Pascal Haigron
Overview
Explore the profile of Pascal Haigron including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
67
Citations
407
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Fluid-structure-growth modeling in ascending aortic aneurysm: capability to reproduce a patient case
Yan K, Ye W, Martinez A, Geronzi L, Escrig P, Tomasi J, et al.
Biomech Model Mechanobiol
. 2025 Jan;
PMID: 39760773
Predicting the evolution of ascending aortic aneurysm (AscAA) growth is a challenge, complicated by the intricate interplay of aortic geometry, tissue behavior, and blood flow dynamics. We investigate a flow-structural...
2.
Ma Q, Kaladji A, Shu H, Yang G, Lucas A, Haigron P
Med Image Anal
. 2024 Nov;
99:103378.
PMID: 39500029
Deep learning-based automated segmentation of vascular structures in preoperative CT angiography (CTA) images contributes to computer-assisted diagnosis and interventions. While CTA is the common standard, non-contrast CT imaging has the...
3.
de La Bourdonnaye C, Castro M, Joly C, Haigron P, Verhoye J, Anselmi A
Braz J Cardiovasc Surg
. 2024 May;
39(4):e20230237.
PMID: 38748975
Transcatheter mitral valve-in-valve is an alternative to high-risk reoperation on a failing bioprosthesis. It entails specific challenges such as left ventricular outflow tract obstruction. We propose a patient-specific augmented imaging...
4.
de Turenne A, Eugene F, Blanc R, Szewczyk J, Haigron P
Int J Comput Assist Radiol Surg
. 2023 Nov;
19(3):459-468.
PMID: 37964153
Purpose: The fusion of pre-operative imaging and intra-operative fluoroscopy may support physicians during mechanical thrombectomy for catheter navigation from the aortic arch to carotids. Nevertheless, the aortic arch volume is...
5.
Geronzi L, Martinez A, Rochette M, Yan K, Bel-Brunon A, Haigron P, et al.
Comput Biol Med
. 2023 Jun;
162:107052.
PMID: 37263151
Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to predict the ascending...
6.
Geronzi L, Haigron P, Martinez A, Yan K, Rochette M, Bel-Brunon A, et al.
Front Physiol
. 2023 Mar;
14:1125931.
PMID: 36950300
The current guidelines for the ascending aortic aneurysm (AsAA) treatment recommend surgery mainly according to the maximum diameter assessment. This criterion has already proven to be often inefficient in identifying...
7.
Ma Q, Lucas A, Hammami H, Shu H, Kaladji A, Haigron P
J Med Imaging (Bellingham)
. 2023 Mar;
10(2):024001.
PMID: 36875637
Purpose: Segmentation of vascular structures in preoperative computed tomography (CT) is a preliminary step for computer-assisted endovascular navigation. It is a challenging issue when contrast medium enhancement is reduced or...
8.
Helou B, Bel-Brunon A, Dupont C, Ye W, Silvestro C, Rochette M, et al.
Int J Numer Method Biomed Eng
. 2023 Jan;
39(3):e3685.
PMID: 36645263
The purpose of this work is to present a patient-specific (PS) modeling approach for simulating percutaneous transluminal angioplasty (PTA) endovascular treatment and assessing the balloon sizing influence on short-term outcomes...
9.
de Turenne A, Szewczyk J, Eugene F, Le Bras A, Blanc R, Haigron P
Annu Int Conf IEEE Eng Med Biol Soc
. 2021 Dec;
2021:1765-1769.
PMID: 34891629
Endovascular interventions are experiencing an important development. Despite many advantages of this type of intervention, catheter navigation is still a cause of difficulties or failure. Mechanical thrombectomy is one of...
10.
Sharobeem S, le Breton H, Lalys F, Lederlin M, Lagorce C, Bedossa M, et al.
J Cardiovasc Transl Res
. 2021 Aug;
15(2):427-437.
PMID: 34448116
The aim of this study is to develop an automated deep-learning-based whole heart segmentation of ECG-gated computed tomography data. After 21 exclusions, CT acquired before transcatheter aortic valve implantation in...