Publications of K Scheffler

Bieri, O.; Scheffler, K.: Generation of Magnetization Transfer Contrast in Steady State Free Precession Magnetic Resonance Imaging. US20070257672A1 (2007)

Bieri, O.; Scheffler, K.: Method for detection and imaging of synchronous spin and charged particle motion. US7259558B2 (2006)

Bieri, O.; Scheffler, K.: Generic eddy-current compensation in magnetic resonance imaging. US20050258829A1 (2005)

Scheffler, K.: Magnetic field sensor-based navigation system to track MR image-guided interventional procedures. US20050245811A1 (2005)

Scheffler, K.; Seifritz, E.: Low-impact noise acquisition magnetic resonance imaging. US20050242810A1 (2005)

Seifritz, E.; Scheffler, K.; Lüthi, A.: Translational sensory stimulation procedure for the stimulation of amygdala-hippocampal complex. US20050222639A1 (2005)

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

Solomakha, G.; Pohmann, R.; Glang, F.; Mueller, S.; Valsala, P.; Platt, T.; Orzada, S.; Ladd, M.; Korzovski, A.; Scheffler, K. et al.; Avdievich, N.: Dual-Tuned 31P-1H Dual-Row Loop/Dipole 32-element Transceiver Array for Human Brain Spectroscopy at 9.4T. (submitted)

Povolni, P.; Goerner, D.; Iyyappan Valsala, P.; Gebert, L.; Solomakha, G.; Kempf, N.; Glang, F.; Samlow, J.; Schnitzler, R.; Kallfass, I. et al.; Buckenmaier, K.; Scheffler, K.: Overcoming the limitations of NMR Field Probes: A Novel Integrated Sensor Utilizing Pre-Polarization for (Ultra) Low Field MRI. (submitted)

Tian, R.; Scheffler, K.: Group-patch joint compression for highly accelerated MRI: compressing dynamic B 0 and static RF spatial modulations across k-space subregion groups. (submitted)

Tian, R.; Uecker, M.; Holder, O.; Povolni, P.; Steffen, T.; Scheffler, K.: Group-kernel auto-calibration and group-patch k-space reconstruction: Fast MRI with time-variant B 0 kernels partitioned into time-invariant subsets. (submitted)

Klinkowski, S.; Seewald, A.; Fath, B.; Kasties, V.; Iliopoulos, P.; Schmidt, S.; Voss, F.; Erb, M.; Scheffler, K.; Gais, S. et al.; Brodt, S.: Direct encoding of new visual concepts in early visual cortex. (submitted)

Teckentrup, V.; Ludwig, M.; Seibt, J.; Hartig, R.; Preissl, H.; Schuppert, M.; Avdievich, N.; Scheffler, K.; Priovoulos, N.; Ehses, M. et al.; Poser, B.; Wiggins, C.; Trautner, P.; Honerbach, W.; Jacobs, H.; Speck, O.; Hämmerer, D.; Kroemer, N.: Assessing a stimulator modification for simultaneous non-invasive auricular vagus nerve stimulation and magnetic resonance imaging. (submitted)

Lohmann, G.; Steiglechner, J.; Mahler, L.; Scheffler, K.: Beyond ROIs: Laminar fMRI Mapping with Cylarim. (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)

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)