Publications of F Glang

Loktyushin, A.; Herz, K.; Dang, N.; Glang, F.; Deshmane, A.; Weinmüller, S.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero: Automated discovery of MRI sequences using supervised learning. Magnetic Resonance in Medicine 86 (2), pp. 709 - 724 (2021)

Glang, F.; Deshmane, A.; Prokudin, S.; Martin, F.; Herz, K.; Lindig, T.; Bender, B.; Scheffler, K.; Zaiss, M.: DeepCEST 3T: Robust MRI parameter determination and uncertainty quantification with neural networks-application to CEST imaging of the human brain at 3. Magnetic Resonance in Medicine 84 (1), pp. 450 - 466 (2020)

Zaiss, M.; Deshmane, A.; Schuppert, M.; Herz, K.; Glang, F.; Ehses, P.; Lindig, T.; Bender, B.; Ernemann, U.; Scheffler, K.: DeepCEST: 9.4 T Chemical exchange saturation transfer MRI contrast predicted from 3 T data – a proof of concept study. Magnetic Resonance in Medicine 81 (6), pp. 3901 - 3914 (2019)

Dang, H.; Weinmüller, S.; Loktyushin, A.; Glang, F.; Dörfler, A.; Maier, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero with dAUTOMAP reconstruction: automated invention of MR acquisition and neural network reconstruction. In 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), 0333. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), May 15, 2021 - May 20, 2021. (2021)

Dang, H.; Loktyushin, A.; Glang, F.; Herz, K.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Maier, A.; Zaiss, M.: Autoencoding T1 using MRzero for simultaneous sequence optimization and neural network training. In Magnetic Resonance Materials in Physics, Biology and Medicine, 33 (Supplement 1), S03.03, pp. S27 - S28. 37th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2020), Wien, Austria, September 30, 2020 - October 02, 2020. No longer published by Elsevier, Amsterdam (2020)

Loktyushin, A.; Herz, K.; Glang, F.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRI zero: Fully automated invention of MRI sequences using supervised learning. In Magnetic Resonance Materials in Physics, Biology and Medicine, 32 (Supplement 1), S09.06, pp. S119 - S120. 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2019), Rotterdam, The Netherlands, October 03, 2019 - October 05, 2019. No longer published by Elsevier, Amsterdam (2019)

Birk, F.; Glang, F.; Birkl, C.; Scheffler, K.; Heule, R.: Quantification of multiple diffusion metrics from asymmetric balanced SSFP frequency profiles using neural networks. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Fabian, M.; Glang, F.; Khakzar, K.; Mennecke, A.; German, A.; Schmidt, M.; Kasper, B.; Dörfler, A.; Laun, F.; Zaiss, M.: Reduction of 7T CEST scan time and evaluation by L1-regularised linear projections. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Glang, F.; Buckenmaier, K.; Bause, J.; Loktyushin, A.; Avdievitch, N.; Scheffler, K.: Investigations on accelerated imaging at 9.4T with electronically modulated time-varying receive sensitivities. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Glang, F.; Fabian, M.; German, A.; Khakzar, K.; Mennecke, A.; Laun, F.; Kasper, B.; Schmidt, M.; Doerfler, A.; Scheffler, K. et al.; Zaiss, M.: Linear projection-based CEST reconstruction: the simplest explainable AI. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Glang, F.; Loktyushin, A.; Herz, K.; Dang, H.; Deshmane, A.; Weinmüller, S.; Doerfler, A.; Maier, A.; Schölkopf, B.; Scheffler, K. et al.; Zaiss, M.: Advances in MRzero: supervised learning of parallel imaging sequences including joint non-Cartesian trajectory and flip angle optimization. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Hunger, L.; German, A.; Glang, F.; Khakzar, K.; Dang, N.; Mennecke, A.; Maier, A.; Laun, F.; Zaiss, M.: DeepCEST: 7T Chemical exchange saturation transfer MRI contrast inferred from 3T data via deep learning with uncertainty quantification. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Loktyushin, A.; Herz, K.; Dang, N.; Glang, F.; Deshmane, A.; Weinmüller, F.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero: Automated invention of MRI sequences using supervised learning. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Weinmüller, S.; Dang, H.; Loktyushin, A.; Glang, F.; Doerfler, A.; Maier, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero sequence generation using analytic signal equations as forward model and neural network reconstruction for efficient auto-encoding. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)

Glang, F.: CEST-Lasso: L1-regularized linear projection based CEST evaluation and feature selection for reduced acquisition time. 8. International Workshop on Chemical Exchange Saturation Transfer Imaging (CEST 2020) (2020)

Glang, F.; Deshmane, A.; Prokudin, S.; Martin, F.; Herz, K.; Lindig, T.; Bender, B.; Scheffler, K.; Zaiss, M.: DeepCEST 3T: Robust neural network prediction of 3T CEST MRI parameters including uncertainty quantification. 2020 ISMRM & SMRT Virtual Conference & Exhibition (2020)

Mueller, S.; Glang, F.; Scheffler, K.; Zaiss, M.: pH mapping of brain tissue by a deep neural network trained on 9.4T CEST MRI data: pH-deepCEST. 2020 ISMRM & SMRT Virtual Conference & Exhibition (2020)

Glang, F.; Deshmane, A.; Martin, F.; Herz, K.; Scheffler, K.; Zaiss, M.: Can a neural network predict B0 maps from uncorrected CEST-spectra? 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montréal, QC, Canada (2019)

Zaiss, M.; Martin, F.; Glang, F.; Herz, K.; Deshmane, A.; Bender, B.; Lindig, T.; Scheffler, K.: deepCEST: 9.4 T spectral super resolution from 3 T CEST MRI data: optimization of network architectures. 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montréal, QC, Canada (2019)

Loktyushin, A.; Herz, K.; Dang, N.; Glang, F.; Deshmane, A.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero: Fully automated invention of MRI sequences using supervised learning. (submitted)