Maya Khalifé
Maya Khalifé
Arterys Inc.
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Cited by
Cited by
Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction
P Blanc-Durand, M Khalife, B Sgard, S Kaushik, M Soret, A Tiss, ...
PloS one 14 (10), e0223141, 2019
Subject-specific bone attenuation correction for brain PET/MR: can ZTE-MRI substitute CT scan accurately?
M Khalifé, B Fernandez, O Jaubert, M Soussan, V Brulon, I Buvat, ...
Physics in Medicine & Biology 62 (19), 7814, 2017
ZTE MR-based attenuation correction in brain FDG-PET/MR: performance in patients with cognitive impairment
B Sgard, M Khalifé, A Bouchut, B Fernandez, M Soret, A Giron, ...
European Radiology 30, 1770-1779, 2020
Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas
A Pellerin, M Khalifé, M Sanson, L Rozenblum-Beddok, M Bertaux, ...
European Radiology, 1-11, 2021
Estimating absolute aortic pressure using MRI and a one-dimensional model
M Khalifé, A Decoene, F Caetano, L De Rochefort, E Durand, ...
Journal of Biomechanics 47 (13), 3390-3399, 2014
Dose Reduction in Brain [18F]FDG PET/MRI: Give It Half a Chance
M Soret, E Piekarski, N Yeni, A Giron, JA Maisonobe, M Khalifé, ...
Molecular Imaging and Biology 22, 695-702, 2020
Correcting photon attenuation in brain PET-MR using a ZTE sequence and comparison to CT-based attenuation correction.
M Khalife, M Soussan, S Desarnaud, L Kallou, V Brulon, C Comtat
Journal of Nuclear Medicine 57 (supplement 2), 1871-1871, 2016
In vitro validation of non-invasive aortic compliance measurements using MRI
M Khalife, D Rodriguez, L de Rochefort, E Durand
Computer Methods in Biomechanics and Biomedical Engineering 15 (sup1), 83-84, 2012
Exploring the relation between MR ZTE intensity and tissue density: application to MR attenuation correction in PET/MR
M Khalifé, B Fernandez, C Nioche, M Soussan, I Buvat, V Brulon
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room …, 2016
Mesure de pression non-invasive par imagerie cardiovasculaire et modélisation unidimensionnelle de l’aorte
M Khalifé
Paris 11, 2013
ZTE-based attenuation correction in head and neck PET/MR
M Khalifé, R de Larocheyz, D Bequé, B Sgard, F Pérez-García, M Sorety, ...
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017
SUV phantom measurements in integrated PET/MR system without using CT for attenuation correction
M Soret, JA Maisonobe, M Khalife, V Lebon, C Jenny, A Kas
Journal of Nuclear Medicine 58 (supplement 1), 1347-1347, 2017
37. Use of a dedicated brain phantom in PET/MR
JA Maisonobe, M Soret, M Khalifé, C Jenny, A Kas
Physica Medica: European Journal of Medical Physics 44, 43, 2017
ZTE-based attenuation correction in head and neck PET/MRI
R de Laroche, M Khalife, D Beque, B Sgard, F Perez-Garcia, M Soret, ...
Validation of a dose reduction simulation for neurodegenerative brain indications in 18F-FDG PET/MR
M Soret, JA Maisonobe, M Khalifé, A Kas
EANM'17, 2017
Effect of attenuation and its correction in brain PET/MR imaging: a phantom study
M Soret, JA Maisonobe, M Khalifé, A Kas
EANM'17, 2017
Une nouvelle méthodologie de contrôle qualité du SUV avec un TEP/IRM intégré
M Soret, JA Maisonobe, M Khalifé, V Lebon, C Jenny, A Kas
Médecine Nucléaire 41 (3), 155-156, 2017
Correlating ZTE MRI signal to bone density to derive a patient-specific attenuation correction map in brain PET/MR
M Khalifé, B Fernandez, O Jaubert, M Soussan, I Buvat, V Brulon, ...
ZTE MRI for attenuation correction in PET/MR: performance in a large cohort of cognitive disorder patients
M Khalifé, B Sgard, A Bouchut, B Fernandez, M Soret, G Delso, ...
Learning-based attenuation correction for Head and Neck PET/MR
M Khalifé, R de Laroche, S Kaushik, B Sgard, F Pérez-García, MS Amor, ...
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