| 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 | 192 | 2022 |
| 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 | 95 | 2016 |
| 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 | 69 | 2017 |
| 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 | 61 | 2018 |
| 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 | 58 | 2016 |
| 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 | 55 | 2015 |
| 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 | 54 | 2020 |
| Enhancing cardiac PET by motion correction techniques M Rubeaux, MK Doris, A Alessio, PJ Slomka Current cardiology reports 19, 1-8, 2017 | 45 | 2017 |
| 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 | 31 | 2020 |
| 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 | 31 | 2019 |
| 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 | 30 | 2017 |
| 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 | 28 | 2017 |
| 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 | 28 | 2016 |
| 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 | 26 | 2016 |
| 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 | 20 | 2021 |
| 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 | 16 | 2016 |
| Quantification with normal limits: New cameras and low-dose imaging PJ Slomka, M Rubeaux, G Germano Journal of Nuclear Cardiology 24, 1637-1640, 2017 | 12 | 2017 |
| Medical image registration using Edgeworth-based approximation of Mutual Information M Rubeaux, JC Nunes, L Albera, M Garreau Irbm 35 (3), 139-148, 2014 | 11 | 2014 |
| Approximation de l'Information Mutuelle basée sur le développement d'Edgeworth: application au recalage d'images médicales. M Rubeaux Université Rennes 1, 2011 | 11 | 2011 |
| 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 | 9 | 2021 |
Piotr SlomkaProfessor of Medicine and Cardiology, Artificial Intelligence in Medicine, Cedars-SinaiVerified email at cshs.org