| Q-space trajectory imaging for multidimensional diffusion MRI of the human brain CF Westin, H Knutsson, O Pasternak, F Szczepankiewicz, E Özarslan, ... Neuroimage 135, 345-362, 2016 | 429 | 2016 |
| Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors F Szczepankiewicz, S Lasic, D van Westen, PC Sundgren, E Englund, ... NeuroImage 104, 241-252, 2015 | 340 | 2015 |
| Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector S Lasič, F Szczepankiewicz, S Eriksson, M Nilsson, D Topgaard Frontiers in Physics 2, 11, 2014 | 334 | 2014 |
| Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: a model comparison using spherical tensor encoding B Lampinen, F Szczepankiewicz, J Mårtensson, D van Westen, ... Neuroimage 147, 517-531, 2017 | 266 | 2017 |
| The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE) F Szczepankiewicz, D van Westen, E Englund, CF Westin, F Ståhlberg, ... Neuroimage 142, 522-532, 2016 | 242 | 2016 |
| Constrained optimization of gradient waveforms for generalized diffusion encoding J Sjölund, F Szczepankiewicz, M Nilsson, D Topgaard, CF Westin, ... Journal of magnetic resonance 261, 157-168, 2015 | 216 | 2015 |
| Maxwell‐compensated design of asymmetric gradient waveforms for tensor‐valued diffusion encoding F Szczepankiewicz, CF Westin, M Nilsson Magnetic Resonance in Medicine, https://doi.org/10.1002/mrm.27828, 2019 | 163* | 2019 |
| Searching for the neurite density with diffusion MRI: challenges for biophysical modeling B Lampinen, F Szczepankiewicz, M Novén, D van Westen, O Hansson, ... Human brain mapping 40 (8), 2529-2545, 2019 | 141 | 2019 |
| Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems F Szczepankiewicz, J Sjölund, F Ståhlberg, J Lätt, M Nilsson PloS one 14 (3), e0214238, 2019 | 135* | 2019 |
| Optimal experimental design for filter exchange imaging: Apparent exchange rate measurements in the healthy brain and in intracranial tumors B Lampinen, F Szczepankiewicz, D van Westen, E Englund, ... Magnetic resonance in medicine 77 (3), 1104-1114, 2017 | 110* | 2017 |
| Measurement tensors in diffusion MRI: generalizing the concept of diffusion encoding CF Westin, F Szczepankiewicz, O Pasternak, E Özarslan, D Topgaard, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 109 | 2014 |
| The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain CMW Tax, F Szczepankiewicz, M Nilsson, DK Jones Neuroimage 210, 116534, 2020 | 106 | 2020 |
| Extrapolation-based references improve motion and eddy-current correction of high B-value DWI data: application in Parkinson’s disease dementia M Nilsson, F Szczepankiewicz, D van Westen, O Hansson PloS one 10 (11), e0141825, 2015 | 101 | 2015 |
| Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding B Lampinen, F Szczepankiewicz, J Mårtensson, D van Westen, ... Magnetic resonance in medicine 84 (3), 1605-1623, 2020 | 100 | 2020 |
| Tensor‐valued diffusion MRI in under 3 minutes: an initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors M Nilsson, F Szczepankiewicz, J Brabec, M Taylor, CF Westin, A Golby, ... Magnetic Resonance in Medicine, 1-13, 2019 | 93 | 2019 |
| Variability in diffusion kurtosis imaging: impact on study design, statistical power and interpretation F Szczepankiewicz, J Lätt, R Wirestam, A Leemans, P Sundgren, ... Neuroimage 76, 145-154, 2013 | 88 | 2013 |
| Imaging brain tumour microstructure M Nilsson, E Englund, F Szczepankiewicz, D van Westen, PC Sundgren Neuroimage 182, 232-250, 2018 | 86 | 2018 |
| An open-source framework for analysis of multidimensional diffusion MRI data implemented in MATLAB M Nilsson, F Szczepankiewicz, B Lampinen, A Ahlgren, ... Proc Intl Soc Mag Reson Med 26, 5355, 2018 | 79 | 2018 |
| Disentangling white-matter damage from physiological fibre orientation dispersion in multiple sclerosis KW Andersen, S Lasič, H Lundell, M Nilsson, D Topgaard, F Sellebjerg, ... Brain communications 2 (2), fcaa077, 2020 | 78 | 2020 |
| Gradient waveform design for tensor-valued encoding in diffusion MRI F Szczepankiewicz, CF Westin, M Nilsson Journal of Neuroscience Methods 348 (https://doi.org/10.1016/j.jneumeth.2020), 2021 | 77 | 2021 |
Markus NilssonAssociate professor, Department of Diagnostic Radiology, Lund UniversityVerified email at med.lu.se