W Karlen, C Mattiussi, D Floreano Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual …, 2008 | 49 | 2008 |
| Granger-causal attentive mixtures of experts: Learning important features with neural networks P Schwab, D Miladinovic, W Karlen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4846-4853, 2019 | 44 | 2019 |
| Estimation of respiratory rate from photoplethysmographic imaging videos compared to pulse oximetry W Karlen, A Garde, D Myers, C Scheffer, JM Ansermino, GA Dumont IEEE journal of biomedical and health informatics 19 (4), 1331-1338, 2015 | 44 | 2015 |
| PhoneMD: Learning to diagnose Parkinson’s disease from smartphone data P Schwab, W Karlen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1118-1125, 2019 | 42 | 2019 |
J Mark AnserminoUniversity of British ColumbiaVerified email at ubc.ca
