What is he best known for?
The fields of study he is best known for:
- Optics
- Algorithm
- Statistics
Paul M. Meaney mainly focuses on Microwave imaging, Iterative reconstruction, Microwave, Biomedical engineering and Breast imaging.
The concepts of his Microwave imaging study are interwoven with issues in Tomography, Breast cancer, Mammography and Medical imaging.
His Iterative reconstruction research integrates issues from Phase, Optics, Contrast, Tikhonov regularization and Algorithm.
Paul M. Meaney performs integrative Microwave and Data acquisition research in his work.
His study looks at the relationship between Biomedical engineering and topics such as Breast disease, which overlap with Monopole antenna, Confocal and Near field imaging.
The various areas that Paul M. Meaney examines in his Breast imaging study include Magnetic resonance imaging, Radiology, Nuclear medicine and Permittivity.
His most cited work include:
- A clinical prototype for active microwave imaging of the breast (612 citations)
- Enhancing breast tumor detection with near-field imaging (504 citations)
- Microwaves for breast cancer detection (319 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Microwave imaging, Microwave, Iterative reconstruction, Optics and Imaging phantom.
His studies deal with areas such as Tomographic reconstruction, Tomography, Breast cancer, Algorithm and Biomedical engineering as well as Microwave imaging.
His Tomography research incorporates elements of Nuclear medicine and Medical imaging.
His Microwave research is multidisciplinary, incorporating perspectives in Acoustics, Monopole antenna, Dielectric, Permittivity and Magnetic resonance imaging.
His Iterative reconstruction research is multidisciplinary, incorporating elements of Iterative method and Electronic engineering.
In his study, Amplitude is strongly linked to Phase, which falls under the umbrella field of Optics.
He most often published in these fields:
- Microwave imaging (71.35%)
- Microwave (38.01%)
- Iterative reconstruction (35.09%)
What were the highlights of his more recent work (between 2017-2021)?
- Microwave imaging (71.35%)
- Algorithm (21.64%)
- Microwave (38.01%)
In recent papers he was focusing on the following fields of study:
Paul M. Meaney mostly deals with Microwave imaging, Algorithm, Microwave, Discrete dipole approximation and Iterative reconstruction.
Paul M. Meaney has included themes like Reconstruction algorithm, Grid, Tomography and Frequency domain in his Microwave imaging study.
His Algorithm research includes themes of Systems design, Lossy compression, Inverse problem and Tomographic reconstruction.
His study in Microwave is interdisciplinary in nature, drawing from both Breast imaging, Scanner, Artificial intelligence and Computer vision.
The Iterative reconstruction study combines topics in areas such as Magnetic resonance imaging and Fiducial marker.
His studies deal with areas such as Mean squared error, Regularization, Biomedical engineering and Permittivity as well as Magnetic resonance imaging.
Between 2017 and 2021, his most popular works were:
- 3-D Microwave Tomography Using the Soft Prior Regularization Technique: Evaluation in Anatomically Realistic MRI-Derived Numerical Breast Phantoms (13 citations)
- Effects of the Plastic of the Realistic GeePS-L2S-Breast Phantom (9 citations)
- Application of Two-Dimensional Discrete Dipole Approximation in Simulating Electric Field of a Microwave Breast Imaging System (7 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Statistics
- Geometry
His primary scientific interests are in Microwave imaging, Microwave, System of measurement, Penetration depth and Bending.
While the research belongs to areas of Microwave imaging, he spends his time largely on the problem of Tomography, intersecting his research to questions surrounding Numerical analysis and Discrete dipole approximation.
His Microwave study combines topics from a wide range of disciplines, such as Breast phantom, Magnetic resonance imaging, Iterative reconstruction and Electromagnetic shielding.
His research integrates issues of Mean squared error, Regularization, Biomedical engineering and Permittivity in his study of Magnetic resonance imaging.
His biological study spans a wide range of topics, including Breast imaging, Fiducial marker and Scanner.
His studies in Penetration depth integrate themes in fields like Coaxial and Optoelectronics, Dielectric.
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