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 | 270 | 2015 |
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 | 99 | 2020 |
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 | 56* | 2015 |
Blind calibration in compressed sensing using message passing algorithms C Schulke, F Caltagirone, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems 26, 2013 | 25 | 2013 |
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 | 20 | 2019 |
Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ... Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 17 | 2021 |
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 | 17 | 2020 |
Multiple phases in modularity-based community detection C Schülke, F Ricci-Tersenghi Physical Review E 92 (4), 042804, 2015 | 13 | 2015 |
Blind sensor calibration using approximate message passing C Schülke, F Caltagirone, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2015 (11), P11013, 2015 | 9 | 2015 |
Phase diagram of matrix compressed sensing C Schülke, P Schniter, L Zdeborová Physical Review E 94 (6), 062136, 2016 | 8 | 2016 |
High-resolution free-breathing quantitative first-pass perfusion cardiac MR using dual-echo Dixon with spatio-temporal acceleration J Tourais, CM Scannell, T Schneider, E Alskaf, R Crawley, F Bosio, ... Frontiers in Cardiovascular Medicine 9, 884221, 2022 | 4 | 2022 |
Statistical physics of linear and bilinear inference problems C Schülke arXiv preprint arXiv:1607.00675, 2016 | 4 | 2016 |
High-Resolution Free-Breathing Quantitative Myocardial Perfusion MRI Using Multi-Echo Dixon J Tourais, T Schneider, C Scannell, R Franks, J Sanchez-Gonzalez, ... ISMRM, 2020 | 2 | 2020 |
Statistical inference with probabilistic graphical models A Drémeau, C Schülke, Y Xu, D Shah arXiv preprint arXiv:1409.4928, 2014 | 2 | 2014 |
Correction of magnetic resonance images using multiple magnetic resonance imaging system configurations CMJ Schuelke, K Sommer, GR Duensing, P Boernert US Patent App. 17/923,617, 2023 | 1 | 2023 |
Medical data collection for machine learning A Ewald, T Nielsen, K Sommer, I Waechter-Stehle, CMJ Schülke, ... US Patent 11,669,636, 2023 | 1 | 2023 |
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 | 1 | 2013 |
Motion artifact prediction during data acquisition A Saalbach, S Weiss, K Sommer, C Schuelke, M Helle US Patent 11,633,123, 2023 | | 2023 |
Motion Compensated CT Reconstruction of the Head S Wild, R Bippus, T Koehler, C Schülke, A Tsanda, F Bergner, M Grass 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | | 2022 |
The effect of intra-scan motion on AI reconstructions in MRI L Beljaards, N Pezzotti, C Schülke, MJP van Osch, M Staring Medical Imaging with Deep Learning, 2022 | | 2022 |