Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Sherif Makram-Ebeid"'
Publikováno v:
Digital Signal Processing
Digital Signal Processing, Elsevier, 2014, 27, pp.107-118. ⟨10.1016/j.dsp.2014.01.007⟩
Digital Signal Processing, Elsevier, 2014, 27, pp.107-118. ⟨10.1016/j.dsp.2014.01.007⟩
International audience; In this paper we propose to solve a range of computational imaging problems under a unified perspective of a regularized weighted least-squares (RWLS) framework. These problems include data smoothing and completion, edge-prese
Autor:
Sherif Makram-Ebeid, Benoit Mory
Publikováno v:
International Journal of Computer Vision. 64:125-141
The Hermite transform allows to locally approximate an image by a linear combination of polynomials. For a given scale ? and position ?, the polynomial coefficients are closely related to the differential jet (set of partial derivatives of the blurre
Autor:
Pascal Allain, Alain Manrique, Olivier Bernard, Yitian Zhou, Mathieu De Craene, Eric Saloux, Sherif Makram-Ebeid
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
Medical Image Analysis, Elsevier, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
Medical Image Analysis, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
Medical Image Analysis, Elsevier, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
International audience; This paper presents a novel algorithm that extends HARP to handle 3D tagged MRI images. HARP results were regularized by an original regularization framework defined in an anatomical space of coordinates. In the meantime, myoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8085d42bfedb6a49789063a7ca17a14b
https://hal.science/hal-01272377
https://hal.science/hal-01272377
Publikováno v:
CARS
Despite its tremendous advantages, magnetic resonance tagging remains unserviceable in clinical conditions due to very tedious image pre-processing tasks. We present here a novel algorithm, fully automatic, real-time and extremely accurate, to perfor
Autor:
Pascal Allain, Cecile Dufour, Sherif Makram-Ebeid, Mathieu De Craene, Eric Saloux, Benoit Mory, Nicolas Villain, Oudom Somphone, Loic Hilpert
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783642369605
STACOM
Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012
Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Oct 2012, Nice, France. pp.151-158, ⟨10.1007/978-3-642-36961-2_18⟩
STACOM
Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012
Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Oct 2012, Nice, France. pp.151-158, ⟨10.1007/978-3-642-36961-2_18⟩
International audience; This paper describes an algorithm for motion and deforma- tion quanti cation of 3D cardiac ultrasound sequences. The algorithm is based on the assumption that the deformation eld is smooth inside the myocardium. Thus, we assum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72152a13a803f95e3a00973ffda00bb6
https://doi.org/10.1007/978-3-642-36961-2_18
https://doi.org/10.1007/978-3-642-36961-2_18
Autor:
Elsa D. Angelini, Sherif Makram-Ebeid, Isabelle Bloch, Raphael Prevost, Guillaume Julien Joseph Pizaine
Publikováno v:
ISBI
Gradient Vector Flow has become a popular method to recover medial information in medical imaging, in particular for vessels centerline extraction. This renewed interest has been motivated by its ability to process gray-scale images without prior seg
Autor:
Eric Saloux, Sherif Makram-Ebeid, Adityo Prakosa, Pascal Allain, Mathieu De Craene, Nicolas Villain, Oudom Somphone, Jan D'hooge, Stephanie Marchesseau, Hang Gao, Alain Manrique, Maxime Sermesant, Loic Hilpert, Hervé Delingette
Publikováno v:
MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12)
MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), 2012, Nice, France. pp.125--133, ⟨10.1007/978-3-642-36961-2_15⟩
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783642369605
STACOM
MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), 2012, Nice, France. pp.125--133, ⟨10.1007/978-3-642-36961-2_15⟩
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783642369605
STACOM
International audience; This paper describes the data setup of the second cardiac Motion Analysis Challenge (cMac2). The purpose of this challenge is to initiate a public data repository for the benchmark of motion and strain quantification algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac92c8535d78c91d35ce9e4419a86899
https://hal.inria.fr/hal-00840040
https://hal.inria.fr/hal-00840040
Publikováno v:
Medical Imaging: Image Processing
Proceedings of the International Society for Optical Engineering (SPIE) Medical Imaging 2011
SPIE Medical Imaging 2011: Image Processing
SPIE Medical Imaging 2011: Image Processing, Feb 2011, Orlando, FL, United States. pp.79623D, ⟨10.1117/12.878126⟩
Proceedings of the International Society for Optical Engineering (SPIE) Medical Imaging 2011
SPIE Medical Imaging 2011: Image Processing
SPIE Medical Imaging 2011: Image Processing, Feb 2011, Orlando, FL, United States. pp.79623D, ⟨10.1117/12.878126⟩
International audience; We propose a variational approach which combines automatic segmentation and medial structure extraction in a single computationally efficient algorithm. In this paper, we apply our approach to the analysis of vessels in 2D X-r
Publikováno v:
ISBI
Proceedings of the 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Mar 2011, Chicago, Illinois, United States. pp.1421-1424, ⟨10.1109/ISBI.2011.5872666⟩
Proceedings of the 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Mar 2011, Chicago, Illinois, United States. pp.1421-1424, ⟨10.1109/ISBI.2011.5872666⟩
International audience; In the context of vessel tree structures segmentation with implicit deformable models, we propose to exploit convolution surfaces to introduce a novel variational formulation, robust to bifurcations, tangential vessels and ane
Publikováno v:
Proceedings of the International Society for Optical Engineering (SPIE) Medical Imaging 2011
SPIE Medical Imaging 2011: Image Processing
SPIE Medical Imaging 2011: Image Processing, Feb 2011, Orlando, FL, United States. pp.79623Q, ⟨10.1117/12.878048⟩
Medical Imaging: Image Processing
SPIE Medical Imaging 2011: Image Processing
SPIE Medical Imaging 2011: Image Processing, Feb 2011, Orlando, FL, United States. pp.79623Q, ⟨10.1117/12.878048⟩
Medical Imaging: Image Processing
International audience; In the context of mathematical modeling of complex vessel tree structures with deformable models, we present a novel level set formulation to evolve both the vessel surface and its centerline. The implicit function is computed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10a7055d989013b4d7013dedfc908a96
https://hal.archives-ouvertes.fr/hal-00594709/document
https://hal.archives-ouvertes.fr/hal-00594709/document