Jens Sjölund

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Filip SzczepankiewiczLund University, Lund, SwedenVerified email at med.lu.se
Hans KnutssonProfessor of medical informaticsVerified email at liu.se
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Markus NilssonAssociate professor, Department of Diagnostic Radiology, Lund UniversityVerified email at med.lu.se
Zheng ZhaoUppsala UniversityVerified email at it.uu.se
Carl-Fredrik WestinProfessor, Harvard Medical SchoolVerified email at bwh.harvard.edu
Jimmy LättVerified email at med.lu.se
Freddy StahlbergProfessor, Lund UniversityVerified email at med.lu.se
Jonas AdlerStaff Research Scientist, Google DeepMindVerified email at google.com
Daniel TopgaardProfessor of Physical Chemistry, Lund UniversityVerified email at fkem1.lu.se
Niklas GunnarssonPHD Uppsala UniversityVerified email at it.uu.se
Maria BånkestadUppsala UniversityVerified email at it.uu.se
Daniel ForsbergAI Lead and Product Owner Radiology AI, Sectra Imaging IT Solutions ABVerified email at sectra.com
Fredrik K. GustafssonPhD Student, Uppsala UniversityVerified email at it.uu.se
Ziwei LuoPhD Student at Uppsala UniversityVerified email at it.uu.se
Anders EklundAssociate professor Biomedical Engineering, Linköping UniversityVerified email at liu.se
Dominik FayPhD student, KTH Royal Institute of TechnologyVerified email at kth.se
Evren ÖzarslanDepartment of Biomedical Engineering, Linköping UniversityVerified email at liu.se
Tobias J. OechteringKTH Royal Institute of Technology, Division Information Science and EngineeringVerified email at kth.se
Xiao HanSenior Scientist, Elekta Inc.; Principal Scientist, Tencent Inc.Verified email at elekta.com

Jens Sjölund

Other namesJens Sjolund, Jens Olof Sjölund

Assistant Professor at Uppsala University

Verified email at it.uu.se - Homepage

machine learning optimization radiotherapy diffusion MRI


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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	199	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	162	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	112*	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 42 (3), 697-712, 2022	88	2022
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	45	2019
Systems and methods for optimizing treatment planning JO Sjölund US Patent 11,056,243, 2021	43	2021
Dose-volume histogram prediction using density estimation JS Munter, J Sjölund Physics in Medicine & Biology 60 (17), 6923, 2015	39	2015
NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	26	2023
A unified representation network for segmentation with missing modalities K Lau, J Adler, J Sjölund arXiv preprint arXiv:1908.06683, 2019	26	2019
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	25	2021
Image restoration with mean-reverting stochastic differential equations Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön International Conference on Machine Learning (ICML), PMLR 202, 23045-23066, 2023	22	2023
System and method for automatic treatment planning JO Sjölund, X Han US Patent US10046177B2, 2018	18	2018
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report MV Conde, M Kolmet, T Seizinger, TE Bishop, R Timofte, X Kong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	17	2023
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	17	2014
NTIRE 2023 image shadow removal challenge report FA Vasluianu, T Seizinger, R Timofte, S Cui, J Huang, S Tian, M Fan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	16	2023
Bayesian uncertainty quantification in linear models for diffusion MRI J Sjölund, A Eklund, E Özarslan, M Herberthson, M Bånkestad, ... NeuroImage 175, 272-285, 2018	16	2018
Refusion: Enabling large-size realistic image restoration with latent-space diffusion models Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	12	2023
Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI F Szczepankiewicz, J Sjölund Journal of magnetic resonance 328, 106991, 2021	12	2021
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	11	2017
Learning a deformable registration pyramid N Gunnarsson, J Sjölund, TB Schön International Conference on Medical Image Computing and Computer-Assisted …, 2020	10	2020

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