philippe ciuciu

Deep learning for fast MR image reconstruction

Due to the COVID-19 pandemic, watch out Zaccharie Ramzi’s video at ISBI 2020 about his benchmark of Deep Learning MRI image reconstruction methods on the fast MRI data set (knee data).

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Reach Z. Ramzi’s paper on DL for MRI recon in Applied Sciences

Carole Lazarus – a key player on the Women in Science Day – Feb, 11 2020

Carole Lazarus has played a key role for women in science in 2019, as acknowledged on Feb, 11 2020 - the Women in Science Day in the ISMRM society.

2020 DRF Impulsion Days

Presentation of the PySAP-MRI plugin at the 2020 ISMRM WS Data sampling & Image reconstruction

Loubna El Gueddari’s PhD defense

Carole Lazarus awarded by The Chancellor of University of Paris, 2019 Edition

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.

Author: philippe ciuciu

Chaithya GR got a NUMERICS PhD position!

PhD position filled in Deep Learning for sampling pattern optimization & MR image recon

PySAP paper is out in Astronomy & Computing!

Python Sparse Data Analysis Package for multidisciplinary image processing

3D SPARKLING paper is out!

Carole Lazarus' paper on 3D SPARKLING is out in NMR in Biomed

Zaccharie’s Ramzi video to virtual ISBI 2020 conference