| A low dose simulation tool for CT systems with energy integrating detectors S Žabić, Q Wang, T Morton, KM Brown Medical physics 40 (3), 031102, 2013 | 123 | 2013 |
| Highly undersampled contrast-enhanced MRA with iterative reconstruction: Integration in a clinical setting Aurelien F. Stalder, Michaela Schmidt, Harald H. Quick, Marc Schlamann ... Magnetic Resonance in Medicine, 2014 | 67* | 2014 |
| Dynamics in cryo EM reconstructions visualized with maximum-likelihood derived variance maps Qiu Wang, Tsutomu Matsui, Tatiana Domitrovic, Yili Zheng, Peter C Doerschuk ... Journal of Structural Biology 181 (3), 195-206, 2013 | 53 | 2013 |
| Virus assembly and maturation: auto-regulation through allosteric molecular switches T Domitrovic, N Movahed, B Bothner, T Matsui, Q Wang, PC Doerschuk, ... Journal of molecular biology 425 (9), 1488-1496, 2013 | 32 | 2013 |
| Three-dimensional reconstruction of the statistics of heterogeneous objects from a collection of one projection image of each object Yili Zheng, Qiu Wang, Peter C Doerschuk JOSA A 29 (6), 959-970, 2012 | 24 | 2012 |
| Dynamic and geometric analyses of Nudaurelia capensis ω virus maturation reveal the energy landscape of particle transitions J Tang, BM Kearney, Q Wang, PC Doerschuk, TS Baker, JE Johnson Journal of Molecular Recognition 27 (4), 230-237, 2014 | 17 | 2014 |
| Dynamic image reconstruction with tight frame learning J Liu, Q Wang, M Nadar, M Zenge, E Mueller US Patent 9,453,895, 2016 | 6 | 2016 |
| Tight Frame Learning for Cardiovascular MRI Q. Wang, J. Liu, N. Janardhanan, M. Zenge, E. Mueller, M. Nadar IEEE International Symposium on Biomedical Imaging (ISBI), 2013 | 3* | 2013 |
| Reference oversampling in sense-type magnetic resonance reconstruction Q Wang, DG Gungor, M Zenge, MD Nickel, E Müller, MS Nadar US Patent 9,746,538, 2017 | 2 | 2017 |
| Highly scalable methods for exploiting a label with unknown location in order to orient a set of single-particle cryo electron microscopy images CJ Prust, Q Wang, PC Doerschuk, JE Johnson Computational Imaging X 8296, 45-50, 2012 | 2 | 2012 |
| Sampling strategies for sparse magnetic resonance image reconstruction Q Wang, M Zenge, E Mueller, MS Nadar US Patent 9,689,947, 2017 | 1 | 2017 |
| Accelerated Segmented Cine TrueFISP of the Heart on a 1.5T MAGNETOM Aera Using k-t-sparse SENSE M. Carr, B. Spottiswoode, B. Allen, M. Schmidt, M. Nadar, Q. Wang, J ... MAGNETOM,, 2013 | 1* | 2013 |
| Stochastic 3-D signal reconstruction from noisy projection data for heterogeneous instances of objects in electron microscopy imagery Yili Zheng, Qiu Wang, Peter C Doerschuk Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on …, 2011 | 1* | 2011 |
| Inverse problems for cryo electron microscopy of viruses: randomly oriented projection images of random 3D structures in noise Q Wang, PC Doerschuk Computational Imaging IX 7873, 31-38, 2011 | 1 | 2011 |
| On an extension of Lesche stability A El Kaabouchi, A Le Méhauté, L Nivanen, CJ Ou, AQ Wang Proceedings of the international workshop on statistical physics and …, 2008 | 1 | 2008 |
| Statistical Reconstruction and Heterogeneity Characterization in 3-D Biological Macromolecular Complexes Q Wang, PC Doerschuk Statistical Methods for Materials Science, 111-126, 2019 | | 2019 |
| Sparse iterative phase correction for MR partial fourier reconstruction Q Wang, E Raithel US Patent 10,068,328, 2018 | | 2018 |
| 3-D image reconstruction for bio nanomachines with helical symmetry: Image formation theory Q Wang, PC Doerschuk 2015 IEEE International Conference on Image Processing (ICIP), 892-896, 2015 | | 2015 |
| Characterizing heterogeneity among virus particles by stochastic 3D signal reconstruction N Xu, Y Gong, Q Wang, Y Zheng, PC Doerschuk Image Reconstruction from Incomplete Data VIII 9600, 85-95, 2015 | | 2015 |
| Multi-stage magnetic resonance reconstruction for parallel imaging applications Q Wang, J Liu, Z Yang, MS Nadar, N Janardhanan, M Zenge, E Mueller, ... US Patent US 9097780 B2, 2015 | | 2015 |
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