Research output per year
Research output per year
Personal profile
Keywords
- User defined:
- Mathematical image and video processing; inverse problems and variational methods; matrix computation and application; optimization.
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Dive into the research topics where Yiqiu Dong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles
Uribe, F., Bardsley, J. M., Dong, Y., Hansen, P. C. & Riis, N. A. B., 2022, In: SIAM-ASA Journal on Uncertainty Quantification. 10, 3, p. 1293-1320Research output: Contribution to journal › Journal article › Research › peer-review
File5 Downloads (Pure) -
Image Denoising Via Spatially Adaptive Directional Total Generalized Variation
Tavakkol, E., Dong, Y. & Hosseini, S. M., Aug 2022, In: Iranian Journal of Science and Technology, Transaction A: Science. 46, 4, p. 1283-1294Research output: Contribution to journal › Journal article › Research › peer-review
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A fast method for simultaneous reconstruction and segmentation in X-ray CT application
Dong, Y., Wu, C. & Yan, S., 2021, In: Inverse Problems in Science and Engineering. 29, 13, p. 3342-3359 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure) -
Computed tomography with view angle estimation using uncertainty quantification
Brogaard Riis, N. A., Dong, Y. & Hansen, P. C., Jun 2021, In: Inverse Problems. 37, 6, 21 p., 065007.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile30 Downloads (Pure) -
GMM Based Simultaneous Reconstruction and Segmentation in X-Ray CT Application
Yan, S. & Dong, Y., 2021, Scale Space and Variational Methods in Computer Vision. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer, p. 503-515 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dimension reduction of Bayesian inverse problems
Flock, R., Dong, Y. & Zahm, O.
01/10/2021 → 30/09/2024
Project: PhD
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Computational Uncertainty Quantification for Inverse Problems with Implicit Priors
Everink, J. M., Andersen, M. S. & Dong, Y.
01/10/2021 → 30/09/2024
Project: PhD
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Characterization and Reducing the Influence of Model Errors in Inverse Problems
Riis, N. A. B., Dong, Y., Frikel, J., Hansen, P. C., Knudsen, K., Burger, M. & Seppänen, A. O.
Technical University of Denmark
01/09/2017 → 12/05/2021
Project: PhD