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Mingrui Yang
Mingrui Yang
Department of Biomedical Engineering, Cleveland Clinic
在 ccf.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
982020
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
942015
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
882018
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
702014
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
682012
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
602015
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
552021
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
502013
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
462015
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
412019
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
402014
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
322021
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
322012
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
292023
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
272023
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
262020
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
262011
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
252016
Greedy approximation with regard to non-greedy bases
VN Temlyakov, M Yang, P Ye
Advances in Computational Mathematics 34 (3), 319-337, 2011
242011
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
212020
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