Refereed Journals

2017

 
[24]
D. A. J. Wilson, C. Anglin, F. Ambellan, C. M. Grewe, A. Tack, H. Lamecker, M. Dunbar, S. Zachow:
Validation of three dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty
Int. J. Computer Assisted Radiology and Surgery, accepted for publication, 2017
 
[23]
F. Bernard, L. Salamanca, J. Thunberg, A. Tack, D. Jentsch, H. Lamecker, S. Zachow, F. Hertel, J. Goncalves, P. Gemmar :
Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds
Medical Image Analysis, accepted for publication, Elsevier, 2017
 
2014

 
[22]
I. Todt, H. Lamecker, H. Ramm, H. Frenzel, B. Wollenberg, T. Beleites, T. Zahnert, J.P. Thomas, S. Dazert, A. Ernst:
Entwicklung eines CT-Daten-basierten Vibrant-Bonebridge-Viewers
HNO, Volume 62, Issue 6, pp. 439-442, 2014
 
[21]
I. Todt, H. Lamecker, H. Ramm, A. Ernst:
A computed tomographic data-based vibrant bonebridge visualization tool
Cochlear Implants Int. (15) Suppl 1, pp. 72-74, 2014
 
[20]
M. Hochfeld, H. Lamecker, U.W. Thomale, M. Schulz, S. Zachow, H. Haberl:
Frame-Based Cranial Reconstruction
J Neurosurg Pediatr. 13(3), pp. 319-323, 2014
 
2013

 
[19]
M. Ehlke, H. Ramm, H. Lamecker, H.-C. Hege, S. Zachow:
Fast generation of virtual X-ray images from deformable tetrahedral meshes
IEEE Trans Vis Comp Graph. 19(12), pp. 2673-82, 2013.
 
[18]
D. Kainmueller, H. Lamecker, M. Heller, B. Weber, H.-C. Hege, S. Zachow:
Omnidirectional Displacements for Deformable Surfaces
Medical Image Analysis, 17(4), pp. 429-441, Elsevier, 2013.
 
2012

 
[17]
A. Günther, H. Lamecker, M. Weiser:
Flexible Shape Matching with Finite Element Based LDDMM
Int. J. Computer Vision, Springer, DOI 10.1007/s11263-012-0599-3, published online Dec 13, 2012.
 
[16]
T.D. Nguyen, D. Kainmueller, H. Lamecker, S. Zachow:
Automatic bone and tooth detection for CT-based dental implant planning
Int. J. Computer Assisted Radiology and Surgery, Springer, 7, Suppl. 1, pp. 293-294, 2012.
 
2011

 
[15]
C.-M. Grewe, H. Lamecker, S. Zachow:
Digital Morphometry: The Potential of Statistical Shape Models
Anthropologischer Anzeiger, Vol. 68, No. 4, Biological and Cultural Markers of Environmental Pressure, pp. 505-506, 2011.
 
2010

 
[14]
H. Lamecker, X. Pennec:
Atlas to Image-with-Tumor Registration based on Demons and Deformation Inpainting
MIDAS Journal, Contribution to MICCAI 2010 Workshop on Computational Imaging Biomarkers for Tumors (CIBT), 2010.
 
[13]
J. Rybak, A. Kuss, H. Lamecker, S. Zachow, H.-C. Hege, M. Lienhard, J. Singer, K. Neubert and R. Menzel:
The digital bee brain: integrating and managing neurons in a common 3D reference system
Frontiers in Systems Neuroscience, 4:30, doi:10.3389/fnsys.2010.00030, 2010.
 
[12]
J. Dworzak, H. Lamecker, J. von Berg, T. Klinder, C. Lorenz, D. Kainmüller, H. Seim, H.-C. Hege, S.Zachow:
3D Reconstruction of the Human Rib Cage from 2D Projection Images Using a Statistical Shape Model
Int. J. Computer Assisted Radiology and Surgery, Springer, 5(2), pp. 111-124, 2010.
 
