| Segmentation of medical images using adaptive region growing R Pohle, KD Toennies Medical Imaging 2001: Image Processing 4322, 1337-1346, 2001 | 541 | 2001 |
| Guide to medical image analysis KD Toennies Springer-Verlag London Ltd., 2017 | 238* | 2017 |
| Grundlagen der Bildverarbeitung KD Toennies Pearson Studium, 2005 | 170 | 2005 |
| A new approach for model-based adaptive region growing in medical image analysis R Pohle, KD Toennies Computer Analysis of Images and Patterns, 238-246, 2001 | 116 | 2001 |
| Registration of 3D objects and surfaces KD Toennies, JK Udupa, GT Herman, ILIII Wornom, SR Buchman Computer Graphics and Applications, IEEE 10 (3), 52-62, 1990 | 106 | 1990 |
| Line detection and segmentation in historical church registers M Feldbach, KD Toennies Document Analysis and Recognition, 2001. Proceedings. Sixth International …, 2001 | 96 | 2001 |
| Autotracking of faults on 3D seismic data F Admasu, S Back, K Toennies Geophysics 71 (6), A49-A53, 2006 | 80 | 2006 |
| Feasibility of hough-transform-based iris localisation for real-time-application KD Toennies, F Behrens, M Aurnhammer Pattern Recognition, 2002. Proceedings. 16th International Conference on 2 …, 2002 | 76 | 2002 |
| Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry O Gloger, KD Toennies, V Liebscher, B Kugelmann, R Laqua, H Volzke Medical Imaging, IEEE Transactions on 31 (2), 312-325, 2012 | 69 | 2012 |
| Distance based enhancement for focal region based volume rendering J Zhou, A Döring, KD Toennies Proceedings of Bildverarbeitung für die Medizin, 199-203, 2004 | 55 | 2004 |
| Focal region-guided feature-based volume rendering J Zhou, M Hinz, KD Toennies 3D Data Processing Visualization and Transmission, 2002. Proceedings. First …, 2002 | 53 | 2002 |
| Detection and segmentation of clustered objects by using iterative classification, segmentation, and Gaussian mixture models and application to wood log detection C Herbon, K Tönnies, B Stock Pattern Recognition, Lecture Notes in Computer Science 8753, 354-364, 2014 | 49 | 2014 |
| Stable dynamic 3D shape models L Dornheim, KD Toennies, J Dornheim Image Processing, 2005. ICIP 2005. IEEE International Conference on 3, III …, 2005 | 46 | 2005 |
| A genetic algorithm for automated horizon correlation across faults in seismic images M Aurnhammer, KD Toennies Evolutionary Computation, IEEE Transactions on 9 (2), 201-210, 2005 | 46 | 2005 |
| A visual analytics approach to diagnosis of breast DCE-MRI data S Glaßer, U Preim, KD Toennies, B Preim Computers & Graphics 34 (5), 602-611, 2010 | 44 | 2010 |
| Automatic segmentation of the left ventricle in 3D SPECT data by registration with a dynamic anatomic model L Dornheim, KD Toennies, K Dixon Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, 335-342, 2005 | 40 | 2005 |
| Volume rendering for interactive 3D segmentation KD Toennies, C Derz Medical Imaging 1997: Image Display 3031, 602-609, 1997 | 40 | 1997 |
| Segmentation of multiple sclerosis lesions from MR brain images using the principles of fuzzy-connectedness and artificial neuron networks F Admasu, S Al-Zubi, KD Toennies, N Bodammer, H Hinrichs Image Processing, 2003. ICIP 2003. Proceedings. 2003 International …, 2003 | 39 | 2003 |
| Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI M Rak, J Steffen, A Meyer, C Hansen, KD Tönnies Computer Methods and Programs in Biomedicine 177, 47-56, 2019 | 36 | 2019 |
| Vertebral body segmentation in wide range clinical routine spine MRI data G Hille, S Saalfeld, S Serowy, K Tönnies Computer methods and programs in biomedicine 155, 93-99, 2018 | 34 | 2018 |
