What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Optics
- Statistics
Michael F. Insana focuses on Optics, Ultrasonic sensor, Acoustics, Backscatter and Elastography.
He combines subjects such as Image processing, Image noise and Transducer with his study of Optics.
His Ultrasonic sensor research includes elements of Standard error, Viscoelasticity and Pathology.
His work in Acoustics addresses issues such as Image resolution, which are connected to fields such as Fast Fourier transform, Cepstrum, Autoregressive model and Spectral density estimation.
His Backscatter study integrates concerns from other disciplines, such as Basis, Scattering, Spectral density, Feature vector and Attenuation.
The concepts of his Elastography study are interwoven with issues in Elasticity, Elastic modulus, Signal processing, Stiffness and Biomedical engineering.
His most cited work include:
- Selected methods for imaging elastic properties of biological tissues. (574 citations)
- Thyroid gland tumor diagnosis at US elastography (518 citations)
- Phantom materials for elastography (428 citations)
What are the main themes of his work throughout his whole career to date?
Michael F. Insana mostly deals with Ultrasonic sensor, Artificial intelligence, Optics, Acoustics and Ultrasound.
His Ultrasonic sensor research is multidisciplinary, relying on both Echo, Noise, Signal processing, Viscoelasticity and Biomedical engineering.
The Artificial intelligence study combines topics in areas such as Observer, Ultrasonic imaging, Computer vision and Pattern recognition.
Optics connects with themes related to Transducer in his study.
Michael F. Insana is involved in the study of Acoustics that focuses on Elastography in particular.
Michael F. Insana regularly ties together related areas like Pathology in his Ultrasound studies.
He most often published in these fields:
- Ultrasonic sensor (28.87%)
- Artificial intelligence (25.89%)
- Optics (24.11%)
What were the highlights of his more recent work (between 2013-2021)?
- Biomedical engineering (18.15%)
- Ultrasonic sensor (28.87%)
- Ultrasound (20.54%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Biomedical engineering, Ultrasonic sensor, Ultrasound, Viscoelasticity and Artificial intelligence.
His Biomedical engineering research incorporates themes from Blood flow and Perfusion.
His Ultrasonic sensor study combines topics from a wide range of disciplines, such as Demodulation, Breast lesion and Matched filter.
His Ultrasound research includes themes of Algorithm and Cancer.
The Artificial intelligence study combines topics in areas such as Ultrasonic imaging, Computer vision and Pattern recognition.
His study in Echo is interdisciplinary in nature, drawing from both Peripheral perfusion and Optics.
Between 2013 and 2021, his most popular works were:
- An information-based machine learning approach to elasticity imaging (21 citations)
- Expanding Acquisition and Clutter Filter Dimensions for Improved Perfusion Sensitivity (17 citations)
- Modeling Ramp-hold Indentation Measurements based on Kelvin-Voigt Fractional Derivative Model. (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Optics
Viscoelasticity, Indentation, Elastic modulus, Fractional calculus and Elasticity are his primary areas of study.
His Viscoelasticity research includes elements of Human breast, Ultrasound imaging, Surface stress, Creep and Numerical analysis.
He interconnects Relaxation, Mathematical optimization, Shear modulus and Dissipation in the investigation of issues within Elastic modulus.
His Elasticity study incorporates themes from Breast cancer and Constitutive equation.
He focuses mostly in the field of Mechanics, narrowing it down to topics relating to Standard deviation and, in certain cases, Optics.
In his research on the topic of Optics, Ultrasonic sensor and Artificial intelligence is strongly related with Filter.
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