Követés
Linglong Qian
Linglong Qian
E-mail megerősítve itt: kcl.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
252021
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
152022
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
142024
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
142021
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
72024
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
62024
Uncertainty-aware deep attention recurrent neural network for heterogeneous time series imputation
L Qian, Z Ibrahim, R Dobson
arXiv preprint arXiv:2401.02258, 2024
62024
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
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
12024
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
12023
Addressing class imbalance in electronic health records data imputation
L Qian, Z Ibrahim, A Zhang, RJB Dobson
CEUR Workshop Proceedings 3479, 2023
12023
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
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