532 citations
- KTH Royal Institute of TechnologySE3 papers
- Linköping UniversitySE3 papers
- Uppsala UniversitySE2 papers
- Delft University of TechnologyNL1 paper
- Dutch Expert Centre for ScreeningNL1 paper
- Halmstad UniversitySE1 paper
- Lund UniversitySE1 paper
- Radboud University Medical CenterNL1 paper
- Radboud University NijmegenNL1 paper
- Skåne University HospitalSE1 paper
- Sunnybrook Health Science CentreCA1 paper
- Swedish Institute of Computer ScienceSE1 paper
10 papers
Online learning in motion modeling for intra-interventional image sequences
Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand +1
Image monitoring and guidance during medical examinations can aid both diagnosis and treatment. However, the sampling frequency is often too low, which creates a need to estimate t…
Unsupervised dynamic modeling of medical image transformation
Niklas Gunnarsson, Peter Kimstrand, Jens Sjölund +1
Spatiotemporal imaging has applications in e.g. cardiac diagnostics, surgical guidance, and radiotherapy monitoring, In this paper, we explain the temporal motion by identifying th…
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction
Nikita Moriakov, Koen Michielsen, Jonas Adler +3
Digital breast tomosynthesis is rapidly replacing digital mammography as the basic x-ray technique for evaluation of the breasts. However, the sparse sampling and limited angular r…
Simultaneous optimization of isocenter locations and sector duration in radiosurgery
Mucahit Cevik, Dionne Aleman, Young Lee +5
Stereotactic radiosurgery is an effective technique to treat brain tumors for which several inverse planning methods may be appropriate. We propose an integer programming model to…
A linear programming approach to inverse planning in Gamma Knife radiosurgery
Jens Sjölund, Stella Riad, Marcus Hennix +1
Leksell Gamma Knife is a stereotactic radiosurgery system that allows fine-grained control of the delivered dose distribution. We describe a new inverse planning approach that both…
A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images
Awais Ashfaq, Jonas Adler
CBCT images suffer from acute shading artifacts primarily due to scatter. Numerous image-domain correction algorithms have been proposed in the literature that use patient-specific…