| Gray-level invariant Haralick texture features T Löfstedt, P Brynolfsson, T Asklund, T Nyholm, A Garpebring PloS one 14 (2), e0212110, 2019 | 194 | 2019 |
| Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters P Brynolfsson, D Nilsson, T Torheim, T Asklund, CT Karlsson, J Trygg, ... Scientific reports 7 (1), 4041, 2017 | 173 | 2017 |
| ADC texture—an imaging biomarker for high‐grade glioma? P Brynolfsson, D Nilsson, R Henriksson, J Hauksson, M Karlsson, ... Medical physics 41 (10), 101903, 2014 | 96 | 2014 |
| Improved quality of computed tomography substitute derived from magnetic resonance (MR) data by incorporation of spatial information–potential application for MR-only … A Johansson, A Garpebring, M Karlsson, T Asklund, T Nyholm Acta oncologica 52 (7), 1369-1373, 2013 | 74 | 2013 |
| Internal fiducial markers and susceptibility effects in MRI—simulation and measurement of spatial accuracy JH Jonsson, A Garpebring, MG Karlsson, T Nyholm International Journal of Radiation Oncology* Biology* Physics 82 (5), 1612-1618, 2012 | 59 | 2012 |
| Effects of inflow and radiofrequency spoiling on the arterial input function in dynamic contrast‐enhanced MRI: a combined phantom and simulation study A Garpebring, R Wirestam, N Östlund, M Karlsson Magnetic resonance in medicine 65 (6), 1670-1679, 2011 | 53 | 2011 |
| A novel estimation method for physiological parameters in dynamic contrast-enhanced MRI: application of a distributed parameter model using Fourier-domain calculations A Garpebring, N Ostlund, M Karlsson IEEE Transactions on Medical Imaging 28 (9), 1375-1383, 2009 | 44 | 2009 |
| Dosimetric impact of MRI distortions: a study on head and neck cancers M Adjeiwaah, M Bylund, JA Lundman, K Söderström, B Zackrisson, ... International Journal of Radiation Oncology* Biology* Physics 103 (4), 994-1003, 2019 | 36 | 2019 |
| Phase-based arterial input functions in humans applied to dynamic contrast-enhanced MRI: potential usefulness and limitations A Garpebring, R Wirestam, J Yu, T Asklund, M Karlsson Magnetic Resonance Materials in Physics, Biology and Medicine 24, 233-245, 2011 | 31 | 2011 |
| CT substitutes derived from MR images reconstructed with parallel imaging A Johansson, A Garpebring, T Asklund, T Nyholm Medical physics 41 (8Part1), 082302, 2014 | 29 | 2014 |
| Uncertainty estimation in dynamic contrast‐enhanced MRI A Garpebring, P Brynolfsson, J Yu, R Wirestam, A Johansson, T Asklund, ... Magnetic resonance in medicine 69 (4), 992-1002, 2013 | 28 | 2013 |
| Patient-induced susceptibility effects simulation in magnetic resonance imaging JA Lundman, M Bylund, A Garpebring, CT Karlsson, T Nyholm Physics and Imaging in Radiation Oncology 1, 41-45, 2017 | 20 | 2017 |
| Assessing cerebral arterial pulse wave velocity using 4D flow MRI C Björnfot, A Garpebring, S Qvarlander, J Malm, A Eklund, A Wåhlin Journal of Cerebral Blood Flow & Metabolism 41 (10), 2769-2777, 2021 | 18 | 2021 |
| Density estimation of grey-level co-occurrence matrices for image texture analysis A Garpebring, P Brynolfsson, P Kuess, D Georg, TH Helbich, T Nyholm, ... Physics in Medicine & Biology 63 (19), 195017, 2018 | 15 | 2018 |
| Registration accuracy for MR images of the prostate using a subvolume based registration protocol JH Jonsson, P Brynolfsson, A Garpebring, M Karlsson, K Söderström, ... Radiation Oncology 6, 1-5, 2011 | 15 | 2011 |
| 7 Tesla MRA for the differentiation between intracranial aneurysms and infundibula MJH Wermer, MAA van Walderveen, A Garpebring, MJP van Osch, ... Magnetic Resonance Imaging 37, 16-20, 2017 | 13 | 2017 |
| A generalized network for MRI intensity normalization A Simkó, T Löfstedt, A Garpebring, T Nyholm, J Jonsson arXiv preprint arXiv:1909.05484, 2019 | 12 | 2019 |
| Statistical learning in computed tomography image estimation FL Bayisa, X Liu, A Garpebring, J Yu Medical physics 45 (12), 5450-5460, 2018 | 12 | 2018 |
| A Monte Carlo study of the dependence of early frame sampling on uncertainty and bias in pharmacokinetic parameters from dynamic PET I Häggström, J Axelsson, CR Schmidtlein, M Karlsson, A Garpebring, ... Journal of nuclear medicine technology 43 (1), 53-60, 2015 | 12 | 2015 |
| A comparison of navigators, snap‐shot field monitoring, and probe‐based field model training for correcting B0‐induced artifacts in ‐weighted images at 7 T J Wezel, VO Boer, TA van der Velden, AG Webb, DWJ Klomp, MJ Versluis, ... Magnetic Resonance in Medicine 78 (4), 1373-1382, 2017 | 11 | 2017 |
