Work

A physics-informed deep learning framework for modeling of coronary in-stent restenosis

Year: 2024

Type: article

Source: Biomechanics and Modeling in Mechanobiology

Authors: Jianye Shi, Kiran Manjunatha, Marek Behr, Felix Vogt, Stefanie Reese

Institution: RWTH Aachen University

Language: English

Topic: Coronary Interventions and Diagnostics

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

Awards: InStentRestenose in koronaren Arterien In silicoUntersuchungen basierend auf patientenspezifischen Daten und Metamodellierung, Medikamente freisetzende Koronarstents in stenotischen Arterien: medizinische Untersuchung und numerische Modellierung

OpenAlex ID: W4390984863

FWCI: 1.91

Cites: 34

Cited by: 5

Related to: 10