Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

@inproceedings{pub15890,
    author = {

Balada, Christoph Peter
 and 

Romano-Martinez, Aida
 and 

Cate, Vincent ten
 and 

Geschke, Katharina
 and 

Tesarz, Jonas
 and 

Claßen, Paul
 and 

Schuster, Alexander K
 and 

Tibyampansha, Dativa
 and 

Kresoja, Karl-Patrik
 and 

Wild, Philipp S
 and 

others,
},
    title = {Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage},
    booktitle = {Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025)},
    series = {LNCS},
    year = {2025},
    publisher = {Springer Nature}
}