Jie Tang
Radiology, Nuclear Medicine and Imaging · with Chen · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 26 citations into it; #470 of 3,265 by trust here, #1,664 by citations
- Biomedical Engineering — 10 citations into it
- Computational Mechanics — 8 citations into it; #2,919 of 10,001 by trust here, #4,450 by citations
Whom Jie Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Emil Y. Sidky
- Hengyong Yu
- Arthur P. Dempster
- U. Gamper
- Jean-Baptiste Thibault
- Jing Wang
- Justin K. Romberg
- Jiang Hsieh
- Terence Tao
Who trusts Jie Tang overall
- Zhiqiang Chen
- Martin J. Willemink
- Oguz Semerci
- Emil Y. Sidky
- Xin Jin
- Varun A. Kelkar
- Eric Maire
- Janki Mehta
- Peter B. Noël
- Xiaochuan Pan
Papers from Jie Tang's perspective
Ordered by how strongly the researchers Jie Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Sparse MRI: The application of compressed sensing for rapid MR imaging
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Computed tomography--an increasing source of radiation exposure. (New England Journal of Medicine)
- Computed Tomography: Principles, Design, Artifacts, and Recent Advances
- Nonlinear total variation based noise removal algorithms
- Statistical image reconstruction for polyenergetic X-ray computed tomography (IEEE Transactions on Medical Imaging)
- Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint (Magnetic Resonance in Medicine)
- Deep Learning: A Primer for Radiologists.
- The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence (European Radiology)
Their papers
- Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms (2009) — 313 citations
- A new era of image reconstruction: TrueFidelityTM Technical white paper on deep learning image reconstruction (2019)
- Prior image constrained compressed sensing (PICCS) (2008) — 1,161 citations