| Advances in multimodal data fusion in neuroimaging: overview, challenges, and novel orientation YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, ... Information Fusion 64, 149-187, 2020 | 318 | 2020 |
| Advances in data preprocessing for biomedical data fusion: an overview of the methods, challenges, and prospects S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ... Information Fusion 76, 376-421, 2021 | 147 | 2021 |
| A systematic survey of deep learning in breast cancer X Yu, Q Zhou, S Wang, YD Zhang International Journal of Intelligent Systems 37 (1), 152-216, 2022 | 46 | 2022 |
| SOSPCNN: Structurally optimized stochastic pooling convolutional neural network for tetralogy of fallot recognition SH Wang, K Wu, T Chu, SL Fernandes, Q Zhou, YD Zhang, J Sun Wireless Communications and Mobile Computing 2021, 1-17, 2021 | 30 | 2021 |
| Demystification of Few-shot and One-shot Learning IY Tyukin, AN Gorban, MH Alkhudaydi, Q Zhou 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 20 | 2021 |
| Brain networks of maintenance, inhibition and disinhibition during working memory C Kang, Y Li, D Novak, Y Zhang, Q Zhou, Y Hu IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (7 …, 2020 | 18 | 2020 |
| Secondary pulmonary tuberculosis identification via pseudo-Zernike moment and deep stacked sparse autoencoder SH Wang, SC Satapathy, Q Zhou, X Zhang, YD Zhang Journal of Grid Computing 20, 1-16, 2022 | 15 | 2022 |
| MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets H Zhu, W Wang, I Ulidowski, Q Zhou, S Wang, H Chen, Y Zhang Knowledge-Based Systems 280, 111035, 2023 | 9 | 2023 |
| WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections Q Zhou, S Wang, X Zhang, YD Zhang Computer Methods and Programs in Biomedicine 221, 106883, 2022 | 8 | 2022 |
| Ensemble learning with attention-based multiple instance pooling for classification of SPT Q Zhou, X Zhang, YD Zhang IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1927-1931, 2021 | 8 | 2021 |
| Sensorineural hearing loss classification via deep-HLNet and few-shot learning X Chen, Q Zhou, R Lan, SH Wang, YD Zhang, X Luo Multimedia Tools and Applications 80, 2109-2122, 2021 | 5 | 2021 |
| Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation Q Zhou, AN Gorban, EM Mirkes, J Bac, A Zinovyev, IY Tyukin 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
| The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning A Bastounis, AN Gorban, AC Hansen, DJ Higham, D Prokhorov, O Sutton, ... International Conference on Artificial Neural Networks, 530-541, 2023 | 1 | 2023 |
| Knowledge distillation for secondary pulmonary tuberculosis classification ensemble Q Zhou, H Zhu, X Zhang, Y Zhang Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021 | 1 | 2021 |
| Multi-Slice Radiomic Analysis of Apparent Diffusion Coefficient Metrics Improves Evaluation of Brain Alterations in Neonates With Congenital Heart Diseases M Zhu, D Zhao, Y Wang, Q Zhou, S Wang, X Mo, M Yang, Y Sun Frontiers in neurology 11, 586518, 2020 | 1 | 2020 |
| Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees IY Tyukin, T Tyukina, D van Helden, Z Zhang, EM Mirkes, OJ Sutton, ... arXiv preprint arXiv:2402.00899, 2024 | | 2024 |
| Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data Q Zhou, S Wang, H Zhu, X Zhang, Y Zhang Neural Networks 167, 380-399, 2023 | | 2023 |
| Relative Intrinsic Dimensionality Is Intrinsic to Learning OJ Sutton, Q Zhou, AN Gorban, IY Tyukin International Conference on Artificial Neural Networks, 516-529, 2023 | | 2023 |
| How adversarial attacks can disrupt seemingly stable accurate classifiers OJ Sutton, Q Zhou, IY Tyukin, AN Gorban, A Bastounis, DJ Higham arXiv preprint arXiv:2309.03665, 2023 | | 2023 |
| Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data Q Zhou, OJ Sutton, YD Zhang, AN Gorban, VA Makarov, IY Tyukin 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
