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Adarsh Krishnamurthy

Researcher at Iowa State University

Publications -  96
Citations -  1303

Adarsh Krishnamurthy is an academic researcher from Iowa State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 15, co-authored 82 publications receiving 958 citations. Previous affiliations of Adarsh Krishnamurthy include Indian Institute of Technology Madras & University of California.

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Patient-specific models of cardiac biomechanics

TL;DR: New methods for creating three-dimensional patient-specific models of ventricular biomechanics in the failing heart showed good agreement with measured echocardiographic and global functional parameters such as ejection fraction and peak cavity pressures.
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Patient-specific modeling of dyssynchronous heart failure: a case study.

TL;DR: Some of the remaining challenges in developing reliable patient-specific models of cardiac electromechanical activity are discussed, and some of the main areas for focusing future research efforts are identified.
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Direct immersogeometric fluid flow analysis using B-rep CAD models

TL;DR: A new method for immersogeometric fluid flow analysis that directly uses the CAD boundary representation (B-rep) of a complex object and immerses it into a locally refined, non-boundary-fitted discretization of the fluid domain and demonstrates the effectiveness of the method for high-fidelity industrial scale simulations.
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A framework for parametric design optimization using isogeometric analysis

TL;DR: A novel approach that employs IGA methodologies while still rigorously abiding by the paradigms of advanced design parameterization, analysis model validity, and interactivity is proposed, demonstrating the framework’s effectiveness on both an internally pressurized tube and a wind turbine blade.
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Learning localized features in 3D CAD models for manufacturability analysis of drilled holes

TL;DR: A 3D-CNN based gradient-weighted class activation mapping (3D-GradCAM) method that can provide visual explanations of the local geometric features of interest within an object is developed.