S
Stephane Carlier
Researcher at University of Mons
Publications - 219
Citations - 7932
Stephane Carlier is an academic researcher from University of Mons. The author has contributed to research in topics: Intravascular ultrasound & Stent. The author has an hindex of 45, co-authored 218 publications receiving 7454 citations. Previous affiliations of Stephane Carlier include Columbia University & Rotterdam University of Applied Sciences.
Papers
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Journal ArticleDOI
Morphological and mechanical information of coronary arteries obtained with intravascular elastography; feasibility study in vivo.
C.L. de Korte,Stephane Carlier,Frits Mastik,Marvin M. Doyley,A.F.W. van der Steen,P. W. Serruys,N. Bom +6 more
TL;DR: In vivo intravascular elastography is feasible during interventional catheterization procedures, and significantly higher strain values were found in non-calcified plaques than in calcifying plaques.
Journal ArticleDOI
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images
TL;DR: A shape-driven approach to segmentation of the arterial wall from intravascular ultrasound images in the rectangular domain is presented, which constrain the lumen and media-adventitia contours to a smooth, closed geometry, which increases the segmentation quality without any tradeoff with a regularizer term.
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A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images
TL;DR: Recently developed image processing methods for the detection of media-adventitia and luminal borders in IVUS images acquired with different transducers operating at frequencies ranging from 20 to 45 MHz are reviewed.
Journal ArticleDOI
Characterisation of atherosclerotic plaque by spectral similarity of radiofrequency intravascular ultrasound signals
TL;DR: Ex vivo validation demonstrated the ability to characterise plaque tissue using an IVUS+RF system and a method incorporating full spectral information, spectral similarity, estimating confidence of characterisation and, ability toCharacterise plaque imaged through blood.
Journal ArticleDOI
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
Simone Balocco,Carlo Gatta,Francesco Ciompi,Andreas Wahle,Petia Radeva,Stephane Carlier,Gozde Unal,Elias Sanidas,Josepa Mauri,Xavier Carillo,Tomas Kovarnik,Ching-Wei Wang,Hsiang-Chou Chen,Themis P. Exarchos,Dimitrios I. Fotiadis,François Destrempes,Guy Cloutier,Oriol Pujol,Marina Alberti,E. Gerardo Mendizabal-Ruiz,Mariano Rivera,Timur Aksoy,Richard W. Downe,Ioannis A. Kakadiaris +23 more
TL;DR: The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation.