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еНаука >  Резултати >  Cardiac Segmentation Using UNETR: A Transformer Based Deep Learning Approach on the ACDC Dataset
Title: Cardiac Segmentation Using UNETR: A Transformer Based Deep Learning Approach on the ACDC Dataset
Authors: Geroski, Tijana  ; Pavic, Ognjen  ; Dasic, Lazar  ; Amini, Amir; Filipovic, Nenad  
Issue Date: 2025
Publication: APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI
ISSN: 2367-3370 Search Idenfier
Type: Conference Paper
Collation: vol. 1446 str. 371-385
DOI: 10.1007/978-3-031-99201-8_35
WoS-ID: 001604010100034
Scopus-ID: 2-s2.0-105011955690
URI: https://enauka.gov.rs/handle/123456789/1016524
https://scidar.kg.ac.rs/handle/123456789/22893
Project: European Union's Horizon Europe research and innovation programme [101080905]
Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200107, 451-03-66/2024-03/200378]
Fulbright U.S. Visiting Scholar Program [2024-2025]
U.S. Department of State
Bioimaging Endowment of Medical Imaging Lab of the University of Louisville
Metadata source: (Preuzeto iz Nasi u WoS)
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