What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Statistics
His primary areas of study are Iterative reconstruction, Algorithm, Artificial intelligence, Computer vision and Positron emission tomography.
His Iterative reconstruction study combines topics in areas such as Image resolution, Image quality, Image processing, Nuclear medicine and Tomography.
His study in Algorithm focuses on Iterative method in particular.
His work carried out in the field of Iterative method brings together such families of science as Penalty method, Differentiable function, Quadratic equation and Thresholding.
Within one scientific family, Michel Defrise focuses on topics pertaining to Invariant under Artificial intelligence, and may sometimes address concerns connected to Pattern recognition, Robustness, Matched filter and Image registration.
His Positron emission tomography study which covers Detector that intersects with Fourier transform and Radon transform.
His most cited work include:
- An Iterative Thresholding Algorithm for Linear Inverse Problems with a Sparsity Constraint (3617 citations)
- Exact and approximate rebinning algorithms for 3-D PET data (677 citations)
- Symmetric phase-only matched filtering of Fourier-Mellin transforms for image registration and recognition (571 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Iterative reconstruction, Algorithm, Artificial intelligence, Computer vision and Optics.
His Iterative reconstruction research is multidisciplinary, incorporating elements of Image resolution, Detector, Imaging phantom, Positron emission tomography and Tomography.
His research integrates issues of Field of view and Scanner in his study of Detector.
His study explores the link between Tomography and topics such as Mathematical analysis that cross with problems in Hilbert transform.
His studies deal with areas such as Image processing, Attenuation, Fourier transform and Inverse problem as well as Algorithm.
His work on Pinhole, Collimator, Aperture and Projection as part of general Optics study is frequently connected to Materials science, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Iterative reconstruction (49.31%)
- Algorithm (31.72%)
- Artificial intelligence (29.66%)
What were the highlights of his more recent work (between 2009-2020)?
- Iterative reconstruction (49.31%)
- Algorithm (31.72%)
- Attenuation (11.03%)
In recent papers he was focusing on the following fields of study:
Michel Defrise mostly deals with Iterative reconstruction, Algorithm, Attenuation, Positron emission tomography and Artificial intelligence.
His Iterative reconstruction research includes elements of Image resolution, Medical imaging, Imaging phantom, Iterative method and Scaling.
Michel Defrise has included themes like Time of flight, Fourier transform, Detector and Consistency in his Algorithm study.
His study in Attenuation is interdisciplinary in nature, drawing from both Uniqueness, Mathematical analysis, Nuclear medicine and Computed tomography.
His work on PET-CT is typically connected to Materials science as part of general Positron emission tomography study, connecting several disciplines of science.
His biological study spans a wide range of topics, including Computer vision and Pattern recognition.
Between 2009 and 2020, his most popular works were:
- Time-of-flight PET data determine the attenuation sinogram up to a constant (202 citations)
- Simultaneous Reconstruction of Activity and Attenuation in Time-of-Flight PET (178 citations)
- Iterative Correction of Beam Hardening Artifacts in CT (91 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Statistics
- Artificial intelligence
Michel Defrise focuses on Iterative reconstruction, Algorithm, Attenuation, Positron emission tomography and Correction for attenuation.
Artificial intelligence and Computer vision are the main topics of his Iterative reconstruction study.
Michel Defrise interconnects Detector and Scanner in the investigation of issues within Computer vision.
Michel Defrise works in the field of Algorithm, namely Iterative method.
Michel Defrise combines subjects such as Dosimetry and Scaling with his study of Positron emission tomography.
His research in Correction for attenuation intersects with topics in Consistency and Scale factor.
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