Work

Towards a lightweight deep learning framework for wall shear stress prediction of abdominal aortic aneurysms: leveraging three dimensional morphological information

Year: 2026

Type: article

Source: Computers & Mathematics with Applications

DOI: 10.1016/j.camwa.2026.08.016

Authors: Xuhui Ding, Yunzhu Xian, Mengyao Duan, Boyan Mao, Yuting Guo, Gaoyang Li

Institutions: Beijing Institute of Technology, Beijing University of Chinese Medicine, Kyoto University, Beihang University, Ministry of Industry and Information Technology

Language: English

Topic: Aortic aneurysm repair treatments

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Natural Science Foundation of Shandong Province, National University's Basic Research Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Awards: G4383649556, G4454274476, G5729543048, G6391056131, G6904357265, G6999758519, G7222435671, G7476188536

OpenAlex ID: W7204167886

FWCI:

Cites: 64

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