What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Internal medicine
The scientist’s investigation covers issues in Ultrasound, Acoustic droplet vaporization, Biomedical engineering, Imaging phantom and Artificial intelligence.
His research integrates issues of Ultrasonic sensor, Medical physics and Pathology in his study of Ultrasound.
His Acoustic droplet vaporization study combines topics in areas such as Emulsion, Blood flow, Optics and Vaporization.
Paul L. Carson has included themes like Multiphysics, Microstrip and Breast tissue in his Biomedical engineering study.
His studies in Imaging phantom integrate themes in fields like Power, Magnetic resonance imaging, Nuclear magnetic resonance and Signal.
His work is dedicated to discovering how Artificial intelligence, Computer vision are connected with Affine transformation and other disciplines.
His most cited work include:
- Power Doppler US : a potentially useful alternative to mean frequency-based color Doppler US (749 citations)
- Acoustic droplet vaporization for therapeutic and diagnostic applications. (403 citations)
- Fractional moving blood volume: estimation with power Doppler US (247 citations)
What are the main themes of his work throughout his whole career to date?
Ultrasound, Biomedical engineering, Optics, Ultrasonic sensor and Radiology are his primary areas of study.
His Ultrasound research includes themes of Imaging phantom, Transducer and Medical imaging.
His biological study spans a wide range of topics, including Image quality and Signal.
His Biomedical engineering research also works with subjects such as
- Acoustic droplet vaporization which is related to area like Emulsion,
- Blood flow and related Perfusion.
As part of his studies on Optics, Paul L. Carson often connects relevant areas like Vaporization.
His Radiology research incorporates themes from Breast imaging, Breast cancer and Prostate cancer.
He most often published in these fields:
- Ultrasound (40.10%)
- Biomedical engineering (24.82%)
- Optics (21.72%)
What were the highlights of his more recent work (between 2011-2021)?
- Ultrasound (40.10%)
- Biomedical engineering (24.82%)
- Imaging phantom (15.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Ultrasound, Biomedical engineering, Imaging phantom, Medical imaging and Artificial intelligence.
His Ultrasound study deals with the bigger picture of Radiology.
His Biomedical engineering study integrates concerns from other disciplines, such as Photoacoustic Techniques, Reproducibility, Radiation, Acoustic droplet vaporization and Radiation therapy.
His Imaging phantom research includes elements of Acoustics, Signal, Sensor array and Medical physics.
His Signal research is multidisciplinary, incorporating perspectives in Optics and Microscopy.
His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with issues in Ultrasonic sensor and Tomography.
Between 2011 and 2021, his most popular works were:
- Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment. (166 citations)
- Digital Breast Tomosynthesis Is Comparable to Mammographic Spot Views for Mass Characterization (111 citations)
- A Preclinical System Prototype for Focused Microwave Thermal Therapy of the Breast (80 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Internal medicine
Paul L. Carson focuses on Ultrasound, Radiology, Biomedical engineering, Photoacoustic Techniques and Medical imaging.
His Ultrasound research is multidisciplinary, relying on both Imaging phantom, Breast cancer, Human breast and Transducer.
As a part of the same scientific family, Paul L. Carson mostly works in the field of Imaging phantom, focusing on Phase and, on occasion, Medical physics.
His Radiology research is multidisciplinary, incorporating elements of Tomosynthesis, Mammography and Breast ultrasound.
He studied Biomedical engineering and Ultrasonic sensor that intersect with Nyquist–Shannon sampling theorem and Image resolution.
He interconnects Elasticity Imaging Techniques and Pathology in the investigation of issues within Photoacoustic Techniques.
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