Welcome to Guillaume Daval-Frérot!
We're glad to welcome Guillaume Daval Frérot in the COSMIC team in November 2019 as a CIFRE PhD student with Siemens-Heathineers. Guillaume will be working on deep learning MR image reconstruction aspects for B0 inhomogeneity corrections in accelerated 3D susceptibilty weighted imaging at 3 Tesla.
Welcome to Mathilde Ripart!
We're glad to welcome Mathilde Ripart in the COSMIC team in November 2019 as research engineer to demonstrate the added value to the patient of Sparkling acquisition in MRI. Mathilde will be focusing on accelerated 3D susceptibility weighted imaging at 3 Tesla.
Carole Lazarus will receive on Dec, 3 at La Sorbonne Université the 2019 Best PhD award from the Chancellor of Paris University in the Section General Sciences. For more details on the ceremony, look at this post
Welcome to Anaïs Artiges!
We're glad to welcome Anaïs Artiges in the COSMIC team in October 2019 as PhD student. She'll be working under the joint supervision of Cyril Poupon and Philippe Ciuciu on the development of a new silent and accelerated diffusion-weighted MRI pulse sequences for pediatric applications at 3 Tesla.
Welcome to Chaithya GR!
We're glad to welcome Chaithya Giliyar Radhakrishna in the COSMIC team in July 2019 for a 1-year research engineer contract. Chaithya will be working both on the accelerated acquisition and reconstruction aspects primarily for the Fast FIB-SEM project but also for MRI.
Carole Lazarus will be competing as finalist to the Rabit Young Investigator Award at the 27th edition of the ISMRM conference for her work entitled: SPARKLING: variable-density k-space filling curves for accelerated MRI.
She will be also presenting an electronic poster entitled: 3D SPARKLING for accelerated ex vivo T2*-weighted MRI with compressed sensing. See the abstract here.
Loubna El Gueddari will be presenting two electronic posters related to her works:
Philippe Ciuciu will be giving a tutorial with Prof. Jeffrey Fessler (U Michigan) on the recent progresses in Compressed sensing MR data acquisition and machine learning for image reconstruction. Go here for details.
Loubna El Gueddari will be giving a talk at the 17th IEEE International Symposium on Biomedical Imaging that will be held in Venice, Italy (April, 8-11 2019). Her paper is entitled
- Calibrationless OSCAR-based MR image reconstruction in compressed sensing parallel MRI. Paper available here
Nicolas Chartier will join us on Jan, 20 2019 for a 7-month contract to work on the development of a 3D SPARKLING Python package in order to quickly generate MRI under-sampling schemes.