Christophe Schülke
Christophe Schülke
Verified email at philips.com
Title
Cited by
Cited by
Year
Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques
A Drémeau, A Liutkus, D Martina, O Katz, C Schülke, F Krzakala, S Gigan, ...
Optics express 23 (9), 11898-11911, 2015
1272015
Approximate message-passing with spatially coupled structured operators, with applications to compressed sensing and sparse superposition codes
J Barbier, C Schülke, F Krzakala
Journal of Statistical Mechanics: Theory and Experiment 2015 (5), P05013, 2015
49*2015
Blind calibration in compressed sensing using message passing algorithms
C Schülke, F Caltagirone, F Krzakala, L Zdeborová
arXiv preprint arXiv:1306.4355, 2013
232013
Multiple phases in modularity-based community detection
C Schülke, F Ricci-Tersenghi
Physical Review E 92 (4), 042804, 2015
112015
Blind sensor calibration using approximate message passing
C Schülke, F Caltagirone, L Zdeborová
Journal of Statistical Mechanics: Theory and Experiment 2015 (11), P11013, 2015
92015
Phase diagram of matrix compressed sensing
C Schülke, P Schniter, L Zdeborová
Physical Review E 94 (6), 062136, 2016
72016
An adaptive intelligence algorithm for undersampled knee MRI reconstruction: Application to the 2019 fastMRI challenge
N Pezzotti, S Yousefi, MS Elmahdy, J Van Gemert, C Schülke, M Doneva, ...
arXiv preprint arXiv:2004.07339, 2020
62020
Adaptive-CS-net: FastMRI with adaptive intelligence
N Pezzotti, E de Weerdt, S Yousefi, MS Elmahdy, J van Gemert, ...
arXiv preprint arXiv:1912.12259, 2019
42019
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
N Pezzotti, S Yousefi, MS Elmahdy, JHF Van Gemert, C Schuelke, ...
IEEE Access 8, 204825-204838, 2020
22020
Statistical physics of linear and bilinear inference problems
C Schülke
arXiv preprint arXiv:1607.00675, 2016
22016
Statistical inference with probabilistic graphical models
A Drémeau, C Schülke, Y Xu, D Shah
arXiv preprint arXiv:1409.4928, 2014
22014
Comparison of reconstruction methods for accelerated cardiac MR stress perfusion after physical stress with supine ergometer
C Schülke, S Roujol, M Foppa, EV Gervino, KV Kissinger, B Goddu, ...
Proceedings of the 21st Annual Meeting if ISMRM, Salt Lake City, Utah, USA, 1318, 2013
12013
Medical data collection for machine learning
A Ewald, T Nielsen, K Sommer, I Waechter-Stehle, CMJ Schülke, ...
US Patent App. 16/814,249, 2020
2020
Approches Bayésiennes pour la reconstruction de phase Application à l'optique des milieux complexes
A Dremeau, A Liutkus, D Martina, O Katz, C Schülke, F Krzakala, S Gigan, ...
GRETSI, 2015
2015
Low latency iterative reconstruction of first pass stress cardiac perfusion with physiological stress using graphical processing unit
S Roujol, TA Basha, C Schülke, M Buehrer, WJ Manning, R Nezafat
Journal of Cardiovascular Magnetic Resonance 15 (1), 1-3, 2013
2013
GPU VS CPU CLUSTER RECONSTRUCTION FOR LOW LATENCY ITERATIVE RECONSTRUCTION OF FIRST PASS STRESS CARDIAC PERFUSION WITH PHYSIOLOGICAL STRESS
S Roujol, TA Basha, C Schülke, M Buehrer, WJ Manning, R Nezafat
Lenka Zdeborová
A Manoel, L Miolane, F Sausset, C Schulke, Y Sun, E Tramel
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