Jens Sjölund
Jens Sjölund
Assistant Professor at Uppsala University
Verified email at - Homepage
Cited by
Cited by
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
Generating patient specific pseudo-CT of the head from MR using atlas-based regression
J Sjölund, D Forsberg, M Andersson, H Knutsson
Physics in medicine and biology 60 (2), 825, 2015
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
A linear programming approach to inverse planning in Gamma Knife radiosurgery
J Sjölund, S Riad, M Hennix, H Nordström
Medical physics 46 (4), 1533-1544, 2019
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging, 2022
Dose-volume histogram prediction using density estimation
JS Munter, J Sjölund
Physics in Medicine & Biology 60 (17), 6923, 2015
Systems and methods for optimizing treatment planning
JO Sjölund
US Patent 11,056,243, 2021
Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization
F Szczepankiewicz, J Sjölund, E Dall’Armellina, S Plein, JE Schneider, ...
Magnetic resonance in medicine 85 (4), 2117-2126, 2021
Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features
J Sjölund, AE Järliden, M Andersson, H Knutsson, H Nordström
Pattern Recognition (ICPR), 2014 22nd International Conference on, 3274-3279, 2014
A unified representation network for segmentation with missing modalities
K Lau, J Adler, J Sjölund
arXiv preprint arXiv:1908.06683, 2019
System and method for automatic treatment planning
JO Sjölund, X Han
US Patent US10046177B2, 2018
Bayesian uncertainty quantification in linear models for diffusion MRI
J Sjölund, A Eklund, E Özarslan, M Herberthson, M Bånkestad, ...
NeuroImage 175, 272-285, 2018
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
J Sjölund, A Eklund, E Özarslan, H Knutsson
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Learning a deformable registration pyramid
N Gunnarsson, J Sjölund, TB Schön
Segmentation, Classification, and Registration of Multi-modality Medical …, 2021
Modality-agnostic method for medical image representation
JO Sjölund, JA Adler
US Patent 10,762,398, 2020
Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI
F Szczepankiewicz, J Sjölund
Journal of Magnetic Resonance 328, 106991, 2021
Private Learning Via Knowledge Transfer with High-Dimensional Targets
D Fay, J Sjölund, TJ Oechtering
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Radiotherapy treatment plans using differentiable dose functions
JO Sjölund
US Patent 11,097,128, 2021
Whole-brain diffusional variance decomposition (DIVIDE) in 8 minutes: Technical feasibility at 1.5, 3, and 7 T
F Szczepankiewicz, J Sjölund, F Ståhlberg, J Lätt, M Nilsson
Proc. Intl. Soc. Mag. Reson. Med 25, 3503, 2017
Method and system for calibration
J Sjölund
US Patent 11,179,134, 2021
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