| Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks S Gaj, M Yang, K Nakamura, X Li Magnetic resonance in medicine 84 (1), 437-449, 2020 | 105 | 2020 |
| Radio-based device-free activity recognition with radio frequency interference B Wei, W Hu, M Yang, CT Chou Proceedings of the 14th International Conference on Information Processing …, 2015 | 95 | 2015 |
| Low rank approximation methods for MR fingerprinting with large scale dictionaries M Yang, D Ma, Y Jiang, J Hamilton, N Seiberlich, MA Griswold, ... Magnetic resonance in medicine 79 (4), 2392-2400, 2018 | 91 | 2018 |
| Face recognition on smartphones via optimised sparse representation classification Y Shen, W Hu, M Yang, B Wei, S Lucey, CT Chou IPSN-14 Proceedings of the 13th International Symposium on Information …, 2014 | 70 | 2014 |
| Efficient background subtraction for real-time tracking in embedded camera networks Y Shen, W Hu, J Liu, M Yang, B Wei, CT Chou Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems …, 2012 | 68 | 2012 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 61 | 2021 |
| Orthogonal matching pursuit with thresholding and its application in compressive sensing M Yang, F De Hoog IEEE Transactions on Signal Processing 63 (20), 5479-5486, 2015 | 60 | 2015 |
| Real-time classification via sparse representation in acoustic sensor networks B Wei, M Yang, Y Shen, R Rana, CT Chou, W Hu Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems …, 2013 | 51 | 2013 |
| Real-time and robust compressive background subtraction for embedded camera networks Y Shen, W Hu, M Yang, J Liu, B Wei, S Lucey, CT Chou IEEE Transactions on Mobile Computing 15 (2), 406-418, 2015 | 46 | 2015 |
| From real to complex: Enhancing radio-based activity recognition using complex-valued CSI B Wei, W Hu, M Yang, CT Chou ACM Transactions on Sensor Networks (TOSN) 15 (3), 1-32, 2019 | 42 | 2019 |
| SimpleTrack: Adaptive trajectory compression with deterministic projection matrix for mobile sensor networks R Rana, M Yang, T Wark, CT Chou, W Hu IEEE Sensors Journal 15 (1), 365-373, 2014 | 40 | 2014 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and cartilage 31 (1), 115-125, 2023 | 33 | 2023 |
| Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: a computational proof‐of‐concept study with MRI follow‐up GA Orozco, P Bolcos, A Mohammadi, MS Tanaka, M Yang, TM Link, B Ma, ... Journal of Orthopaedic Research® 39 (5), 1064-1081, 2021 | 33 | 2021 |
| Efficient cross-correlation via sparse representation in sensor networks P Misra, W Hu, M Yang, S Jha Proceedings of the 11th international conference on Information Processing …, 2012 | 32 | 2012 |
| Quantitative MRI for evaluation of musculoskeletal disease: cartilage and muscle composition, joint inflammation, and biomechanics in osteoarthritis BL Eck, M Yang, JJ Elias, CS Winalski, F Altahawi, N Subhas, X Li Investigative radiology 58 (1), 60-75, 2023 | 31 | 2023 |
| Game of learning Bloch equation simulations for MR fingerprinting M Yang, Y Jiang, D Ma, BB Mehta, MA Griswold arXiv preprint arXiv:2004.02270, 2020 | 26 | 2020 |
| Lebesgue-type inequalities for greedy approximation with respect to quasi-greedy bases VN Temlyakov, M Yang, P Ye East J. Approx 17 (2), 203-214, 2011 | 26 | 2011 |
| Learn to recognise: exploring priors of sparse face recognition on smartphones Y Shen, M Yang, B Wei, CT Chou, W Hu IEEE Transactions on Mobile Computing 16 (6), 1705-1717, 2016 | 25 | 2016 |
| Greedy approximation with regard to non-greedy bases VN Temlyakov, M Yang, P Ye Advances in Computational Mathematics 34 (3), 319-337, 2011 | 24 | 2011 |
| Diagnostic interchangeability of deep convolutional neural networks reconstructed knee MR images: preliminary experience N Subhas, H Li, M Yang, CS Winalski, J Polster, N Obuchowski, ... Quantitative Imaging in Medicine and Surgery 10 (9), 1748, 2020 | 22 | 2020 |
Wen Huunsw, csiro, nictaVerified email at unsw.edu.au
