| A knowledge distillation ensemble framework for predicting short-and long-term hospitalization outcomes from electronic health records data ZM Ibrahim, D Bean, T Searle, L Qian, H Wu, A Shek, Z Kraljevic, ... IEEE Journal of Biomedical and Health Informatics 26 (1), 423-435, 2021 | 24 | 2021 |
| Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings: retrospective analysis Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, L Qian, Y Ranjan, ... JMIR mHealth and uHealth 10 (10), e40667, 2022 | 14 | 2022 |
| EAR-NET: error attention refining network for retinal vessel segmentation J Wang, Y Zhao, L Qian, X Yu, Y Gao 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2021 | 14 | 2021 |
| Tsi-bench: Benchmarking time series imputation W Du, J Wang, L Qian, Y Yang, Z Ibrahim, F Liu, Z Wang, H Liu, Z Zhao, ... arXiv preprint arXiv:2406.12747, 2024 | 13 | 2024 |
| Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model Y Zhang, AA Folarin, J Dineley, P Conde, V de Angel, S Sun, Y Ranjan, ... Journal of affective disorders 355, 40-49, 2024 | 7 | 2024 |
| Question answering systems for health professionals at the point of care—a systematic review G Kell, A Roberts, S Umansky, L Qian, D Ferrari, F Soboczenski, ... Journal of the American Medical Informatics Association 31 (4), 1009-1024, 2024 | 6 | 2024 |
| Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation L Qian, Z Ibrahim, R Dobson arXiv preprint arXiv:2401.02258, 2024 | 6 | 2024 |
| Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation L Qian, Y Yang, W Du, W Jun, RJB Dobson, Z Ibrahim arXiv preprint arXiv:2405.17508, 2024 | 4* | 2024 |
| Addressing Class Imbalance in Electronic Health Records Data Imputation L Qian, Z Ibrahim, A Zhang, RJB Dobson CEUR Workshop Proceedings 3479, 2023 | 2 | 2023 |
| Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging Y Deng, Y Xu, L Qian, A Nasopoulou, S Williams, M Williams, S Niederer, ... International Workshop on Shape in Medical Imaging, 112-122, 2024 | 1 | 2024 |
| Knowledge enhanced conditional imputation for healthcare time-series L Qian, JA Raj, HL Ellis, A Zhang, Y Zhang, T Wang, RJB Dobson, ... arXiv preprint arXiv:2312.16713, 2023 | 1 | 2023 |
| MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction Y Deng, Y Xu, L Qian, C Mauger, A Nasopoulou, S Williams, M Williams, ... arXiv preprint arXiv:2412.10985, 2024 | | 2024 |
| Fine-tuning--a Transfer Learning approach JA Raj, L Qian, Z Ibrahim arXiv preprint arXiv:2411.03941, 2024 | | 2024 |
| How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation L Qian, T Wang, J Wang, HL Ellis, R Mitra, R Dobson, Z Ibrahim arXiv preprint arXiv:2407.08442, 2024 | | 2024 |
| Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation Y Deng, Y Wen, L Qian, E Puyol Anton, H Xu, K Pushparajah, Z Ibrahim, ... International Workshop on Statistical Atlases and Computational Models of …, 2022 | | 2022 |