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