Výsledky vyhledávání - "Hugo Gangloff"

Co-Registration of Peripheral Atherosclerotic Plaques Assessed by Conventional CT Angiography, MicroCT and Histology in Patients with Chronic Limb Threatening Ischaemia

Autor: Mickaël Ohana, Nabil Chakfe, Atsushi Sakamoto, Adeline Schwein, Hiroyuki Jinnouchi, Aloke V. Finn, Sho Torii, Renu Virmani, Anne Cornelissen, Anne Lejay, Hugo Gangloff, Matthew Kutyna, Yu Sato, Salomé Kuntz, Daniela T. Fuller

Publikováno v: European Journal of Vascular and Endovascular Surgery
European Journal of Vascular and Endovascular Surgery, 2021, 60 (1), pp.146-154. ⟨10.1016/j.ejvs.2020.08.037⟩
European Journal of Vascular and Endovascular Surgery, Elsevier, 2021, 60 (1), pp.146-154. ⟨10.1016/j.ejvs.2020.08.037⟩

To co-register conventional computed tomography angiography (CTA), with ex vivo micro-computed tomography (microCT) and histology of popliteal atherosclerotic plaques. Improving the non-invasive imaging capabilities may be valuable to advance patient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d83f900e96f9816911272a989400e8f
https://doi.org/10.1016/j.ejvs.2020.08.037

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Unsupervised Image Segmentation with Spatial Triplet Markov Trees

Autor: Christophe Collet, Hugo Gangloff, Emmanuel Monfrini, Jean-Baptiste Courbot

Publikováno v: ICASSP

Hidden Markov Trees (HMTs) are successful probabilistic models [1] [2] [3] in image segmentation or genetic analysis for example. They offer a good compromise between the random variables that can be modeled and the tractability of the inference with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28689dc46f0aa9226832a8db268066bd
https://doi.org/10.1109/icassp39728.2021.9414435

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Unsupervised image segmentation with Gaussian Pairwise Markov Fields

Autor: Emmanuel Monfrini, Christophe Collet, Jean-Baptiste Courbot, Hugo Gangloff

Publikováno v: Computational Statistics and Data Analysis
Computational Statistics and Data Analysis, Elsevier, In press, pp.107178:1-107178:20. ⟨10.1016/j.csda.2021.107178⟩
Computational Statistics and Data Analysis, 2021, 158, pp.107178:1-107178:20. ⟨10.1016/j.csda.2021.107178⟩

International audience; Modeling strongly correlated random variables is a critical task in the context of latent variable models. A new probabilistic model, called Gaussian Pairwise Markov Field, is presented to generalize existing Markov Fields lat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af94a16ee6b48322a31eefcd0be76edf
https://hal.archives-ouvertes.fr/hal-03104832/document

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A GENERAL PARAMETRIZATION FRAMEWORK FOR PAIRWISE MARKOV MODELS: AN APPLICATION TO UNSUPERVISED IMAGE SEGMENTATION

Autor: Katherine Morales, Yohan Petetin, Hugo Gangloff

Publikováno v: MLSP

Probabilistic graphical models such as Hidden Markov models have found many applications in signal processing. In this paper, we focus on a particular extension of these models, the Pairwise Markov models. We propose a general parametrization of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df53f4d4297ffba5b649c59ec0bda330
https://hal.archives-ouvertes.fr/hal-03181237

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Improved centerline tracking for new descriptors of atherosclerotic aortas

Autor: Hugo Gangloff, Mohamed Zied Ghariani, Emmanuel Monfrini, Christophe Collet, Mickaël Ohana, Nabil Chakfe

Publikováno v: 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications
IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications, Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286688⟩
IPTA
International Conference on Image Processing Theory, Tools and Applications
International Conference on Image Processing Theory, Tools and Applications, 2020, Paris, France

International audience; To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical researc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53371f8a2915ae2c7c60bcc11c6dd2b8
https://hal.science/hal-03122420/document

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Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images

Autor: Christophe Collet, Nabil Chakfe, Hugo Gangloff, Emmanuel Monfrini

Publikováno v: 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications
IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications, Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286660⟩
International Conference on Image Processing Theory, Tools and Applications
International Conference on Image Processing Theory, Tools and Applications, 2020, Paris, France
IPTA

International audience; We propose a new methodology for the segmentation of stents in 3D X-ray acquisitions. Such data are often corrupted by strong artifacts around the stent, requiring the development of a robust algorithm: because of the medical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d414510f829782f935ba6c54017cae33
https://hal.archives-ouvertes.fr/hal-03122418

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Automated Histological Segmentation on Micro Computed Tomography Images of Atherosclerotic Arteries

Autor: Salomé Kuntz, Anne Lejay, Hugo Gangloff, Hanane Naamoune, Nabil Chakfe, Renu Virmani

Publikováno v: European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery. 61(4)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98572384c701fb1fc12471fc375f487b
https://pubmed.ncbi.nlm.nih.gov/33589329

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Assessing the segmentation performance of pairwise and triplet Markov models

Autor: Ivan Gorynin, Emmanuel Monfrini, Hugo Gangloff, Wojciech Pieczynski

Publikováno v: Signal Processing
Signal Processing, Elsevier, 2018, 145, pp.183-192. ⟨10.1016/j.sigpro.2017.12.006⟩

International audience; The hidden Markov models (HMMs) are state-space models widely applied in time series analysis. Well-known Bayesian state estimation methods designed for HMMs, such as the Baum-Welch algorithm and the Viterbi algorithm, allow s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5a50197b48d3acfe50baa7ff0d71551
https://doi.org/10.1016/j.sigpro.2017.12.006

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Correlation between the clinical scanner, the micro-scanner and the histopathology of popliteal arteries in critical ischemia

Autor: Hiroyuki Jinnouchi, Renu Virmani, Anne Cornelissen, Hugo Gangloff, Atsushi Sakamoto, Daniela T. Fuller, Sho Torii, Nabil Chakfe, Anne Lejay, Matthew Kutyna, Adeline Schwein, Mickaël Ohana, Aloke V. Finn, Salomé Kuntz, Yu Satoh

Publikováno v: Annals of Vascular Surgery. 68:119-120

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df2eecfd4643f4b06e2931c08d853f01
https://doi.org/10.1016/j.avsg.2020.08.056

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