2009

 
[11]
D. Kainmüller, H. Lamecker, S. Zachow:
Multi-object Segmentation with Coupled Deformable Models
Annals of the British Machine Vision Association (BMVA), Vol. 2009, No. 5, pp. 1-10, 2009.
 
[10]
D. Kainmüller, H. Lamecker, H. Seim, S. Zachow:
Multi-object Segmentation of Head Bones
MIDAS Journal, Contribution to MICCAI Workshop Head and Neck Auto-Segmentation Challenge, 2009.
Winner in the category "Automatic Mandible Segmentation" (see results)
 
[9]
T. Heimann, B. van Ginneken, M. Styner, ..., D. Kainmüller, H. Lamecker, T. Lange, ...:
Comparison and Evaluation of Methods for Liver Segmentation from CT Datasets
IEEE Transactions on Medical Imaging, 28(8), pp. 1251-1265, 2009.
 
[8]
T. Lange, N. Papenberg, S. Heldmann, J. Modersitzki, B. Fischer, H. Lamecker, P. Schlag:
3D Ultrasound-CT Registration of the Liver using Combined Landmark-Intensity Information
Int. J. Computer Assisted Radiology and Surgery, Springer, 4, pp. 79-88, 2009.
 
2008

 
[7]
J. Sahner, B. Weber, H. Lamecker, S. Prohaska:
Extraction Of Feature Lines On Surface Meshes Based On Discrete Morse Theory
Computer Graphics Forum, 27(3), pp. 735-742, 2008.
 
2007

 
[6]
T. Lange, M. Hünerbein, S. Eulenstein, S. Beller, P. M. Schlag, H. Lamecker:
A Distance Measure for Non-Rigid Registration of Geometrical Models to Intensity Data
Int. J. Computer Assisted Radiology and Surgery, Springer, 2, Suppl. 1, pp. 204-206, 2007.
 
2006

 
[5]
H. Lamecker, S. Zachow, H.-C. Hege, M. Zöckler, H. Haberl:
Surgical Treatment of Craniosynostosis based on a Statistical 3D-Shape Model: First Clinical Application
Int. J. Computer Assisted Radiology and Surgery, Springer, 1(1), Suppl. 7, pp. 253-254, 2006.
 
[4]
H. Lamecker, S. Zachow, A. Wittmers, B. Weber, H.-C. Hege, B. Elsholtz, M. Stiller:
Automatic Segmentation of Mandibles in Low-Dose CT-Data
Int. J. Computer Assisted Radiology and Surgery, Springer, 1(1), Suppl. 7, pp. 393-395, 2006.
Hindsight: Due to a bug in our software the numeric results in the published version are incorrect. In the downloadable version above this problem was fixed. Furthermore the sample size for the experiments could be enlarged to incorporate 15 data sets.
 
[3]
S. Zachow, H. Lamecker, B. Elsholtz, M. Stiller:
Is the course of the mandibular nerve deducible from the shape of the mandible?
Int. J. Computer Assisted Radiology and Surgery, Springer, 1(1), Suppl. 7, pp. 415-417, 2006.
 
2005

 
[2]
T. Lange, T. Wenckebach, H. Lamecker, M. Seebaß, M. Hünerbein, S. Eulenstein, P.-M. Schlag:
Registration of Different Phases of Contrast-Enhanced CT/MRI Data for Computer-Assisted Liver Surgery Planning: Evaluation of State-of-the-Art Methods
Int. J. Medical Robotics and Computer Assisted Surgery, Wiley, 1(3), pp. 6-20, 2005.
 
2004

 
[1]
H. Haberl, B. Hell, M. Zöckler, S. Zachow, H. Lamecker, A. Sarrafzadeh, B. Riecke, W.R. Lanksch, P. Deuflhard, J. Bier, M. Brock:
Technical Aspects and Results of Surgery for Craniosynostosis
Zentralblatt für Neurochirurgie, 65(2), pp. 65-74, 2004.