• Fast high-resolution electric properties tomography using three-dimensional quantitative transient-state imaging-based water fraction estimation (M. Cencini, M. Lancione, R. Pasquariello, L. Peretti, C. M. Pirkl, R. F. Schulte, G. Buonincontri, A. Arduino, L. Zilberti, L. Biagi, M. Tosetti), NMR in Biomedicine, 2023.
  • Motion-corrected model-based reconstruction for 2D myocardial T1 mapping (K. M. Kerkering, J. Schulz-Menger, T. Schaeffter, C. Kolbitsch), Magnetic Resonance in Medicine 90, 2023.
  • Repeatability and Reproducibility Uncertainty in Magnetic Resonance-Based Electric Properties Tomography of a Homogeneous Phantom (A. Arduino, F. Pennecchi, U. Katscher, M. Cox, L. Zilberti), Tomography 9, 2023.
  • Evaluation and Correction of B+1 -Based Brain Subject-Specific SAR Maps Using Electrical Properties Tomography (J. Martinez, A. Arduino, O. Bottauscio, L. Zilberti), IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, 2023.
  • Optimisation of data acquisition towards continuous cardiac Magnetic Resonance Fingerprinting applications (C. Gatefait, S. L. R. Ellison, S. Nyangoma, S. Schmitter, C. Kolbitsch), Physica Medica 105, 2023.
  • 3D model-based super-resolution motion-corrected cardiac T1 mapping (S. Hufnagel, S. Metzner, K. M. Kerkering, C. S. Aigner, A. Kofler, J. Schulz-Menger, T. Schaeffter, C. Kolbitsch), Physics in Medicine and Biology 67, 2022.
  • 3D Extrusion Printing of Biphasic Anthropomorphic Brain Phantoms Mimicking MR Relaxation Times Based on Alginate-Agarose-Carrageenan Blends (D. Kilian, W. Kilian, A. Troia, T. Nguyen, B. Ittermann, L. Zilberti, M. Gelinsky), ACS Applied Materials & Interfaces 14, 2022.
  • A comparison of two data analysis approaches for quantitative magnetic resonance imaging (S. Metzner, G. Wübbeler, C. Kolbitsch, C. Elster), Measurement Science and Technology 33, 2022.
  • Pilot tone-based prospective correction of respiratory motion for free-breathing myocardial T1 mapping (J. Ludwig, K. M. Kerkering, P. Speier, T. Schaeffter, C. Kolbitsch), Magnetic Resonance Materials in Physics, Biology and Medicine 205, 2021.
  • Bayesian Uncertainty Quantification for Magnetic Resonance Fingerprinting (S. Metzner, G. Wübbeler, S. Flassbeck, C. Gatefait, C. Kolbitsch, C. Elster), Physics in Medicine and Biology 66, 2021.
  • EPTlib: An Open-Source Extensible Collection of Electric Properties Tomography Techniques (A. Arduino), Applied Sciences 11, 2021.
  • Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging (P. A. Gómez, M. Cencini, M. Golbabaee, R. F. Schulte, C. Pirkl, I. Horvath, G. Fallo, L. Peretti, M. Tosetti, B. H. Menze, G. Buonincontri), Scientific Reports 10, 2020.
  • Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T (G. Buonincontri, J. W.Kurzawski, J. D. Kaggie, T. Matys, F. A. Gallagherd, M. Cencini, G. Donatelli, P. Cecchi, M. Cosottini, N. Martini, F. Frijia, D. Montanaro, P. A. Gómez, R. F. Schulte, A. Retico, M. Tosetti), NeuroImage 226, 2021.
  • Flexible numerical simulation framework for dynamic PET-MR data (J. Mayer, R. Brown, K. Thielemans, E. Ovtchinnikov, E. Pasca, D. Atkinson, A. Gillman, P. Marsden, M. Ippoliti, M. Makowski, T. Schaeffter, C. Kolbitsch), Physics in Medicine and Biology 65, 2020.
  • Uncertainty propagation in phaseless electric properties tomography (A. Arduino, O. Bottauscio, M. Chiampi, L. Zilberti), International Conference on Electromagnetics in Advanced Applications (ICEAA), 2019