Lars König - Fraunhofer MEVIS

Publications

2019

Budelmann D, König L, Papenberg N, Lellmann J (2019) Fully-Deformable 3D Image Registration in Two Seconds. Bildverarbeitung für die Medizin 2019. pp 302–307

2018

König L (2018) Matrix-free approaches for deformable image registration with large-scale and real-time applications inmedical imaging. Ph.D. thesis

König L, Rühaak J, Derksen A, Lellmann J (2018) A matrix-free approach to parallel and memory-efficient deformable image registration. SIAM J Sci Comput 40(3):B858–B888

2017

Rühaak J, König L, Tramnitzke F, Köstler H, Modersitzki J (2017) A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU. J Real-Time Image Proc 13(1):205–225

2016

Derksen A, König L, Meine H, Heldmann S (2016) A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy. Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC. American Association of Physicists in Medicine, 3429

König L, Derksen A, Papenberg N, Haas B (2016) Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints. Radiat Oncol 11(1):122

2015

De Luca V, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Bell MAL, Chung DYF, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab N, Rühaak J, Schwaab J, Tanner C (2015) The 2014 liver ultrasound tracking benchmark. Phys Med Biol 60(14):5571–5599

König L, Derksen A, Heldmann S, Papenberg N, Modersitzki J, Haas B (2015) OC-0409: Deformable image registration with guaranteed local rigidity. Radiotherapy and Oncology: Proceedings of the 3rd ESTRO Forum. pp S197–S198

Koenig L, Derksen A, Hallmann M, Papenberg N (2015) Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. New York City, USA

Papenberg N, König L, Heldmann S, Derksen A, Modersitzki J, Haas B (2015) A Locally Variable Transformation Model for Deformable Image Registration Using Tissue Properties. Varian Research Partnership Symposium. Atlanta, Georgia, USA

2014

Berg R, König L, Rühaak J, Lausen R, Fischer B (2014) Highly Efficient Image Registration for Embedded Systems Using a Distributed Multicore DSP Architecture. J Real-Time Image Proc 1–21

König L, Rühaak J (2014) A Fast and Accurate Parallel Algorithm for Non-Linear Image Registration using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Beijing, China, pp 580–583

König L, Kipshagen T, Rühaak J (2014) A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields. Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014). Boston, USA, pp 29–36

Tramnitzke F, Rühaak J, König L, Modersitzki J, Köstler H (2014) GPU Based Affine Linear Image Registration using Normalized Gradient Fields. Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI). Boston, USA, pp 5–14

2013

König L, Papenberg N, Haas B, Modersitzki J (2013) Deformable Registration for Adaptive Radiotherapy with Guaranteed Local Rigidity Constraints. Varian Research Partnership Symposium. Atlanta, Georgia, USA

Rühaak J, König L, Hallmann M, Papenberg N, Heldmann S, Schumacher H, Fischer B (2013) A Fully Parallel Algorithm for Multimodal Image Registration Using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. San Francisco, California, USA, pp 572–575

(Alumnus)