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
Markus NilssonAssociate professor, Department of Diagnostic Radiology, Lund UniversityVerified email at med.lu.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 AdlerSenior Research Scientist, Google DeepMindVerified email at google.com
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Daniel TopgaardProfessor of Physical Chemistry, Lund UniversityVerified email at fkem1.lu.se
Daniel ForsbergAI Lead and Product Owner Radiology AI, Sectra Imaging IT Solutions ABVerified email at sectra.com
Niklas GunnarssonPHD Uppsala UniversityVerified email at it.uu.se
Anders EklundAssociate professor, Linköping UniversityVerified email at liu.se
Maria BånkestadUppsala UniversityVerified email at it.uu.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
Dominik FayPhD student, KTH Royal Institute of TechnologyVerified email at kth.se
Irvin TehSenior Research Fellow, University of LeedsVerified email at leeds.ac.uk
Jurgen E. SchneiderProfessor of Biomedical Imaging, University of Leeds, UKVerified email at leeds.ac.uk
Magnus HerberthsonProfessor of Mathematics, Linköping UniversityVerified email at liu.se

Jens 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	166	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	144	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	95*	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	38	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	35	2022
Dose-volume histogram prediction using density estimation JS Munter, J Sjölund Physics in Medicine & Biology 60 (17), 6923, 2015	35	2015
Systems and methods for optimizing treatment planning JO Sjölund US Patent 11,056,243, 2021	29	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	19	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	17	2014
A unified representation network for segmentation with missing modalities K Lau, J Adler, J Sjölund arXiv preprint arXiv:1908.06683, 2019	12	2019
System and method for automatic treatment planning JO Sjölund, X Han US Patent US10046177B2, 2018	12	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	12	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	10	2017
Learning a deformable registration pyramid N Gunnarsson, J Sjölund, TB Schön Segmentation, Classification, and Registration of Multi-modality Medical …, 2021	8	2021
Modality-agnostic method for medical image representation JO Sjölund, JA Adler US Patent 10,762,398, 2020	8	2020
Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI F Szczepankiewicz, J Sjölund Journal of Magnetic Resonance 328, 106991, 2021	6	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	5*	2022
Radiotherapy treatment plans using differentiable dose functions JO Sjölund US Patent 11,097,128, 2021	4	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	4	2017
Method and system for calibration J Sjölund US Patent 11,179,134, 2021	3	2021

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