Jan Rühaak
Cited by
Cited by
Highly accurate fast lung CT registration
J Rühaak, S Heldmann, T Kipshagen, B Fischer
Medical Imaging 2013: Image Processing 8669, 86690Y, 2013
Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration
J Rühaak, T Polzin, S Heldmann, IJA Simpson, H Handels, J Modersitzki, ...
IEEE transactions on medical imaging 36 (8), 1746-1757, 2017
The 2014 liver ultrasound tracking benchmark
V De Luca, T Benz, S Kondo, L König, D Lübke, S Rothlübbers, ...
Physics in Medicine & Biology 60 (14), 5571, 2015
A fast and accurate parallel algorithm for non-linear image registration using normalized gradient fields
L König, J Rühaak
2014 IEEE 11th international symposium on biomedical imaging (ISBI), 580-583, 2014
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
T Polzin, J Rühaak, R Werner, J Strehlow, S Heldmann, H Handels, ...
Fifth International Workshop on Pulmonary Image Analysis, 2013
A fully parallel algorithm for multimodal image registration using normalized gradient fields
J Rühaak, L König, M Hallmann, N Papenberg, S Heldmann, ...
2013 IEEE 10th International Symposium on Biomedical Imaging, 572-575, 2013
Parametric response mapping adds value to current computed tomography biomarkers in diagnosing chronic obstructive pulmonary disease
E Pompe, EM van Rikxoort, M Schmidt, J Rühaak, LG Estrella, ...
American journal of respiratory and critical care medicine 191 (9), 1084-1086, 2015
A non-linear image registration scheme for real-time liver ultrasound tracking using normalized gradient fields
L König, T Kipshagen, J Rühaak
Proc. MICCAI CLUST14, Boston, USA, 29-36, 2014
A matrix-free approach to parallel and memory-efficient deformable image registration
L König, J Rühaak, A Derksen, J Lellmann
SIAM Journal on Scientific Computing 40 (3), B858-B888, 2018
Analysis of variability in manual liver tumor delineation in CT scans
JH Moltz, S Braunewell, J Rühaak, F Heckel, S Barbieri, L Tautz, HK Hahn, ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Lung Registration Using Automatically Detected Landmarks.
T Polzin, J Rühaak, R Werner, H Handels, J Modersitzki
Methods of information in medicine 53 (4), 2014
Improving lung registration by incorporating anatomical knowledge: A variational approach
J Rühaak, S Heldmann, B Fischer
Fourth International Workshop on Pulmonary Image Analysis, MICCAI, 147-156, 2011
Highly efficient image registration for embedded systems using a distributed multicore DSP architecture
R Berg, L König, J Rühaak, R Lausen, B Fischer
Journal of Real-Time Image Processing 14 (2), 341-361, 2018
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study
J Rühaak, A Derksen, S Heldmann, M Hallmann, H Meine
Medical Imaging 2015: Image Processing 9413, 941337, 2015
Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy
K Stützer, R Haase, F Lohaus, S Barczyk, F Exner, S Löck, J Rühaak, ...
Medical physics 43 (9), 5028-5039, 2016
A matrix-free approach to efficient affine-linear image registration on CPU and GPU
J Rühaak, L König, F Tramnitzke, H Köstler, J Modersitzki
Journal of Real-Time Image Processing 13 (1), 205-225, 2017
GPU based affine linear image registration using normalized gradient fields
F Tramnitzke, J Rühaak, L König, J Modersitzki, H Köstler
Proc. Seventh International Workshop on High Performance Computing for …, 2014
Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver
J Strehlow, N Spahr, J Rühaak, H Laue, N Abolmaali, T Preusser, ...
International journal of computer assisted radiology and surgery 13 (4), 597-606, 2018
A novel adaptive scoring system for segmentation validation with multiple reference masks
JH Moltz, J Rühaak, HK Hahn, HO Peitgen
Medical Imaging 2011: Image Processing 7962, 796214, 2011
Matrix-free techniques for efficient image registration and their application to pulmonary image analysis
JR Rühaak
Jacobs University Bremen, 2017
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