What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Magnetic resonance imaging
- Radiology
His primary areas of study are Elastography, Magnetic resonance elastography, Stiffness, Radiology and Magnetic resonance imaging.
Many of his research projects under Elastography are closely connected to Excitation with Excitation, tying the diverse disciplines of science together.
His Magnetic resonance elastography study combines topics from a wide range of disciplines, such as Displacement, Nuclear magnetic resonance, Biomedical engineering and Pathology.
In his study, Viscoelasticity and Sexual dimorphism is strongly linked to Anatomy, which falls under the umbrella field of Stiffness.
His Radiology study incorporates themes from Liver disease, Breast cancer, Mammography and Receiver operating characteristic.
His White matter study in the realm of Magnetic resonance imaging interacts with subjects such as Cerebrum.
His most cited work include:
- Magnetic resonance elastography by direct visualization of propagating acoustic strain waves (1641 citations)
- Magnetic resonance elastography: Non-invasive mapping of tissue elasticity (858 citations)
- Assessment of Hepatic Fibrosis With Magnetic Resonance Elastography (716 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Magnetic resonance elastography, Computer vision, Elastography and Magnetic resonance imaging.
He has included themes like Stiffness, Elasticity Imaging Techniques, Shear waves, Shear modulus and Biomedical engineering in his Magnetic resonance elastography study.
His work carried out in the field of Computer vision brings together such families of science as Medical imaging and Autocorrection.
His research in Elastography intersects with topics in Elasticity, Imaging phantom and Nuclear magnetic resonance.
He interconnects Cardiology, Pathology, Internal medicine and Palpation in the investigation of issues within Magnetic resonance imaging.
His Iterative reconstruction research includes themes of Image processing and Algorithm, Compressed sensing.
He most often published in these fields:
- Artificial intelligence (30.40%)
- Magnetic resonance elastography (27.66%)
- Computer vision (26.14%)
What were the highlights of his more recent work (between 2015-2021)?
- Elastography (24.32%)
- Magnetic resonance elastography (27.66%)
- Magnetic resonance imaging (17.93%)
In recent papers he was focusing on the following fields of study:
Armando Manduca mainly investigates Elastography, Magnetic resonance elastography, Magnetic resonance imaging, Biomedical engineering and Ultrasound.
His Elastography research is classified as research in Radiology.
His Magnetic resonance elastography research is multidisciplinary, incorporating elements of Wave propagation, Nuclear medicine, Liver fibrosis, Stiffness and Shear modulus.
His research in Magnetic resonance imaging intersects with topics in Hydrocephalus, Cardiology, Pathology, Internal medicine and Dementia.
His Biomedical engineering research includes elements of Image resolution, Microbubbles, Nuclear magnetic resonance and Superresolution.
His Imaging phantom study incorporates themes from Acoustics, Shear waves and Filter.
Between 2015 and 2021, his most popular works were:
- Hepatic MR Elastography: Clinical Performance in a Series of 1377 Consecutive Examinations (151 citations)
- Ultrasound Small Vessel Imaging With Block-Wise Adaptive Local Clutter Filtering (90 citations)
- Regional brain stiffness changes across the Alzheimer's disease spectrum (84 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Magnetic resonance imaging
Elastography, Magnetic resonance elastography, Magnetic resonance imaging, Elasticity Imaging Techniques and Stiffness are his primary areas of study.
His Elastography research is multidisciplinary, relying on both Slip, Imaging phantom and Internal medicine.
The Magnetic resonance elastography study combines topics in areas such as Smoothing, Surgery, Meningioma, Artificial neural network and Nuclear medicine.
The various areas that he examines in his Magnetic resonance imaging study include Fibrosis, Pathology, Hydroxyproline and Hepatitis.
His Stiffness research integrates issues from Fibrosis stage, Repeatability, Biological system, Nuclear magnetic resonance and Biomedical engineering.
Armando Manduca interconnects Image processing and Artificial intelligence in the investigation of issues within Elasticity.
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