Publications of K Scheffler

Hennig, J.; Scheffler, K.; Speck, O.: Method for measuring the magnetic resonance (NMR) by steady state signals (SSFP). US6677750B2 (2004)

Charyasz, E.; Erb, M.; Bause, J.; Heule, R.; Bender, B.; Kumar, V.; Grodd, W.; Scheffler, K.: Functional connectivity of thalamic nuclei during sensorimotor task-based fMRI at 9.4 Tesla. (submitted)

Iyyappan Valsala, P.; Pohmann, R.; Heule, R.; Solomakha, G.; Avdievich, N.; Engelmann, J.; Kuebler, L.; Martins, R.; Scheffler, K.: High-resolution deuterium metabolic imaging of the human brain at 9.4 T using bSSFP spectral-spatial acquisitions. (submitted)

Buckenmaier, K.; Neumann, R.; Bullinger, F.; Kempf, N.; Povolni, P.; Engelmann, J.; Samlow, J.; Hövener, J.-B.; Scheffler, K.; Ortmeier, A. et al.; Plaumann, M.; Körber, R.; Theis, T.; Pravdivtsev, A.: Indirect Zero Field NMR Spectroscopy. (submitted)

Ramadan, D.; Mueller, S.; Stirnberg, R.; Bosch, D.; Ehses, P.; Scheffler, K.; Bause, J.: Macrovascular contributions to resting-state fMRI signals: A comparison between EPI and bSSFP at 9.4 Tesla. (submitted)

Mahler, L.; Steiglechner, J.; Bender, B.; Lindig, T.; Ramadan, D.; Bause, J.; Birk, F.; Heule, R.; Charyasz, E.; Erb, M. et al.; Kumar, V.; Hagberg, G.; Martin, P.; Lohmann, G.; Scheffler, K.: UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations. (submitted)

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)