What is he best known for?
The fields of study he is best known for:
- Optics
- Radiology
- Artificial intelligence
His primary areas of investigation include Optics, Attenuation, Ultrasound, Biomedical engineering and Backscatter.
His Optics research is multidisciplinary, incorporating perspectives in Acoustics, Transducer and Shear stress.
His Attenuation research includes themes of Computational physics, Mineralogy and Test object.
His Ultrasound research is classified as research in Radiology.
His Biomedical engineering study integrates concerns from other disciplines, such as Elastography, Radiofrequency ablation, Rf ablation, Reproducibility and Densitometry.
He combines subjects such as Echo, Region of interest, Imaging phantom, Data reduction and Attenuation coefficient with his study of Backscatter.
His most cited work include:
- Tissue mimicking materials for ultrasound phantoms (295 citations)
- Backscatter Coefficient Measurements Using a Reference Phantom to Extract Depth-Dependent Instrumentation Factors: (253 citations)
- A new ultrasound tissue-equivalent material. (176 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Ultrasound, Imaging phantom, Optics, Attenuation and Biomedical engineering.
His Ultrasound research is included under the broader classification of Radiology.
His research in Imaging phantom intersects with topics in Acoustics, Ultrasonic sensor, Transducer and Region of interest.
His Optics research incorporates elements of Data reduction, Spectral density and Signal processing.
His work in Attenuation addresses issues such as Backscatter, which are connected to fields such as Range.
His work carried out in the field of Biomedical engineering brings together such families of science as Image resolution and Soft tissue.
He most often published in these fields:
- Ultrasound (38.72%)
- Imaging phantom (34.47%)
- Optics (31.06%)
What were the highlights of his more recent work (between 2009-2021)?
- Ultrasound (38.72%)
- Imaging phantom (34.47%)
- Acoustics (21.28%)
In recent papers he was focusing on the following fields of study:
James A. Zagzebski mostly deals with Ultrasound, Imaging phantom, Acoustics, Optics and Backscatter.
Ultrasound is a primary field of his research addressed under Radiology.
The concepts of his Imaging phantom study are interwoven with issues in Ultrasonic sensor and Transducer.
In the subject of general Optics, his work in Scattering, Incoherent scatter and Ultrasonic backscatter is often linked to Independent parameter, thereby combining diverse domains of study.
His study in Backscatter is interdisciplinary in nature, drawing from both Attenuation, Scattering theory and Echo.
His Attenuation research includes themes of Power law and Attenuation coefficient.
Between 2009 and 2021, his most popular works were:
- Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy. (87 citations)
- Quantitative Assessment of In Vivo Breast Masses Using Ultrasound Attenuation and Backscatter (48 citations)
- Simultaneous backscatter and attenuation estimation using a least squares method with constraints. (39 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Radiology
- Artificial intelligence
The scientist’s investigation covers issues in Imaging phantom, Backscatter, Attenuation, Optics and Ultrasound.
His Imaging phantom research incorporates themes from Acoustics, Transducer, Pattern recognition and Confidence interval.
His studies in Backscatter integrate themes in fields like Ultrasonic sensor and Scattering theory.
His work deals with themes such as Multitaper, Attenuation coefficient, Biomedical engineering and Scanner, which intersect with Attenuation.
As part of his studies on Optics, he frequently links adjacent subjects like Range.
His Ultrasound study introduces a deeper knowledge of Radiology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
