| Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies N Burgos, MJ Cardoso, K Thielemans, M Modat, S Pedemonte, J Dickson, ... Medical Imaging, IEEE Transactions on 33 (12), 2332 - 2341, 2014 | 318 | 2014 |
| Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ... Medical image analysis 63, 101694, 2020 | 205 | 2020 |
| A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients CN Ladefoged, I Law, U Anazodo, KS Lawrence, D Izquierdo-Garcia, ... Neuroimage 147, 346-359, 2017 | 186 | 2017 |
| Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ... NeuroImage 183, 504 - 521, 2018 | 108 | 2018 |
| Comparative study of algorithms for synthetic CT generation from MRI: consequences for MRI‐guided radiation planning in the pelvic region H Arabi, JA Dowling, N Burgos, X Han, PB Greer, N Koutsouvelis, H Zaidi Medical physics 45 (11), 5218-5233, 2018 | 83 | 2018 |
| Study protocol: Insight 46–a neuroscience sub-study of the MRC National Survey of Health and Development CA Lane, TD Parker, DM Cash, K Macpherson, E Donnachie, ... BMC neurology 17 (1), 1-25, 2017 | 66 | 2017 |
| Attenuation correction synthesis for hybrid PET-MR scanners N Burgos, MJ Cardoso, M Modat, S Pedemonte, J Dickson, A Barnes, ... International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 61 | 2013 |
| Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning F Guerreiro, N Burgos, A Dunlop, K Wong, I Petkar, C Nutting, ... Physica Medica 35, 7-17, 2017 | 58 | 2017 |
| Robust CT synthesis for radiotherapy planning: application to the head and neck region N Burgos, MJ Cardoso, F Guerreiro, C Veiga, M Modat, J McClelland, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 50 | 2015 |
| Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers N Burgos, MJ Cardoso, K Thielemans, M Modat, J Dickson, JM Schott, ... European journal of nuclear medicine and molecular imaging 42 (9), 1447-1458, 2015 | 48 | 2015 |
| Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... Medical Image Analysis 67, 101848, 2021 | 36 | 2021 |
| Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning N Burgos, F Guerreiro, J McClelland, B Presles, M Modat, S Nill, ... Physics in Medicine & Biology 62 (11), 4237, 2017 | 36 | 2017 |
| Clinica: an open source software platform for reproducible clinical neuroscience studies A Routier, N Burgos, M Díaz, M Bacci, S Bottani, O El-Rifai, S Fontanella, ... Frontiers in Neuroinformatics 15, 39, 2021 | 34 | 2021 |
| NiftyWeb: web based platform for image processing on the cloud F Prados, MJ Cardoso, N Burgos, CA Wheeler-Kingshott, S Ourselin, ... International Society for Magnetic Resonance in Medicine (ISMRM) 24th …, 2016 | 33* | 2016 |
| Multi-atlas–based attenuation correction for brain 18F-FDG PET imaging using a time-of-flight PET/MR scanner: comparison with clinical single-atlas–and CT-based attenuation … T Sekine, N Burgos, G Warnock, M Huellner, A Buck, EEGW Ter Voert, ... Journal of Nuclear Medicine 57 (8), 1258-1264, 2016 | 31 | 2016 |
| Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data J Jiao, A Bousse, K Thielemans, N Burgos, PSJ Weston, JM Schott, ... IEEE transactions on medical imaging 36 (1), 203-213, 2016 | 29 | 2016 |
| Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region JP Kieselmann, CP Kamerling, N Burgos, MJ Menten, CD Fuller, S Nill, ... Physics in Medicine & Biology 63 (14), 145007, 2018 | 24 | 2018 |
| Detail-preserving PET reconstruction with sparse image representation and anatomical priors J Jiao, P Markiewicz, N Burgos, D Atkinson, B Hutton, S Arridge, ... International Conference on Information Processing in Medical Imaging, 540-551, 2015 | 22 | 2015 |
| Using florbetapir positron emission tomography to explore cerebrospinal fluid cut points and gray zones in small sample sizes PSJ Weston, RW Paterson, M Modat, N Burgos, MJ Cardoso, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (4 …, 2015 | 19 | 2015 |
| Yet another ADNI machine learning paper? Paving the way towards fully-reproducible research on classification of Alzheimer’s disease J Samper-González, N Burgos, S Fontanella, H Bertin, MO Habert, ... International Workshop on Machine Learning in Medical Imaging, 53-60, 2017 | 18 | 2017 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerifierad e-postadress på kcl.ac.uk
