MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction

Authors: Deng, Yu, Xu, Yiyang, Qian, Linglong, Mauger, Charlene, Nasopoulou, Anastasia, Williams, Steven, Williams, Michelle, Niederer, Steven, Newby, David, McCulloch, Andrew, Omens, Jeff, Pushprajah, Kuberan, Young, Alistair

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2412.10985

Fine-tuning -- a Transfer Learning approach

Authors: Raj, Joseph Arul, Qian, Linglong, Ibrahim, Zina

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2411.03941

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation

Authors: Qian, Linglong, Wang, Tao, Wang, Jun, Ellis, Hugh Logan, Mitra, Robin, Dobson, Richard, Ibrahim, Zina

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2407.08442

TSI-Bench: Benchmarking Time Series Imputation

Authors: Du, Wenjie, Wang, Jun, Qian, Linglong, Yang, Yiyuan, Ibrahim, Zina, Liu, Fanxing, Wang, Zepu, Liu, Haoxin, Zhao, Zhiyuan, Zhou, Yingjie, Wang, Wenjia, Ding, Kaize, Liang, Yuxuan, Prakash, B. Aditya, Wen, Qingsong

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2406.12747

Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation

Authors: Qian, Linglong, Yang, Yiyuan, Du, Wenjie, Wang, Jun, Dobsoni, Richard, Ibrahim, Zina

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2405.17508

Deep Learning for Multivariate Time Series Imputation: A Survey

Authors: Wang, Jun, Du, Wenjie, Yang, Yiyuan, Qian, Linglong, Cao, Wei, Zhang, Keli, Wang, Wenjia, Liang, Yuxuan, Wen, Qingsong

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2402.04059

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

Authors: Kell, Gregory, Roberts, Angus, Umansky, Serge, Qian, Linglong, Ferrari, Davide, Soboczenski, Frank, Wallace, Byron, Patel, Nikhil, Marshall, Iain J

Subject Terms: Computer Science - Computation and Language, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2402.01700

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

Authors: Qian, Linglong, Ibrahim, Zina, Dobson, Richard

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2401.02258

Knowledge Enhanced Conditional Imputation for Healthcare Time-series

Authors: Qian, Linglong, Raj, Joseph Arul, Ellis, Hugh Logan, Zhang, Ao, Zhang, Yuezhou, Wang, Tao, Dobson, Richard JB, Ibrahim, Zina

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2312.16713

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

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

Subject Terms: Computer Science - Computation and Language, Computer Science - Computers and Society, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2308.11773

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

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

Source: 2021 Digital Image Computing: Techniques and Applications (DICTA) Digital Image Computing: Techniques and Applications (DICTA), 2021. :1-7 Nov, 2021

Relation: 2021 Digital Image Computing: Techniques and Applications (DICTA)

Early-stage remaining useful life prediction for lithium-ion batteries based on geometric output construction

Authors: Lai, Xin ^a, Qian, Linglong ^a, Tang, Xiaopeng ^{b, ⁎}, Zheng, Yuejiu ^a, Zhu, Jiajun ^a, Sun, Tao ^a, Shen, Kai ^a, Lu, Jiahuan ^c

Source: In Journal of Energy Storage 10 April 2025 114 Part B

Recent advancements and perspectives in lithium-ion battery aging: Mechanism, characterization, and prediction

Authors: Liu, Yuan ^a, Lai, Xin ^{a, ⁎}, Zheng, Yuejiu ^a, Cheng, E ^b, Zhu, Jiajun ^a, Qian, Linglong ^a

Source: In Journal of Energy Storage 30 June 2025 122

Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings

Authors: Zhang, Yuezhou, Folarin, Amos A, Sun, Shaoxiong, Cummins, Nicholas, Vairavan, Srinivasan, Qian, Linglong, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Laiou, Petroula, Sankesara, Heet, Matcham, Faith, White, Katie M, Oetzmann, Carolin, Ivan, Alina, Lamers, Femke, Siddi, Sara, Simblett, Sara, Rintala, Aki, Mohr, David C, Myin-Germeys, Inez, Wykes, Til, Haro, Josep Maria, Penninx, Brenda WJH, Narayan, Vaibhav A, Annas, Peter, Hotopf, Matthew, Dobson, Richard JB, consortium, RADAR-CNS

Subject Terms: Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2201.12644

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

Authors: Zhang, Yuezhou ^{a, ⁎}, Folarin, Amos A. ^{a, b, c, d}, Dineley, Judith ^{a, e}, Conde, Pauline ^a, de Angel, Valeria ^a, Sun, Shaoxiong ^{a, f}, Ranjan, Yatharth ^a, Rashid, Zulqarnain ^a, Stewart, Callum ^a, Laiou, Petroula ^a, Sankesara, Heet ^a, Qian, Linglong ^a, Matcham, Faith ^{a, g}, White, Katie ^a, Oetzmann, Carolin ^a, Lamers, Femke ^h, Siddi, Sara ⁱ, Simblett, Sara ^a, Schuller, Björn W. ^{e, j}, Vairavan, Srinivasan ^k, Wykes, Til ^{a, c}, Haro, Josep Maria ⁱ, Penninx, Brenda W.J.H. ^h, Narayan, Vaibhav A. ^{k, l}, Hotopf, Matthew ^{a, c}, Dobson, Richard J.B. ^{a, b, c, d, 1}, Cummins, Nicholas ^{a, ⁎, 1}

Source: In Journal of Affective Disorders 15 June 2024 355:40-49

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

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

Source: IEEE Journal of Biomedical & Health Informatics; Jan2022, Vol. 26 Issue 1, p423-435, 13p

Subject Terms: ELECTRONIC health records, DATA recorders & recording, DECISION making, MACHINE learning, HOSPITAL care