| A deep learning method for pathological voice detection using convolutional deep belief networks H Wu, J Soraghan, A Lowit, G Di Caterina Interspeech 2018, 2018 | 109 | 2018 |
| Convolutional neural networks for pathological voice detection H Wu, J Soraghan, A Lowit, G Di Caterina 2018 40th annual international conference of the ieee engineering in …, 2018 | 53 | 2018 |
| A fully-automated paper ECG digitisation algorithm using deep learning H Wu, KHK Patel, X Li, B Zhang, C Galazis, N Bajaj, A Sau, X Shi, L Sun, ... Scientific Reports 12 (1), 20963, 2022 | 11 | 2022 |
| Tempera: Spatial transformer feature pyramid network for cardiac MRI segmentation C Galazis, H Wu, Z Li, C Petri, AA Bharath, M Varela International Workshop on Statistical Atlases and Computational Models of …, 2021 | 7 | 2021 |
| Is machine learning the future for atrial fibrillation screening? P Sivanandarajah, H Wu, N Bajaj, S Khan, FS Ng Cardiovascular Digital Health Journal 3 (3), 136-145, 2022 | 4 | 2022 |
| E Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features A Sau, AH Ribeiro, KA McGurk, L Pastika, N Bajaj, M Ardissino, JY Chen, ... Heart 109 (Suppl 3), A315-A316, 2023 | 2 | 2023 |
| Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations A Sau, AH Ribeiro, KA McGurk, L Pastika, N Bajaj, M Ardissino, JY Chen, ... medRxiv, 2023.06. 15.23291428, 2023 | 1 | 2023 |
| Neural Network-Derived Electrocardiographic Features Predict Future Cardiovascular Disease and All-Cause Mortality A Sau, A Ribeiro, KA McGurk, L Pastika, N Bajaj, M Ardissino, JY Chen, ... Circulation 148 (Suppl_1), A13245-A13245, 2023 | | 2023 |
| Information theory-based direct causality measure to assess cardiac fibrillation dynamics X Shi, A Sau, X Li, K Patel, N Bajaj, M Varela, H Wu, B Handa, A Arnold, ... Journal of the Royal Society Interface 20 (207), 20230443, 2023 | | 2023 |
| DH-452784-1 UNSUPERVISED MACHINE LEARNING IDENTIFIES PROGNOSTICALLY SIGNIFICANT PHENOGROUPS FROM NEURAL NETWORK-DERIVED ECG FEATURES A Sau, AH Ribeiro, K McGurk, L Pastika, N Bajaj, JY Chen, H Wu, X Shi, ... Heart Rhythm 20 (5), S87-S88, 2023 | | 2023 |
| Acoustic-based machine learning diagnostic tool for voice disorders H Wu | | 2020 |
