Biomechanical Rupture Risk Assessment: A Consistent and Objective Decision-Making Tool for Abdominal Aortic Aneurysm Patients
about
A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.Growth Description for Vessel Wall Adaptation: A Thick-Walled Mixture Model of Abdominal Aortic Aneurysm Evolution.Biomechanical changes during abdominal aortic aneurysm growth.
P2860
Biomechanical Rupture Risk Assessment: A Consistent and Objective Decision-Making Tool for Abdominal Aortic Aneurysm Patients
description
2016 nî lūn-bûn
@nan
2016 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@ast
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@en
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@nl
type
label
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@ast
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@en
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@nl
prefLabel
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@ast
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@en
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@nl
P2860
P1476
Biomechanical Rupture Risk Ass ...... minal Aortic Aneurysm Patients
@en
P2093
T. Christian Gasser
P2860
P356
10.12945/J.AORTA.2015.15.030
P407
P577
2016-04-01T00:00:00Z