Dr Shuo Zhou

Journal articles

• Tripathi P, Suvon M, Schobs L, Zhou S, Alabed S, Swift A & Lu H (2023) Tensor-based multimodal learning for prediction of pulmonary arterial wedge pressure from cardiac MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226. View this article in WRRO
• Alabed S, Uthoff J, Zhou S, Garg P, Dwivedi K, Alandejani F, Gosling R, Schobs L, Brook M, Capener D , Johns C et al (2022) Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension. European Heart Journal - Digital Health, 3(2), 265-275.
• Song L, Zhou S & Lu H (2022) Direct ICA on data tensor via random matrix modeling. Signal Processing, 196.
• Swift AJ, Lu H, Uthoff J, Garg P, Cogliano M, Taylor J, Metherall P, Zhou S, Johns CS, Alabed S , Condliffe RA et al (2021) A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging, 22(2), 236-245.
• Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H , Hütel M et al (2021) Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroImaging transfer learning challenge. Medical Image Analysis, 70.
• Li W, Lou J, Zhou S & Lu H (2019) Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI, 256-264.
• Zhou S, Li W, Cox CR & Lu H (2019) Domain Independent SVM for Transfer Learning in Brain Decoding.
• Lu H () First-Person Video Domain Adaptation with Multi-Scene Cross-Site Datasets and Attention-Based Methods. IEEE Transactions on Circuits and Systems for Video Technology.
• Kunda M, Zhou S, Gong G & Lu H () Improving multi-site autism classification via site-dependence minimization and second-order functional connectivity. IEEE Transactions on Medical Imaging.

Chapters

• Zhou S, Cox CR & Lu H (2019) Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation, Machine Learning in Medical Imaging (pp. 265-273). Springer International Publishing

Conference proceedings papers

• Lu H, Liu X, Zhou S, Turner R, Bai P, Koot RE, Chasmai M, Schobs L & Xu H (2022) PyKale: Knowledge-aware machine learning from multiple sources in Python. CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp 4274-4278). Atlanta GA USA, 17 October 2022 - 17 October 2022.
• Schobs L, Zhou S, Cogliano M, Swift AJ & Lu H (2021) Confidence-quantifying landmark localisation for cardiac MRI. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021) (pp 985-988). Virtual conference, 13 April 2021 - 13 April 2021.
• Zhou S, Li W, Cox CR & Lu H (2020) Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments. Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34(4) (pp 6957-6964). New York, USA, 7 February 2020 - 7 February 2020.

Preprints

• Tripathi PC, Suvon MNI, Schobs L, Zhou S, Alabed S, Swift AJ & Lu H (2023) Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI, arXiv.
• Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H , Hütel M et al (2020) Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge, arXiv.
• Lu H, Liu X, Turner R, Bai P, Koot RE, Zhou S, Chasmai M & Schobs L () PyKale: knowledge-aware machine learning from multiple sources in Python.