What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Magnetic resonance imaging
- Mechanical engineering
Finite element method, Constitutive equation, Viscoelasticity, Brain tissue and Compression are his primary areas of study.
His work carried out in the field of Finite element method brings together such families of science as Image processing, Deformation, Nonlinear system and Algorithm, Computation.
His research in Constitutive equation focuses on subjects like Deformation, which are connected to Stress dependence and Liver tissue.
His Viscoelasticity study combines topics from a wide range of disciplines, such as Surgical procedures, Biomedical engineering and Elastic modulus.
In his study, which falls under the umbrella issue of Brain tissue, Indentation is strongly linked to Displacement.
The Compression study combines topics in areas such as Biomechanics, Mechanical engineering, Plane symmetry, Soft tissue and Mechanics.
His most cited work include:
- Mechanical properties of brain tissue in tension (496 citations)
- CONSTITUTIVE MODELLING OF BRAIN TISSUE: EXPERIMENT AND THEORY (439 citations)
- Mechanical properties of brain tissue in-vivo: experiment and computer simulation (429 citations)
What are the main themes of his work throughout his whole career to date?
Karol Miller focuses on Finite element method, Biomedical engineering, Artificial intelligence, Computation and Algorithm.
Karol Miller is interested in Meshfree methods, which is a field of Finite element method.
His Biomedical engineering research incorporates elements of Confocal, Brain tissue, Biomechanics, Soft tissue and Viscoelasticity.
His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like Deformation and Biomechanical model.
His Computation research is multidisciplinary, incorporating perspectives in Elasticity and Hexahedron.
His Boundary value problem study integrates concerns from other disciplines, such as Galerkin method, Applied mathematics and Constitutive equation.
He most often published in these fields:
- Finite element method (39.78%)
- Biomedical engineering (13.62%)
- Artificial intelligence (15.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Finite element method (39.78%)
- Applied mathematics (11.83%)
- Boundary value problem (15.77%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Finite element method, Applied mathematics, Boundary value problem, Discretization and Computation.
He studies Finite element method, namely Meshfree methods.
His Applied mathematics study which covers Weight function that intersects with Kronecker delta, Galerkin method and Elasticity.
His research in Discretization intersects with topics in Cartesian coordinate system, Compressibility and Computational science.
His Computation research includes themes of Stability, Computational mechanics and Spatial reference system.
Artificial intelligence and Biomechanics is closely connected to Surgical simulation in his research, which is encompassed under the umbrella topic of Image segmentation.
Between 2018 and 2021, his most popular works were:
- Biomechanical modeling and computer simulation of the brain during neurosurgery. (8 citations)
- Biomechanical Assessment Predicts Aneurysm Related Events in Patients with Abdominal Aortic Aneurysm. (5 citations)
- Prediction of pedestrian brain injury due to vehicle impact using computational biomechanics models: Are head-only models sufficient? (5 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Internal medicine
His primary scientific interests are in Discretization, Magnetohydrodynamics, Cartesian coordinate system, Compressibility and Mechanics.
His study in Discretization is interdisciplinary in nature, drawing from both Continuum mechanics, Image warping, Computational science and Nonlinear system.
His study in the fields of Hartmann number under the domain of Magnetohydrodynamics overlaps with other disciplines such as Laminar flow, Duct, Mathematical analysis and Natural convection flow.
His Cartesian coordinate system research includes elements of Weight function, Gershgorin circle theorem, Cylinder, Navier–Stokes equations and Solver.
He frequently studies issues relating to Applied mathematics and Compressibility.
His Mechanics research integrates issues from Fin and Thrust.
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