Publications of K Scheffler

Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Heule, R.: Flexible and Cost-Effective Deep Learning for Fast Multi-Parametric Relaxometry using Phase-Cycled bSSFP. (submitted)

Choi, S.; Hike, D.; Pohmann, R.; Avdievich, N.; Gomez Cid, L.; Man, W.; Scheffler, K.; Yu, X.: Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI. (submitted)

Lee, J.; Donato, S.; Mack, A.; Mattheus, U.; Tromba, G.; Longo, E.; D’Amico, L.; Mueller, S.; Shiozawa, T.; Bause, J. et al.; Scheffler, K.; Longo, R.; Hagberg, G.: Protocol for 3D Virtual Histology of Unstained Human Brain Tissue using Synchrotron Radiation Phase-Contrast Microtomography. (submitted)

Lohmann, G.; Heczko, S.; Mahler, L.; Wang, Q.; Steiglechner, J.; Kumar, V.; Roost, M.; Jost, J.; Scheffler, K.: Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning. (submitted)

Brodt, S.; Schönauer, M.; Seewald, A.; Beck, J.; Erb, M.; Scheffler, K.; Gais, S.: Memory systems integration in sleep complements rapid systems consolidation in wakefulness. (submitted)

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. (submitted)

Tuzzi, E.; Loktyushin, A.; Zeller, A.; Pohmann, R.; Laske, C.; Scheffler, K.; Hagberg, G.: Exploration of cortical ß-Amyloid load in Alzheimer’s disease using quantitative susceptibility mapping at 9.4T. (submitted)

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. (submitted)

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. (submitted)

Lohmann, G.; Loktyushin, A.; Stelzer, J.; Scheffler, K.: Eigenvector centrality mapping for ultrahigh resolution fMRI data of the human brain. (submitted)

Lohmann, G.; Stelzer, J.; Mueller, K.; Lacosse, E.; Buschmann, T.; Kumar, V.; Grodd, W.; Scheffler, K.: Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI. (submitted)