| 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 | 1160 | 2009 |
| Shape constrained automatic segmentation of the liver based on a heuristic intensity model D Kainmüller, T Lange, H Lamecker Proc. MICCAI Workshop 3D Segmentation in the Clinic: A Grand Challenge 109, 116, 2007 | 279 | 2007 |
| 3D ultrasound-CT registration of the liver using combined landmark-intensity information T Lange, N Papenberg, S Heldmann, J Modersitzki, B Fischer, ... International journal of computer assisted radiology and surgery 4, 79-88, 2009 | 174 | 2009 |
| Segmentation of the liver using a 3D statistical shape model H Lamecker, T Lange, M Seebass | 169 | 2004 |
| Augmenting intraoperative 3D ultrasound with preoperative models for navigation in liver surgery T Lange, S Eulenstein, M Hünerbein, H Lamecker, PM Schlag Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004: 7th …, 2004 | 167 | 2004 |
| A 3D statistical shape model of the pelvic bone for segmentation H Lamecker, M Seebass, HC Hege, P Deuflhard Medical Imaging 2004: Image Processing 5370, 1341-1351, 2004 | 139 | 2004 |
| Atlas-based 3D-shape reconstruction from X-ray images H Lamecker, TH Wenckebach, HC Hege 18th International Conference on Pattern Recognition (ICPR'06) 1, 371-374, 2006 | 137 | 2006 |
| Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. H Seim, D Kainmueller, M Heller, H Lamecker, S Zachow, HC Hege VCBM 8, 93-100, 2008 | 127 | 2008 |
| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 123 | 2021 |
| A statistical shape model for the liver H Lamecker, T Lange, M Seebass Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002: 5th …, 2002 | 111 | 2002 |
| The digital bee brain: integrating and managing neurons in a common 3D reference system J Rybak, A Kuß, H Lamecker, S Zachow, HC Hege, M Lienhard, J Singer, ... Frontiers in systems neuroscience 4, 30, 2010 | 105 | 2010 |
| Model-based auto-segmentation of knee bones and cartilage in MRI data H Seim, D Kainmueller, H Lamecker, M Bindernagel, J Malinowski, ... Proc. MICCAI Workshop Medical Image Analysis for the Clinic, 215-223, 2010 | 92 | 2010 |
| An articulated statistical shape model for accurate hip joint segmentation D Kainmueller, H Lamecker, S Zachow, HC Hege 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 87 | 2009 |
| Automatic extraction of mandibular nerve and bone from cone-beam CT data D Kainmueller, H Lamecker, H Seim, M Zinser, S Zachow Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 86 | 2009 |
| Reconstruction of mandibular dysplasia using a statistical 3D shape model S Zachow, H Lamecker, B Elsholtz, M Stiller International congress series 1281, 1238-1243, 2005 | 82 | 2005 |
| Fast generation of virtual X-ray images for reconstruction of 3D anatomy M Ehlke, H Ramm, H Lamecker, HC Hege, S Zachow IEEE transactions on visualization and computer graphics 19 (12), 2673-2682, 2013 | 76 | 2013 |
| 3D reconstruction of the human rib cage from 2D projection images using a statistical shape model J Dworzak, H Lamecker, J von Berg, T Klinder, C Lorenz, D Kainmüller, ... International journal of computer assisted radiology and surgery 5, 111-124, 2010 | 65 | 2010 |
| Statistical shape models: understanding and mastering variation in anatomy F Ambellan, H Lamecker, C von Tycowicz, S Zachow Biomedical Visualisation: Volume 3, 67-84, 2019 | 56 | 2019 |
| Automatic segmentation of the liver for preoperative planning of resections H Lamecker, T Lange, M Seebaß, S Eulenstein, M Westerhoff, HC Hege Medicine Meets Virtual Reality 11, 171-173, 2003 | 51 | 2003 |
| Shape-aware surface reconstruction from sparse 3D point-clouds F Bernard, L Salamanca, J Thunberg, A Tack, D Jentsch, H Lamecker, ... Medical image analysis 38, 77-89, 2017 | 47 | 2017 |
Hans-Christian HegeZuse Institute Berlin (ZIB)Verified email at zib.de
