Hans Lamecker
Hans Lamecker
1000shapes GmbH
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Cited by
Cited by
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
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
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
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
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
Segmentation of the liver using a 3D statistical shape model
H Lamecker, T Lange, M Seebass
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
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
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
A statistical shape model for the liver
H Lamecker, T Lange, M Seebass
Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002: 5th …, 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
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
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
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
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
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
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
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
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
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
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