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Mathieu Rubeaux

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
2023 · Hering, Alessa, Hansen, Lasse, et al. · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 252
Motion Correction of 18F-NaF PET for Imaging Coronary Atherosclerotic Plaques
2015 · Mathieu Rubeaux, Nikhil V. Joshi, et al. · Journal of Nuclear Medicine · 83
Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation
2016 · Julian Betancur, Mathieu Rubeaux, et al. · Journal of Nuclear Medicine · 68
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Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
2017 · Ivana Išgum, Bob D. de Vos, et al. · Journal of Nuclear Cardiology · 66
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Epicardial adipose tissue volume but not density is an independent predictor for myocardial ischemia
2016 · Michaela M. Hell, Xiaowei Ding, et al. · Journal of cardiovascular computed tomography · 64
Optimization of reconstruction and quantification of motion-corrected coronary PET-CT
2018 · Mhairi K. Doris, Yuka Otaki, et al. · Journal of Nuclear Cardiology · 53
Dual-Gated Motion-Frozen Cardiac PET with Flurpiridaz F 18
2015 · Piotr J. Slomka, Mathieu Rubeaux, et al. · Journal of Nuclear Medicine · 53
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Enhancing Cardiac PET by Motion Correction Techniques
2017 · Mathieu Rubeaux, Mhairi K. Doris, et al. · Current Cardiology Reports · 48
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
2019 · Gianmarco Santini, Noémie Moreau, et al. · 34
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Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer
2020 · Noemie Moreau, Caroline Rousseau, et al. · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 33
Motion-Corrected Imaging of the Aortic Valve with 18F-NaF PET/CT and PET/MRI: A Feasibility Study
2017 · Mhairi K. Doris, Mathieu Rubeaux, et al. · Journal of Nuclear Medicine · 28
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Molecular Imaging of Vulnerable Coronary Plaque: A Pathophysiologic Perspective
2017 · Sandeep Krishnan, Yuka Otaki, et al. · Journal of Nuclear Medicine · 28
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Quantitation of left ventricular ejection fraction reserve from early gated regadenoson stress Tc-99m high-efficiency SPECT
2016 · Yafim Brodov, Mathews Fish, et al. · Journal of Nuclear Cardiology · 28
Normal Databases for the Relative Quantification of Myocardial Perfusion
2016 · Mathieu Rubeaux, Yuan Xu, et al. · Current Cardiovascular Imaging Reports · 26
Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment
2021 · Noémie Moreau, Caroline Rousseau, et al. · Cancers · 24
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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
2022 · Alessa Hering, Lasse Hansen, et al. · IEEE Transactions on Medical Imaging · 14
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Demons versus level-set motion registration for coronary 18F-sodium fluoride PET
2016 · Mathieu Rubeaux, Nikhil Joshi, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 12
The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
2021 · Mathilde Colombié, Pascal Jézéquel, et al. · BMC Cancer · 11
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Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images
2020 · Constance Fourcade, Ludovic Ferrer, et al. · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 9
Unpaired PET/CT image synthesis of liver region using CycleGAN
2020 · Gianmarco Santini, Constance Fourcade, et al. · International Symposium on Medical Information Processing and Analysis (SIPAIM) · 8
Quantification with normal limits: New cameras and low-dose imaging
2016 · Piotr J. Slomka, Mathieu Rubeaux, et al. · Journal of Nuclear Cardiology · 8
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Medical image registration using Edgeworth-based approximation of Mutual Information
2014 · M. Rubeaux, J.-C. Nunes, et al. · IRBM · 8
Evaluation of non-rigid constrained CT/CBCT registration algorithms for delineation propagation in the context of prostate cancer radiotherapy
2013 · Mathieu Rubeaux, Antoine Simon, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 8
Deformable image registration with deep network priors: a study on longitudinal PET images
2022 · Constance Fourcade, Ludovic Ferrer, et al. · Physics in Medicine and Biology · 7
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Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images
2021 · Noémie Moreau, Caroline Rousseau, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 7
Works count: 53
Citation count: 968
H-index: 14
I10-index: 17
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