Work

Autoencoder-Based Architecture for Parameter Estimation of a Tumor Model

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Computational Intelligence and Informatics (CINTI)

DOI: 10.1109/cinti63048.2024.10830847

Authors: Lilla Kisbenedek, Melánia Puskás, Dániel András Drexler, Levente Kovács

Institution: Obuda University

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

Award: G3703005065

OpenAlex ID: W4406322858

FWCI: 8.904

Cites: 20

Cited by: 4

Related to: 10