While finishing my Engineering degree in electrical engineering and computer science from the French graduate school ENSEA (École Nationale Supérieure de l’Électronique et de ses Applications), I specialised in Medical Physics and obtained an MSc in Biomedical Engineering from Imperial College London (2012). After graduating, I started a PhD at University College London (UCL) in the Translational Imaging Group, part of the Centre for Medical Image Computing (CMIC), under the supervision of Prof. Sébastien Ourselin. The main focus of my PhD has been to develop image synthesis algorithms for MR-based attenuation correction in hybrid PET/MR scanners, and for detecting pathological abnormalities in the reconstructed PET data. At the end of my PhD in 2016, I received funding from the CMIC-EPSRC Platform Grant to explore a new field of research. During this one-year postdoc at UCL I decided to tackle the problem of automatic MR-based radiotherapy treatment planning in the pelvic region by developing a new framework combining segmentation and image synthesis. I moved back to France in 2017 after having been awarded a PRESTIGE incoming mobility co-financing grant. I am currently a postodoctoral researcher in the ARAMIS lab (Paris) , developing computational imaging tools to improve the understanding and diagnosis of dementia.
You can check my CV here.
- Burgos N, Cardoso MJ, Thielemans K, Modat M, Pedemonte S, Dickson J, Barnes A, Ahmed R, Mahoney CJ, Schott JM, Duncan JS, Atkinson D, Arridge SR, Hutton BF and Ourselin S: Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies, IEEE Transactions on Medical Imaging, 33(12): 2332–2341, 2014
- Burgos N, Guerreiro F, McClelland J, Presles B, Modat M, Nill S, Dearnaley D, deSouza N, Oelfke U, Knopf AC, Ourselin S, Cardoso MJ: Iterative Framework for the Joint Segmentation and CT Synthesis of MR Images: Application to MRI-only Radiotherapy Treatment Planning. An invited paper in the Special Issues of Physics in Medicine and Biology on Recent Progress in Applications of Computing to Radiotherapy, 62(11): 4237, 2017
- Burgos N, Samper-González J, Bertrand A, Habert M-O, Ourselin S, Durrleman S, Cardoso MJ, Colliot O: Individual Analysis of Molecular Brain Imaging Data through Automatic Identification of Abnormality Patterns. CMMI 2017, LNCS 10555, pp. 13–22, 2017
SASHIMI 2018: A MICCAI 2018 workshop
Building on the successful past two years, SASHIMI continues to provide a state-of-the-art and integrative perspective on simulation and synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions.
We will be in Singapore this June to present Clinica, our software platform for neuroimaging research studies, and show how it can be used to perform reproducible evaluation of Alzheimer’s disease classification using anatomical MRI, diffusion MRI and PET data. We will also present a pipeline for the analysis of PET data on the cortical surface.
- Routier, A., Guillon, J., Burgos, N., Samper-Gonzalez, J., Wen, J., Fontanella, S., Bottani, S., Jacquemont, T., Marcoux, A., Gori, P., Lu, P., Moreau, T., Bacci, M., Durrleman, S., Colliot, O.: Clinica: an open source software platform for reproducible clinical neuroscience studies. Presented at the Annual meeting of the Organization for Human Brain Mapping – OHBM 2018. Available on HAL.
- Samper-Gonzalez, J., Bottani, S., Burgos, N., Fontanella, S., Lu, P., Marcoux, A., Routier, A., Guillon, J., Bacci, M., Wen, J., Bertrand, A., Bertin, H., Habert, M.-O., Durrleman, S., Evgeniou, T., Colliot, O.: Reproducible evaluation of Alzheimer’s Disease classification from MRI and PET data. Presented at the Annual meeting of the Organization for Human Brain Mapping – OHBM 2018. Available on HAL.
- Wen, J., Samper-Gonzalez, J., Bottani, S., Routier, A., Burgos, N., Jacquemont, T., Fontanella, S., Durrleman, S., Bertrand, A., Colliot, O.: Comparison of DTI Features for the Classification of Alzheimer’s Disease: A Reproducible Study. Presented at the Annual meeting of the Organization for Human Brain Mapping – OHBM 2018. Available on HAL.
- Marcoux, A., Burgos, N., Bertrand, A., Routier, A., Wen, J., Samper-Gonzalez, J., Bottani, S., Durrleman, S., Habert, M.-O., Colliot, O.: A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNI. Presented at the Annual meeting of the Organization for Human Brain Mapping – OHBM 2018. Available on HAL.