What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Mathematical analysis
Iterative reconstruction, Optics, Algorithm, Iterative method and Attenuation are his primary areas of study.
His Reconstruction algorithm study, which is part of a larger body of work in Iterative reconstruction, is frequently linked to Collimated light, bridging the gap between disciplines.
His research investigates the connection with Optics and areas like Single-photon emission computed tomography which intersect with concerns in Cone beam reconstruction.
His research on Algorithm frequently connects to adjacent areas such as Tomography.
His Iterative method research includes elements of Projection method and Projector.
His study on Attenuation also encompasses disciplines like
- Rotation which is related to area like Transmission,
- Pixel that connect with fields like Solid modeling.
His most cited work include:
- Three-dimensional iterative reconstruction algorithms with attenuation and geometric point response correction (241 citations)
- Unmatched projector/backprojector pairs in an iterative reconstruction algorithm (187 citations)
- Non-uniform attenuation correction using simultaneous transmission and emission converging tomography (175 citations)
What are the main themes of his work throughout his whole career to date?
Gengsheng L. Zeng mainly investigates Iterative reconstruction, Algorithm, Optics, Artificial intelligence and Computer vision.
Gengsheng L. Zeng interconnects Imaging phantom, Iterative method, Attenuation and Projection in the investigation of issues within Iterative reconstruction.
His study in Attenuation is interdisciplinary in nature, drawing from both Transmission and Attenuation coefficient.
Gengsheng L. Zeng combines subjects such as Projector and Filter with his study of Projection.
Gengsheng L. Zeng has researched Algorithm in several fields, including Image processing, Fourier transform, Noise and Tomography, Filtered backprojection.
His work on Collimator, Detector and Image resolution as part of general Optics study is frequently linked to Collimated light, therefore connecting diverse disciplines of science.
He most often published in these fields:
- Iterative reconstruction (62.73%)
- Algorithm (51.24%)
- Optics (28.26%)
What were the highlights of his more recent work (between 2014-2021)?
- Algorithm (51.24%)
- Iterative reconstruction (62.73%)
- Iterative method (20.50%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Algorithm, Iterative reconstruction, Iterative method, Tomography and Image.
His Algorithm research incorporates elements of Filtered backprojection, Projection, Computer graphics and Noise.
His study on Iterative reconstruction is covered under Artificial intelligence.
Gengsheng L. Zeng focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Collimator and Imaging phantom.
His work focuses on many connections between Tomography and other disciplines, such as Fourier transform, that overlap with his field of interest in Reconstruction algorithm, Inverse problem, Point spread function and Network analysis.
Gengsheng L. Zeng works mostly in the field of Image processing, limiting it down to topics relating to Image quality and, in certain cases, Optics.
Between 2014 and 2021, his most popular works were:
- On Few-View Tomography and Staircase Artifacts (6 citations)
- Noise weighting with an exponent for transmission CT (5 citations)
- Noise weighting with an exponent for transmission CT (5 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical analysis
- Artificial intelligence
Gengsheng L. Zeng spends much of his time researching Iterative reconstruction, Algorithm, Iterative method, Norm and Computer graphics.
Gengsheng L. Zeng has included themes like Imaging phantom, Image and Collimator in his Iterative reconstruction study.
His Imaging phantom study is concerned with the larger field of Optics.
His Algorithm study incorporates themes from Multiplicative function, Tomography, Weighting and Noise.
His studies deal with areas such as Image noise, Filter and Projection as well as Iterative method.
His Norm study combines topics in areas such as Bayesian probability and Image reconstruction algorithm.
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