| Sounds of COVID-19: exploring realistic performance of audio-based digital testing J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... NPJ digital medicine 5 (1), 16, 2022 | 70 | 2022 |
| COVID-19 sounds: a large-scale audio dataset for digital respiratory screening T Xia, D Spathis, J Ch, A Grammenos, J Han, A Hasthanasombat, ... Thirty-fifth conference on neural information processing systems datasets …, 2021 | 59 | 2021 |
| Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Siegele-Brown, ... Journal of medical Internet research 24 (6), e37004, 2022 | 23 | 2022 |
| COVID-19 sounds: a large-scale audio dataset for digital COVID-19 detection T Xia, D Spathis, C Brown, J Ch, A Grammenos, J Han, ... NeurIPS 2021 Track Datasets and Benchmarks Round2 Submission, 2021 | 12 | 2021 |
| Stress inference from abdominal sounds using machine learning E Bondareva, M Constantinides, MS Eggleston, I Jabłoński, C Mascolo, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Earables for detection of bruxism: a feasibility study E Bondareva, ER Hauksdóttir, C Mascolo Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 3 | 2021 |
| Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study J Han, M Montagna, A Grammenos, T Xia, E Bondareva, C Siegele-Brown, ... Journal of Medical Internet Research 25, e44804, 2023 | 2 | 2023 |
| Towards uncertainty-aware murmur detection in heart sounds via tandem learning E Bondareva, T Xia, J Han, C Mascolo 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 2 | 2022 |
| COVID-19 disease progression prediction via audio signals: A longitudinal study T Dang, J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, ... arXiv preprint arXiv:2201.01232, 2022 | 2 | 2022 |
| Segmentation-free heart pathology detection using deep learning E Bondareva, J Han, W Bradlow, C Mascolo 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Conditional neural ODE processes for individual disease progression forecasting: a case study on COVID-19 T Dang, J Han, T Xia, E Bondareva, C Siegele-Brown, J Chauhan, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Heart Rate Extraction from Abdominal Audio Signals J Stuchbury-Wass, E Bondareva, KJ Butkow, S Šćepanović, Z Radivojevic, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection E Bondareva, G Rizos, J Han, C Mascolo 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Sounds of COVID-19: exploring realistic performance of audio-based digital testing (preprint) J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... | | 2021 |
| Vital Sign Extraction from Abdominal Audio Signals J Stuchbury-Wass, E Bondareva, KJ Butkow, S Šcepanovic, Z Radivojevic, ... | | |
| COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study (preprint) T Dang, J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, ... | | |
Cecilia MascoloUniversity of CambridgeVerifierad e-postadress på cl.cam.ac.uk
