| Q-space trajectory imaging with positivity constraints (QTI+) M Herberthson, D Boito, TD Haije, A Feragen, CF Westin, E Özarslan NeuroImage 238, 118198, 2021 | 14 | 2021 |
| Multidimensional diffusion MRI methods with confined subdomains D Boito, C Yolcu, E Özarslan Frontiers in Physics 10, 830274, 2022 | 6 | 2022 |
| Applying positivity constraints to q-space trajectory imaging: The QTI+ implementation D Boito, M Herberthson, TD Haije, E Özarslan SoftwareX 18, 101030, 2022 | 5 | 2022 |
| MRI with generalized diffusion encoding reveals damaged white matter in patients previously hospitalized for COVID-19 and with persisting symptoms at follow-up D Boito, A Eklund, A Tisell, R Levi, E Özarslan, I Blystad Brain Communications 5 (6), fcad284, 2023 | 4 | 2023 |
| Diffusivity-limited q-space trajectory imaging D Boito, M Herberthson, TD Haije, I Blystad, E Özarslan Magnetic Resonance Letters 3 (2), 187-196, 2023 | 3 | 2023 |
| Enforcing positivity constraints in q-space trajectory imaging (QTI) allows for reduced scan time D Boito, M Herberthson, TD Haije, E Özarslan Proc intl soc mag reson med 29, 0404, 2021 | 2 | 2021 |
| Compartment-specific Diffusivity: A New Dimension in Multidimensional Diffusion MRI D Boito, C Yolçu, E Özarslan Proc Intl Soc Mag Reson Med 28, 4442, 2020 | 1 | 2020 |
| Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests C Trenti, D Boito, F Hammaréus, A Eklund, E Swahn, L Jonasson, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Diffusion within pores fully revealed by magnetic resonance E Özarslan, C Yolcu, A Ordinola, D Boito, T Dela Haije, ... The Journal of Chemical Physics 158 (16), 2023 | | 2023 |
| Diffusion MRI with generalised gradient waveforms: methods, models, and neuroimaging applications D Boito Linköping University Electronic Press, 2023 | | 2023 |
| Assessment of Divergence Free Wavelet Transform Filtering of 4D flow MRI Data for Cardiovascular Applications D Boito | | 2018 |
| Q-space trajectory imaging with positivity constraints: a machine learning approach D Boito, E Özarslan | | |
| Propagator-sensitive diffusion measurements hear the percussion ensemble E Özarslan, D Boito, A Ordinola | | |
| QTI+: a constrained estimation framework for q-space trajectory imaging M Herberthson, TD Haije, D Boito, A Feragen, CF Westin, E Özarslan | | |
Evren ÖzarslanDepartment of Biomedical Engineering, Linköping University在 liu.se 的电子邮件经过验证
