Jens Sjölund
Jens Sjölund
Senior Research Scientist, Elekta Instrument AB
Verified email at elekta.com
Title
Cited by
Cited by
Year
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
1042015
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
722015
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
34*2019
Dose-volume histogram prediction using density estimation
JS Munter, J Sjölund
Physics in Medicine & Biology 60 (17), 6923, 2015
232015
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
112014
Bayesian uncertainty quantification in linear models for diffusion MRI
J Sjölund, A Eklund, E Özarslan, M Herberthson, M Bånkestad, ...
NeuroImage 175, 272-285, 2018
102018
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
92017
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
8*2019
System and method for automatic treatment planning
JO Sjölund, X Han
US Patent US10046177B2, 2018
72018
Systems and methods for optimizing treatment planning
JO Sjõlund
US Patent App. 14/976,735, 2017
42017
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
Proceedings of the International Society of Magnetic Resonance in Medicine, 2017
32017
A unified representation network for segmentation with missing modalities
K Lau, J Adler, J Sjölund
arXiv preprint arXiv:1908.06683, 2019
22019
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, 2020
12020
System and method for automatic treatment planning
JO Sjolund, X Han
US Patent 10,765,888, 2020
12020
Modality-agnostic method for medical image representation
JO Sjölund, JA Adler
US Patent 10,762,398, 2020
12020
Convex inverse planning method
J Sjölund, H Nordström
US Patent 10,744,343, 2020
12020
Method and system for calibration
J Sjölund
US Patent App. 15/302,414, 2017
12017
Dose planning from MRI using machine learning for automatic segmentation of skull and air
J Sjölund
12012
Convex inverse planning method
J Sjölund, H Nordström
US Patent App. 16/920,060, 2020
2020
Generation of realizable radiotherapy plans
JO Sjölund, JA Adler
US Patent App. 16/352,260, 2020
2020
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