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)

Lee, J.; Mack, A.; Shiozawa-Bayer, T.; Scheffler, K.; Di Lillo, F.; Longo, R.; Tromba, G.; Hagberg, G.: Phase-contrast micro computed tomography for vasculature imaging in post mortem human brain stem. SfN Global Connectome 2021, Chicago, IL, USA (2021)

Lacosse, E.: Towards a learning fingerprint: new methods and paradigms for complex motor skill learning in fMRI. Dissertation, Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2021)

Pérez-Rodas, M.: Investigation of the BOLD effect for improved specificity with fast sequences and dedicated hardware. Dissertation, Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2021)

Molaei Vaneghi, F.; Zaretskaya, N.; van Mourik, T.; Bause, J.; Scheffler, K.; Bartels, A.: Integration of visual motion and pursuit signals in areas V3A and V6+ across cortical depth using 9.4T fMRI. (eingereicht)

Monsees, A.; Voit, K.-M.; Wallace, D.; Sawinski, J.; Leks, E.; Scheffler, K.; Macke, J.; Kerr, J.: Anatomically-based skeleton kinetics and pose estimation in freely-moving rodents. (eingereicht)

Shi, D.; Li, M.; Walter, M.; Noori, H.: Thermodynamic properties and Hilbert space of human brain. (eingereicht)

Perlman, O.; Zhu, B.; Zaiss, M.; Rosen, M.; Farrar, C.: An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST). (eingereicht)

Lohmann, G.; Lacosse, E.; Ethofer, T.; Kumar, V.; Scheffler, K.; Jost, J.: Predicting intelligence from fMRI data of the human brain in a few minutes of scan time. (eingereicht)