| Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies N Burgos, MJ Cardoso, K Thielemans, M Modat, S Pedemonte, J Dickson, ... IEEE transactions on medical imaging 33 (12), 2332-2341, 2014 | 406 | 2014 |
| Deep spine: automated lumbar vertebral segmentation, disc-level designation, and spinal stenosis grading using deep learning JT Lu, S Pedemonte, B Bizzo, S Doyle, KP Andriole, MH Michalski, ... Machine Learning for Healthcare Conference, 403-419, 2018 | 119 | 2018 |
| Attenuation correction synthesis for hybrid PET-MR scanners N Burgos, MJ Cardoso, M Modat, S Pedemonte, J Dickson, A Barnes, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 65 | 2013 |
| What approach to brain partial volume correction is best for PET/MRI? BF Hutton, BA Thomas, K Erlandsson, A Bousse, A Reilhac-Laborde, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2013 | 57 | 2013 |
| GPU accelerated rotation-based emission tomography reconstruction S Pedemonte, A Bousse, K Erlandsson, M Modat, S Arridge, BF Hutton, ... IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2657-2661, 2010 | 43 | 2010 |
| A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography TP Matthews, S Singh, B Mombourquette, J Su, MP Shah, S Pedemonte, ... Radiology: Artificial Intelligence 3 (1), e200015, 2020 | 38 | 2020 |
| An anatomically driven anisotropic diffusion filtering method for 3D SPECT reconstruction D Kazantsev, SR Arridge, S Pedemonte, A Bousse, K Erlandsson, ... Physics in medicine & Biology 57 (12), 3793, 2012 | 38 | 2012 |
| Markov random field and Gaussian mixture for segmented MRI-based partial volume correction in PET A Bousse, S Pedemonte, BA Thomas, K Erlandsson, S Ourselin, S Arridge, ... Physics in Medicine & Biology 57 (20), 6681, 2012 | 36 | 2012 |
| PET/MRI in the presence of metal implants: completion of the attenuation map from PET emission data N Fuin, S Pedemonte, OA Catalano, D Izquierdo-Garcia, A Soricelli, ... Journal of Nuclear Medicine 58 (5), 840-845, 2017 | 34 | 2017 |
| Concurrent respiratory motion correction of abdominal PET and dynamic contrast-enhanced–MRI using a compressed sensing approach N Fuin, OA Catalano, M Scipioni, LPW Canjels, D Izquierdo-Garcia, ... Journal of Nuclear Medicine 59 (9), 1474-1479, 2018 | 32 | 2018 |
| Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo) OA Catalano, L Umutlu, N Fuin, ML Hibert, M Scipioni, S Pedemonte, ... European Journal of Nuclear Medicine and Molecular Imaging 45, 2147-2154, 2018 | 27 | 2018 |
| A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras S Pedemonte, L Pierce, K Van Leemput Physics in Medicine & Biology 62 (21), 8376, 2017 | 26 | 2017 |
| Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction D Kazantsev, A Bousse, S Pedemonte, SR Arridge, BF Hutton, S Ourselin 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 25 | 2011 |
| Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis S Singh, TP Matthews, M Shah, B Mombourquette, T Tsue, A Long, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 25-32, 2020 | 23 | 2020 |
| Characterization of highly multiplexed monolithic PET/gamma camera detector modules LA Pierce, S Pedemonte, D DeWitt, L MacDonald, WCJ Hunter, ... Physics in Medicine & Biology 63 (7), 075017, 2018 | 22 | 2018 |
| Detection and delineation of acute cerebral infarct on DWI using weakly supervised machine learning S Pedemonte, B Bizzo, S Pomerantz, N Tenenholtz, B Wright, M Walters, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 16 | 2018 |
| 4-D generative model for PET/MRI reconstruction S Pedemonte, A Bousse, BF Hutton, S Arridge, S Ourselin Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 16 | 2011 |
| Weighted MRI-based Bowsher priors for SPECT brain image reconstruction A Bousse, S Pedemonte, D Kazantsev, S Ourselin, S Arridge, BF Hutton IEEE Nuclear Science Symposuim & Medical Imaging Conference, 3519-3522, 2010 | 16 | 2010 |
| Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging CP Bridge, BC Bizzo, JM Hillis, JK Chin, DS Comeau, R Gauriau, ... Scientific reports 12 (1), 2154, 2022 | 14 | 2022 |
| Efficient determination of the uncertainty for the optimization of SPECT system design: A subsampled Fisher information matrix N Fuin, S Pedemonte, S Arridge, S Ourselin, BF Hutton IEEE transactions on medical imaging 33 (3), 618-635, 2013 | 12 | 2013 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College London在 kcl.ac.uk 的电子邮件经过验证
