Linglong Qian

According to our database, Linglong Qian authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Question answering systems for health professionals at the point of care - a systematic review.

Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall

CoRR, 2024

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation.

Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson

CoRR, 2024

2023

Knowledge Enhanced Conditional Imputation for Healthcare Time-series.

Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson

CoRR, 2023

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.

Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium

CoRR, 2023

Addressing Class Imbalance in Electronic Health Records Data Imputation.

Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2022

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

IEEE J. Biomed. Health Informatics, 2022

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation.

Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation.

Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021