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Linglong Qian
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2020 – today
- 2024
- [j2]Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
:
Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. 31(4): 1009-1024 (2024) - [i7]Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson:
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR abs/2401.02258 (2024) - [i6]Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall:
Question answering systems for health professionals at the point of care - a systematic review. CoRR abs/2402.01700 (2024) - [i5]Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson:
Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR abs/2405.17508 (2024) - [i4]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - [i3]Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim:
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR abs/2407.08442 (2024) - 2023
- [c3]Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson:
Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI 2023 - [i2]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:
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR abs/2308.11773 (2023) - [i1]Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson:
Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR abs/2312.16713 (2023) - 2022
- [j1]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
:
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 26(1): 423-435 (2022) - [c2]Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson
, Alistair A. Young:
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI 2022: 26-35 - 2021
- [c1]Jun Wang
, Yang Zhao
, Linglong Qian, Xiaohan Yu
, Yongsheng Gao:
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. DICTA 2021: 1-7
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