activity
20202024
most citedA multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2024★ 2 cited

In-silico Analysis of Hemodynamic Indicators in Idealized Stented Coronary Arteries for Varying Stent Indentation

Anna Ranno, Kiran Manjunatha, Anne Glitz +4

In this work, we investigate the effects of stent indentation on hemodynamic indicators in stented coronary arteries. Our aim is to assess in-silico risk factors for in-stent reste…

physics.bio-ph2024★ 1 cited

In silico reproduction of the pathophysiology of in-stent restenosis

Kiran Manjunatha, Anna Ranno, Jianye Shi +6

The occurrence of in-stent restenosis following percutaneous coronary intervention highlights the need for the creation of computational tools that can extract pathophysiological i…

cs.CE2023

Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation

Kiran Manjunatha, Nicole Schaaps, Marek Behr +2

Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting stents warrants the development of highly resolved in silico models. These computational mo…

cs.CE2022★ 2 cited

A multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation

Kiran Manjunatha, Marek Behr, Felix Vogt +1

Development of in silico models are intrinsic in understanding disease progression in soft biological tissues. Within this work, we propose a fully-coupled Lagrangian finite elemen…

cs.CE2020

Finite element modelling of in-stent restenosis

Kiran Manjunatha, Marek Behr, Felix Vogt +1

From the perspective of coronary heart disease, the development of stents has come significantly far in reducing the associated mortality rate, drug-eluting stents being the epitom…