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Mathieu Rubeaux
Mathieu Rubeaux
Maincare
Bestätigte E-Mail-Adresse bei maincare.fr
Titel
Zitiert von
Zitiert von
Jahr
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022
1132022
Motion correction of 18F-NaF PET for imaging coronary atherosclerotic plaques
M Rubeaux, NV Joshi, MR Dweck, A Fletcher, M Motwani, LE Thomson, ...
Journal of Nuclear Medicine 57 (1), 54-59, 2016
902016
Automatic valve plane localization in myocardial perfusion SPECT/CT by machine learning: anatomic and clinical validation
J Betancur, M Rubeaux, TA Fuchs, Y Otaki, Y Arnson, L Slipczuk, ...
Journal of Nuclear Medicine 58 (6), 961-967, 2017
662017
Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
I Išgum, BD de Vos, JM Wolterink, D Dey, DS Berman, M Rubeaux, ...
Journal of Nuclear Cardiology 25 (6), 2133-2142, 2018
562018
Epicardial adipose tissue volume but not density is an independent predictor for myocardial ischemia
MM Hell, X Ding, M Rubeaux, P Slomka, H Gransar, D Terzopoulos, ...
Journal of cardiovascular computed tomography 10 (2), 141-149, 2016
562016
Dual-gated motion-frozen cardiac PET with flurpiridaz F 18
PJ Slomka, M Rubeaux, L Le Meunier, D Dey, JL Lazewatsky, T Pan, ...
Journal of Nuclear Medicine 56 (12), 1876-1881, 2015
532015
Optimization of reconstruction and quantification of motion-corrected coronary PET-CT
MK Doris, Y Otaki, SK Krishnan, J Kwiecinski, M Rubeaux, A Alessio, ...
Journal of Nuclear Cardiology 27, 494-504, 2020
482020
Enhancing cardiac PET by motion correction techniques
M Rubeaux, MK Doris, A Alessio, PJ Slomka
Current cardiology reports 19, 1-8, 2017
422017
Molecular imaging of vulnerable coronary plaque: A pathophysiologic perspective
S Krishnan, Y Otaki, M Doris, L Slipczuk, Y Arnson, M Rubeaux, D Dey, ...
Journal of Nuclear Medicine 58 (3), 359-364, 2017
302017
Motion-corrected imaging of the aortic valve with 18F-NaF PET/CT and PET/MRI: a feasibility study
MK Doris, M Rubeaux, T Pawade, Y Otaki, Y Xie, D Li, BK Tamarappoo, ...
Journal of Nuclear Medicine 58 (11), 1811-1814, 2017
282017
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
G Santini, N Moreau, M Rubeaux
arXiv preprint arXiv:1909.00735, 2019
272019
Quantitation of left ventricular ejection fraction reserve from early gated regadenoson stress Tc-99m high-efficiency SPECT
Y Brodov, M Fish, M Rubeaux, Y Otaki, H Gransar, M Lemley, J Gerlach, ...
Journal of nuclear cardiology 23 (6), 1251-1261, 2016
272016
Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer*
N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
262020
Normal databases for the relative quantification of myocardial perfusion
M Rubeaux, Y Xu, G Germano, DS Berman, PJ Slomka
Current cardiovascular imaging reports 9, 1-11, 2016
242016
Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment
N Moreau, C Rousseau, C Fourcade, G Santini, A Brennan, L Ferrer, ...
Cancers 14 (1), 101, 2021
172021
Demons versus level-set motion registration for coronary 18F-sodium fluoride PET
M Rubeaux, N Joshi, MR Dweck, A Fletcher, M Motwani, LE Thomson, ...
Medical Imaging 2016: Image Processing 9784, 1044-1050, 2016
162016
Quantification with normal limits: New cameras and low-dose imaging
PJ Slomka, M Rubeaux, G Germano
Journal of Nuclear Cardiology 24, 1637-1640, 2017
102017
The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
M Colombié, P Jézéquel, M Rubeaux, JS Frenel, F Bigot, V Seegers, ...
BMC cancer 21, 1-9, 2021
92021
Medical image registration using Edgeworth-based approximation of Mutual Information
M Rubeaux, JC Nunes, L Albera, M Garreau
Irbm 35 (3), 139-148, 2014
92014
Approximation de l'Information Mutuelle basée sur le développement d'Edgeworth: application au recalage d'images médicales.
M Rubeaux
Université Rennes 1, 2011
92011
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