Volgen
Jens Sjölund
Jens Sjölund
Assistant Professor at Uppsala University
Geverifieerd e-mailadres voor it.uu.se - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
1582015
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
1462015
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
92*2019
Dose-volume histogram prediction using density estimation
JS Munter, J Sjölund
Physics in Medicine & Biology 60 (17), 6923, 2015
362015
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
342019
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
322022
Systems and methods for optimizing treatment planning
JO Sjölund
US Patent 11,056,243, 2021
242021
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
182021
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
182014
System and method for automatic treatment planning
JO Sjölund, X Han
US Patent US10046177B2, 2018
122018
Bayesian uncertainty quantification in linear models for diffusion MRI
J Sjölund, A Eklund, E Özarslan, M Herberthson, M Bånkestad, ...
NeuroImage 175, 272-285, 2018
122018
A unified representation network for segmentation with missing modalities
K Lau, J Adler, J Sjölund
arXiv preprint arXiv:1908.06683, 2019
112019
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
102017
Learning a deformable registration pyramid
N Gunnarsson, J Sjölund, TB Schön
International Conference on Medical Image Computing and Computer-Assisted …, 2020
72020
Modality-agnostic method for medical image representation
JO Sjölund, JA Adler
US Patent 10,762,398, 2020
72020
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
6*2022
Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI
F Szczepankiewicz, J Sjölund
Journal of Magnetic Resonance 328, 106991, 2021
62021
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
42017
Radiotherapy planning systems
J Sjolund
US Patent 10,946,215, 2021
32021
Registration by tracking for sequential 2D MRI
N Gunnarsson, J Sjölund, TB Schön
arXiv preprint arXiv:2003.10819, 2020
32020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20