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Shuo Zhou
Shuo Zhou
Academic Fellow in Machine Learning, University of Sheffield
Verified email at sheffield.ac.uk - Homepage
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Cited by
Year
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis
AJ Swift, H Lu, J Uthoff, P Garg, M Cogliano, J Taylor, P Metherall, S Zhou, ...
European Heart Journal-Cardiovascular Imaging 22 (2), 236-245, 2021
522021
Improving multi-site autism classification via site-dependence minimization and second-order functional connectivity
M Kunda, S Zhou, G Gong, H Lu
IEEE Transactions on Medical Imaging 42 (1), 55-65, 2022
26*2022
Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge
MD Schirmer, A Venkataraman, I Rekik, M Kim, SH Mostofsky, MB Nebel, ...
Medical image analysis 70, 101972, 2021
232021
Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments
S Zhou, W Li, C Cox, H Lu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6957-6964, 2020
13*2020
Improving whole-brain neural decoding of fmri with domain adaptation
S Zhou, CR Cox, H Lu
International workshop on machine learning in medical imaging, 265-273, 2019
122019
Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension
S Alabed, J Uthoff, S Zhou, P Garg, K Dwivedi, F Alandejani, R Gosling, ...
European Heart Journal-Digital Health 3 (2), 265-275, 2022
112022
Sturm: Sparse tubal-regularized multilinear regression for fmri
W Li, J Lou, S Zhou, H Lu
International Workshop on Machine Learning in Medical Imaging, 256-264, 2019
52019
PyKale: Knowledge-aware machine learning from multiple sources in Python
H Lu, X Liu, S Zhou, R Turner, P Bai, RE Koot, M Chasmai, L Schobs, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
42022
Confidence-quantifying landmark localisation for cardiac MRI
L Schobs, S Zhou, M Cogliano, AJ Swift, H Lu
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 985-988, 2021
32021
First-person video domain adaptation with multi-scene cross-site datasets and attention-based methods
X Liu, S Zhou, T Lei, P Jiang, Z Chen, H Lu
IEEE Transactions on Circuits and Systems for Video Technology, 2023
22023
Direct ICA on data tensor via random matrix modeling
L Song, S Zhou, H Lu
Signal Processing 196, 108508, 2022
22022
Interpretable Domain-Aware Learning for Neuroimage Classification
S Zhou
University of Sheffield, 2022
22022
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI
PC Tripathi, MNI Suvon, L Schobs, S Zhou, S Alabed, AJ Swift, H Lu
International Conference on Medical Image Computing and Computer-Assisted …, 2023
2023
Channel-Temporal Attention for First-Person Video Domain Adaptation
X Liu, S Zhou, T Lei, H Lu
arXiv preprint arXiv:2108.07846, 2021
2021
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
X Liu, R Koot, S Zhou, T Lei, H Lu
arXiv preprint arXiv:2106.12023, 2021
2021
A Biased Sampling Network to Localise Landmarks for Automated Disease Diagnosis
L Schobs, S Zhou, M Cogliano, AJ Swift, H Lu
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