Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences
Niklas Gunnarsson, "Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences." Uppsala University, 2024.
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Niklas Gunnarsson, "Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences." Uppsala University, 2024.
Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas Schön, "Online Learning in Motion Modeling for Intra-interventional Image Sequences." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024.
Niklas Gunnarsson, Uffe Bernchou, Faisal Mahmood, Anders Bertelsen, Peter Kimstrand, "Machine learning-based 3D deformable motion modeling for MRI-guided radiotherapy." Preprint, 2024.
Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas Schön, "Diffusion-Based 3D Motion Estimation from Sparse 2D Observations." Preprint, 2023.
Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas Schön, "Unsupervised dynamic modeling of medical image transformations." In the proceedings of 25th International Conference on Information Fusion (FUSION), 2022.
Alessa Hering, Lasse Hansen, Tony Mok, Albert Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, others, "Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning." IEEE Transactions on Medical Imaging, 2022.
Niklas Gunnarsson, "On the Registration and Modeling of Sequential Medical Images." Uppsala University, 2021.
Niklas Gunnarsson, Jens Sjölund, Thomas Schön, "Learning a Deformable Registration Pyramid." In the proceedings of Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2021.
Niklas Gunnarsson, Jens Sjölund, Thomas Schön, "Registration by tracking for sequential 2D MRI." Preprint, 2020.