Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Noëlie Debs"'
1
Akademický článek
Impact of the reperfusion status for predicting the final stroke infarct using deep learning
Autor: Noëlie Debs, Tae-Hee Cho, David Rousseau, Yves Berthezène, Marielle Buisson, Omer Eker, Laura Mechtouff, Norbert Nighoghossian, Michel Ovize, Carole Frindel
Publikováno v: NeuroImage: Clinical, Vol 29, Iss , Pp 102548- (2021)
Background: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and
Externí odkaz: https://doaj.org/article/9ccae0ec7b84422b856cf402b8cf93fe
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2
Akademický článek
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review
Autor: Théo Jourdan, Noëlie Debs, Carole Frindel
Publikováno v: Sensors, Vol 21, Iss 14, p 4808 (2021)
Gait, balance, and coordination are important in the development of chronic disease, but the ability to accurately assess these in the daily lives of patients may be limited by traditional biased assessment tools. Wearable sensors offer the possibili
Externí odkaz: https://doaj.org/article/00d11bd599bc40008a6508e0ce376cce
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3
Motion sensor data anonymization by time-frequency filtering
Autor: Antoine Boutet, Théo Jourdan, Noëlie Debs, Ali Moukadem, Carole Frindel
Publikováno v: EUSIPCO
28th European Signal Processing Conference (EUSIPCO 2020)
28th European Signal Processing Conference (EUSIPCO 2020), Aug 2020, Amsterdam, Netherlands
HAL
International audience; Recent advances in wireless actimetry sensors allow recognizing human real-time activities with mobile devices. Although the analysis of data generated by these devices can have many benefits for healthcare, these data also co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7048588edd3e844fdfd41531d335c9c3
https://doi.org/10.23919/eusipco47968.2020.9287683
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4
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke
Autor: Carole Frindel, Pejman Rasti, Noëlie Debs, T.-H. Cho, David Rousseau, Léon Victor
Publikováno v: Computers in Biology and Medicine
Computers in Biology and Medicine, Elsevier, 2019, 116, pp.103579. ⟨10.1016/j.compbiomed.2019.103579⟩
Computers in Biology and Medicine, 2019, 116, pp.103579. ⟨10.1016/j.compbiomed.2019.103579⟩
International audience; The problem of final tissue outcome prediction of acute ischemic stroke is assessed from physically realistic simulated perfusion magnetic resonance images. Different types of simulations with a focus on the arterial input fun
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37bb4ee3b269aca2b6fae59f4c610917
https://hal.univ-angers.fr/hal-02428568
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5
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network
Autor: Noëlie Debs, T.-H. Cho, David Rousseau, Méghane Decroocq, Carole Frindel
Publikováno v: Simulation and Synthesis in Medical Imaging
Simulation and Synthesis in Medical Imaging, pp.151-160, 2019, ⟨10.1007/978-3-030-32778-1_16⟩
Simulation and Synthesis in Medical Imaging ISBN: 9783030327774
SASHIMI@MICCAI
MICCAI 2019
MICCAI 2019, Oct 2019, Shenzhen, China
HAL
International audience; We are focusing on the difficult task of predicting final lesion in stroke, a complex disease that leads to divergent imaging patterns related to the occluded artery level and the geometry of the patient’s vascular tree. We
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d37c922a2307125557de109542b935b
https://hal.univ-angers.fr/hal-02512518
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6
Intelligence artificielle pour la prédiction de l'évolution de la lésion ischémique de l'AVC par imagerie de perfusion
Autor: Noëlie Debs, David Rousseau, Tae-Hee Cho, Carole Frindel
Publikováno v: 3ème édition du Congrès National d'Imagerie du Vivant
3ème édition du Congrès National d'Imagerie du Vivant, 2019, Paris, France. pp.1
HAL
National audience; Résumé en français
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c2ea5faa06394a89697b30b3735d666a
https://hal.archives-ouvertes.fr/hal-02307733
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8
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke
Autor: T.-H. Cho, Mathilde Giacalone, David Rousseau, Noëlie Debs, Pejman Rasti, Emmanuel Grenier, Carole Frindel
Publikováno v: Medical Image Analysis
Medical Image Analysis, Elsevier, 2018, 50, pp.117-126. ⟨10.1016/j.media.2018.08.008⟩
Medical Image Analysis, Elsevier, 2018, 50, pp.117-126
Medical Image Analysis, 2018, 50, pp.117-126. ⟨10.1016/j.media.2018.08.008⟩
We address the medical image analysis issue of predicting the final lesion in stroke from early perfusion magnetic resonance imaging. The classical processing approach for the dynamical perfusion images consists in a temporal deconvolution to improve
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e98c44a1198a79c7b91f3da7f55b558a
https://hal.archives-ouvertes.fr/hal-02056917
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9
Perfusion MRI in stroke as a regional spatio-temporal texture
Autor: Noëlie Debs, Mathilde Giacalone, Pejman Rasti, Tae-Hee Cho, Carole Frindel, David Rousseau
Publikováno v: HAL
ISMRM 27th Annual Meeting & Exhibition
ISMRM 27th Annual Meeting & Exhibition, Jun 2018, Paris, France
Joint Annual Meeting ISMRM-ESMRMB 2018
Joint Annual Meeting ISMRM-ESMRMB 2018, Jun 2018, Paris, France
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7661f876be8470f802838b282911906f
https://hal.archives-ouvertes.fr/hal-02057352
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