Publications of F Glang

Endres, J.; Dang, H.; Glang, F.; Loktyushin, A.; Weinmüller, S.; Zaiss, M.: Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022), London, UK (2022)

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)

Zaiss, M.; Glang, F.; Prokudin, S.; Scheffler, K.: Machine learning based processing of magnetic resonance data, including an uncertainty quantification. US 2022/0179026 A1 (2022)