| Statistical shape models for 3D medical image segmentation: a review T Heimann, HP Meinzer Medical image analysis 13 (4), 543-563, 2009 | 1748 | 2009 |
| Statistical shape models for 3D medical image segmentation T Heimann VDM-Verlag Müller, 2008 | 1748* | 2008 |
| Comparison and evaluation of methods for liver segmentation from CT datasets T Heimann, B Van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ... IEEE transactions on medical imaging 28 (8), 1251-1265, 2009 | 1235 | 2009 |
| SVF-Net: learning deformable image registration using shape matching MM Rohé, M Datar, T Heimann, M Sermesant, X Pennec International conference on medical image computing and computer-assisted …, 2017 | 350 | 2017 |
| 3D segmentation in the clinic: A grand challenge B Van Ginneken, T Heimann, M Styner MICCAI workshop on 3D segmentation in the clinic: a grand challenge 1, 7-15, 2007 | 228 | 2007 |
| A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation T Heimann, S Münzing, HP Meinzer, I Wolf Biennial International Conference on Information Processing in Medical …, 2007 | 154 | 2007 |
| 3D active shape models using gradient descent optimization of description length T Heimann, I Wolf, T Williams, HP Meinzer Biennial International Conference on Information Processing in Medical …, 2005 | 131 | 2005 |
| Active shape models for a fully automated 3D segmentation of the liver–an evaluation on clinical data T Heimann, I Wolf, HP Meinzer International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 129 | 2006 |
| Validation of Fourier decomposition MRI with dynamic contrast-enhanced MRI using visual and automated scoring of pulmonary perfusion in young cystic fibrosis patients G Bauman, M Puderbach, T Heimann, A Kopp-Schneider, E Fritzsching, ... European journal of radiology 82 (12), 2371-2377, 2013 | 123 | 2013 |
| A statistical deformable model for the segmentation of liver CT volumes T Heimann, HP Meinzer, I Wolf MICCAI 2007 Workshop Proceedings: 3D Segmentation in the Clinic: A Grand …, 2007 | 121 | 2007 |
| Segmentation of knee images: a grand challenge T Heimann, BJ Morrison, MA Styner, M Niethammer, S Warfield Proc. MICCAI Workshop on Medical Image Analysis for the Clinic, 207-214, 2010 | 120 | 2010 |
| Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery S Marchesseau, T Heimann, S Chatelin, R Willinger, H Delingette Progress in biophysics and molecular biology 103 (2-3), 185-196, 2010 | 113 | 2010 |
| Automatic quantification of subcutaneous and visceral adipose tissue from whole‐body magnetic resonance images suitable for large cohort studies D Wald, B Teucher, J Dinkel, R Kaaks, S Delorme, H Boeing, ... Journal of magnetic resonance imaging 36 (6), 1421-1434, 2012 | 93 | 2012 |
| Real-time ultrasound transducer localization in fluoroscopy images by transfer learning from synthetic training data T Heimann, P Mountney, M John, R Ionasec Medical image analysis 18 (8), 1320-1328, 2014 | 54 | 2014 |
| The segments of the hepatic veins—is there a spatial correlation to the Couinaud liver segments? L Fischer, M Thorn, JO Neumann, M Schöbinger, T Heimann, ... European Journal of Radiology 53 (2), 245-255, 2005 | 53 | 2005 |
| Multiplicative jacobian energy decomposition method for fast porous visco-hyperelastic soft tissue model S Marchesseau, T Heimann, S Chatelin, R Willinger, H Delingette International conference on medical image computing and computer-assisted …, 2010 | 47 | 2010 |
| Branching patterns and drainage territories of the middle hepatic vein in computer‐simulated right living‐donor hepatectomies JO Neumann, M Thorn, L Fischer, M Schöbinger, T Heimann, B Radeleff, ... American journal of transplantation 6 (6), 1407-1415, 2006 | 47 | 2006 |
| Learning without labeling: Domain adaptation for ultrasound transducer localization T Heimann, P Mountney, M John, R Ionasec International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 46 | 2013 |
| New methods for leak detection and contour correction in seeded region growing segmentation T Heimann, M Thorn, T Kunert, HP Meinzer International Archives of Photogrammetry and Remote Sensing 35, 2004 | 46 | 2004 |
| Implementing the automatic generation of 3D statistical shape models with ITK T Heimann, I Oguz, I Wolf, M Styner, HP Meinzer Open science workshop at MICCAI, Copenhagen, 2006 | 45 | 2006 |
