Philippe Ciuciu will be giving a 3-min power pitch (see slides here) at the 2020 ISMRM workshop focusing on Data sampling and Image reconstruction that will be held in Sedona, AZ (USA) on Jan, 26-29 2020.
Loubna El Gueddari will defend her PhD thesis at NeuroSpin on December, 13th at 2:30PM. Her thesis was entitled: Proximal structured sparsity regularization for online reconstruction in high-resolution accelerated MRI.
Very proud of Carole Lazarus our former PhD student at NeuroSpin, winner of the prize of the Chancellery of the Universities of Paris 2019 edition in the Sciences At Large section, for her thesis on acceleration techniques for MRI imaging exams, called SPARKLING.
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.