EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. - Jun Wang 121; Yang Zhao 019; Linglong Qian; Xiaohan Yu 001; Yongsheng Gao 001 (DICTA, 2021)

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 (STACOM@MICCAI, 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)

Addressing Class Imbalance in Electronic Health Records Data Imputation. - Linglong Qian; Zina M. Ibrahim; Ao Zhang; Richard J. B. Dobson (KDH@IJCAI, 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; et al. (CoRR, 2023)

Knowledge Enhanced Conditional Imputation for Healthcare Time-series. - Linglong Qian; Zina M. Ibrahim; Hugh Logan Ellis; Ao Zhang; Yuezhou Zhang; Tao Wang 036; Richard J. B. Dobson (CoRR, 2023)

Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging. - Yu Deng; Yiyang Xu; Linglong Qian; Anastasia Nasopoulou; Steven Williams 001; Michelle C. Williams; Steven A. Niederer; Kuberan Pushparajah; Alistair A. Young (ShapeMI@MICCAI, 2024)

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Richard J. B. Dobson (CoRR, 2024)

Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Wenjie Du; Yiyuan Yang; Richard J. B. Dobson (CoRR, 2024)

TSI-Bench: Benchmarking Time Series Imputation. - Wenjie Du; Jun Wang; Linglong Qian; Yiyuan Yang; Fanxing Liu; Zepu Wang; Zina M. Ibrahim; Haoxin Liu 001; Zhiyuan Zhao 002; Yingjie Zhou; Wenjia Wang; Kaize Ding; et al. (CoRR, 2024)

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. - Linglong Qian; Tao Wang 036; Jun Wang; Hugh Logan Ellis; Robin Mitra; Richard J. B. Dobson; Zina M. Ibrahim (CoRR, 2024)

Fine-tuning - a Transfer Learning approach. - Joseph Arul Raj; Linglong Qian; Zina M. Ibrahim (CoRR, 2024)

MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction. - Yu Deng; Yiyang Xu; Linglong Qian; Charlène Alice Mauger; Anastasia Nasopoulou; Steven Williams 001; Michelle C. Williams; Steven A. Niederer; David E. Newby; Andrew D. McCulloch; Jeffrey H. Omens; Kuberan Pushparajah; et al. (CoRR, 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 (J. Am. Medical Informatics Assoc., 2024)

METHOD: Modular Efficient Transformer for Health Outcome Discovery. - Linglong Qian; Zina M. Ibrahim (CoRR, 2025)

Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. - Pawel Renc; Michal K. Grzeszczyk; Linglong Qian; Nassim Oufattole; Jeff Rasley; Arkadiusz Sitek (CoRR, 2025)