Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Burdin, Valérie"'
Autor:
Guezou-Philippe, Aziliz, Clavé, Arnaud, Maguet, Ehouarn, Maintier, Ludivine, Garraud, Charles, Fouefack, Jean-Rassaire, Burdin, Valérie, Stindel, Eric, Dardenne, Guillaume
Arthroplasty is commonly performed to treat joint osteoarthritis, reducing pain and improving mobility. While arthroplasty has known several technical improvements, a significant share of patients are still unsatisfied with their surgery. Personalise
Externí odkaz:
http://arxiv.org/abs/2403.15353
We propose here a proof of existence of a minimizer of a segmentation functional based on a priori information on target shapes, and formulated with level sets. The existence of a minimizer is very important, because it guarantees the convergence of
Externí odkaz:
http://arxiv.org/abs/2210.12773
Autor:
Boutillon, Arnaud, Conze, Pierre-Henri, Pons, Christelle, Burdin, Valérie, Borotikar, Bhushan
Clinical diagnosis of the pediatric musculoskeletal system relies on the analysis of medical imaging examinations. In the medical image processing pipeline, semantic segmentation using deep learning algorithms enables an automatic generation of patie
Externí odkaz:
http://arxiv.org/abs/2207.13502
Statistical shape models (SSMs) are a popular tool to conduct morphological analysis of anatomical structures which is a crucial step in clinical practices. However, shape representations through SSMs are based on shape coefficients and lack an expli
Externí odkaz:
http://arxiv.org/abs/2202.08580
Autor:
Fouefack, Jean-Rassaire, Borotikar, Bhushan, Lüthi, Marcel, Douglas, Tania S., Burdin, Valérie, Mutsvangwa, Tinashe E. M.
In model-based medical image analysis, three features of interest are the shape of structures of interest, their relative pose, and image intensity profiles representative of some physical property. Often, these are modelled separately through statis
Externí odkaz:
http://arxiv.org/abs/2112.04495
In this study, we investigated a method allowing the determination of the femur bone surface as well as its mechanical axis from some easy-to-identify bony landmarks. The reconstruction of the whole femur is therefore performed from these landmarks u
Externí odkaz:
http://arxiv.org/abs/2107.03292
Autor:
Boutillon, Arnaud, Conze, Pierre-Henri, Pons, Christelle, Burdin, Valérie, Borotikar, Bhushan
Automatic segmentation of magnetic resonance (MR) images is crucial for morphological evaluation of the pediatric musculoskeletal system in clinical practice. However, the accuracy and generalization performance of individual segmentation models are
Externí odkaz:
http://arxiv.org/abs/2105.10310
Autor:
Boutillon, Arnaud, Borotikar, Bhushan, Pons, Christelle, Burdin, Valérie, Conze, Pierre-Henri
Automatic segmentation of the musculoskeletal system in pediatric magnetic resonance (MR) images is a challenging but crucial task for morphological evaluation in clinical practice. We propose a deep learning-based regularized segmentation method for
Externí odkaz:
http://arxiv.org/abs/2101.10173
Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical practice. However, most segmentation models do not perform well on scarce pediatric imaging data. We propose a new pre-trained regularized convolutiona
Externí odkaz:
http://arxiv.org/abs/2009.07092
Autor:
Fouefack, Jean-Rassaire, Borotikar, Bhushan, Douglas, Tania S., Burdin, Valérie, Mutsvangwa, Tinashe E. M.
Statistical shape models (SSMs) are state-of-the-art medical image analysis tools for extracting and explaining features across a set of biological structures. However, a principled and robust way to combine shape and pose features has been illusive
Externí odkaz:
http://arxiv.org/abs/2001.07904