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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Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
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Computed Tomography Reconstruction with Uncertain View Angles by Iteratively Updated Model Discrepancy
Riis, N. A. B., Dong, Y. & Hansen, P. C., 1 Jan 2020, In : Journal of Mathematical Imaging and Vision. 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise
Wu, T., Li, W., Jia, S., Dong, Y. & Zeng, T., 2020, In : IEEE Signal Processing Letters. 27, p. 1635-1639Research output: Contribution to journal › Journal article › Research › peer-review
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Tomographic reconstruction with spatially varying parameter selection: Special Issue Article
Dong, Y. & Schönlieb, C-B., 2020, In : Inverse Problems. 36, 5, 16 p., 054002 .Research output: Contribution to journal › Journal article › Research › peer-review
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A New Iterative Method for CT Reconstruction with Uncertain View Angles
Riis, N. A. B. & Dong, Y., 1 Jan 2019, Proceedings of 7th International Conference on Scale Space and Variational Methods in Computer Vision. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer, p. 156-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile -
An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data
Huo, L., Luo, S., Dong, Y., Tai, X. C. & Wang, Y., 1 Jan 2019, Proceedings of 7th International Conference on Scale Space and Variational Methods in Computer Vision. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer, p. 144-155 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
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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 → 05/02/2021
Project: PhD
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Quantity of Interest Tomography
Jensen, B. C. S., Knudsen, K., Adesokan, B. J., Andersen, M. S., Dong, Y., Cornean, H. & Tarvainen, T.
Technical University of Denmark
01/01/2017 → 12/08/2020
Project: PhD
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X-ray phase contrast nano-tomography of 3rd generation solar cells
Fevola, G., Andreasen, J. W., Carbone, G., Dong, Y., Kuhn, L. T., Detlefs, C. & Mokso, R.
01/09/2016 → 30/09/2020
Project: PhD
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Priors for Temporal Tomographic image Reconstruction
Aggrawal, H. O., Andersen, M. S., Hansen, P. C., Dong, Y., Sjibers, J. & Nielsen, M.
Technical University of Denmark
01/04/2015 → 30/09/2018
Project: PhD