Fast computation of isosurface contour spectra for volume visualization. - Rafael Wiemker; Vladimir Pekar (CARS, 2001)

Automated 3D PDM Construction Using Deformable Models. - Michael Kaus; Vladimir Pekar; Cristian Lorenz; Roel Truyen; Steven Lobregt; Jens A. Richolt; Jürgen Weese (ICCV, 2001)

Shape Constrained Deformable Models for 3D Medical Image Segmentation. - Jürgen Weese; Michael Kaus; Cristian Lorenz; Steven Lobregt; Roel Truyen; Vladimir Pekar (IPMI, 2001)

Vessel Segmentation for Visualization of MRA with Blood Pool Contrast Agent. - Stewart Young; Vladimir Pekar; Jürgen Weese (MICCAI, 2001)

Efficient representation of shape variability using surface-based free-vibration modes. - Cristian Lorenz; Michael R. Kaus; Vladimir Pekar; Jürgen Weese (Image Processing, 2001)

Shape-model-based adaptation of 3D deformable meshes for segmentation of medical images. - Vladimir Pekar; Michael R. Kaus; Cristian Lorenz; Steven Lobregt; Roel Truyen; Jürgen Weese (Image Processing, 2001)

Fast Detection of Meaningful Isosurfaces for Volume Data Visualization. - Vladimir Pekar; Rafael Wiemker; Daniel Hempel (IEEE Visualization, 2001)

Integration of Interactive Corrections to Model-Based Segmentation Algorithms. - Holger Timinger; Vladimir Pekar; Jens von Berg; Klaus Dietmayer; Michael Kaus (Bildverarbeitung für die Medizin, 2003)

Automated Segmentation of the Left Ventricle in Cardiac MRI. - Michael Kaus; Jens von Berg; Wiro J. Niessen; Vladimir Pekar (MICCAI (1), 2003)

Improving specificity of image features for segmentation with deformable models. - Jens von Berg; Vladimir Pekar; Roel Truyen; Steven Lobregt; Michael R. Kaus (Image Processing, 2003)

Coupled deformable models with spatially varying features for quantitative assessment of left ventricular function from cardiac MRI. - Kirsten Meetz; Jens von Berg; Thomas Netsch; Vladimir Pekar; Steven Lobregt; Roel Truyen; Miriam Siers; Wiro J. Niessen; Michael R. Kaus (Image Processing, 2003)

Efficient Visualization of Large Medical Image Datasets on Standard PC Hardware. - Vladimir Pekar; Daniel Hempel; Gundolf Kiefer; Marc Busch; Jürgen Weese (VisSym, 2003)

Automated 3D PDM Construction from Segmented Images Using Deformable Models. - Michael Kaus; Vladimir Pekar; Cristian Lorenz; Roel Truyen; Steven Lobregt; Jürgen Weese (IEEE Trans. Medical Imaging, 2003)

Deformable Image Registration by Adaptive Gaussian Forces. - Vladimir Pekar; Evgeny Gladilin (ECCV Workshops CVAMIA and MMBIA, 2004)

Estimation of Organ Motion from 4D CT for 4D Radiation Therapy Planning of Lung Cancer. - Michael Kaus; Thomas Netsch; Sven Kabus; Vladimir Pekar; Todd McNutt; Bernd Fischer 001 (MICCAI (2), 2004)

Automated 3D and 4D organ delineation for radiation therapy planning in the pelvic area. - Michael R. Kaus; Todd McNutt; Vladimir Pekar (Image Processing, 2004)

Segmentation-aided adaptive filtering for metal artifact reduction in radio-therapeutic CT images. - Celine Saint Olive; Michael R. Kaus; Vladimir Pekar; Kai Eck; Lothar Spies (Image Processing, 2004)

Automated segmentation of the left ventricle in cardiac MRI. - Michael Kaus; Jens von Berg; Jürgen Weese; Wiro J. Niessen; Vladimir Pekar (Medical Image Anal., 2004)

Model-Based Segmentation of Anatomical Structures in MR Images of the Head and Neck Area. - Marcelo Bacher; Vladimir Pekar; Michael Kaus (Bildverarbeitung für die Medizin, 2005)

Robust and Efficient Triangulation of Anatomical Surfaces from Medical Images. - Matthias Meyer; Cristian Lorenz; Vladimir Pekar; Michael Kaus (Bildverarbeitung für die Medizin, 2005)

Automatische Generierung von Bildmerkmalen für die Segmentierung von CT-Bilddaten mit deformierbaren Modellen. - M. P. Mienkina; Vladimir Pekar; F. Hoffmann; Michael Kaus (Bildverarbeitung für die Medizin, 2005)

Motion Compensation and Plane Tracking for Kinematic MR-Imaging. - Daniel Bystrov; Vladimir Pekar; Kirsten Meetz; Heinrich Schulz; Thomas Netsch (CVBIA, 2005)

Modular toolbox for derivative-based medical image registration. - Astrid Franz; Ingwer C. Carlsen; Sven Kabus; Thomas Netsch; Vladimir Pekar (Image Processing, 2005)

A comparison between BEM and FEM for elastic registration of medical images. - Evgeny Gladilin; Vladimir Pekar; Karl Rohr; H. Siegfried Stiehl (Image Vis. Comput., 2006)

Spine Detection and Labeling Using a Parts-Based Graphical Model. - Stefan Schmidt 001; Jörg H. Kappes; Martin Bergtholdt; Vladimir Pekar; Sebastian P. M. Dries; Daniel Bystrov; Christoph Schnörr (IPMI, 2007)

Automated Planning of Scan Geometries in Spine MRI Scans. - Vladimir Pekar; Daniel Bystrov; Harald S. Heese; Sebastian P. M. Dries; Stefan Schmidt 001; Rüdiger Grewer; Chiel J. den Harder; René C. Bergmans; Arjan W. Simonetti; Arianne van Muiswinkel (MICCAI (1), 2007)

Automated planning of MRI scans of knee joints. - Daniel Bystrov; Vladimir Pekar; Stewart Young; Sebastian P. M. Dries; Harald S. Heese; Arianne M. C. van Muiswinkel (Image-Guided Procedures, 2007)

Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis. - Stéphane Allaire; John J. Kim; Stephen L. Breen; David A. Jaffray; Vladimir Pekar (CVPR Workshops, 2008)

Automatic knee cartilage delineation using inheritable segmentation. - Sebastian P. M. Dries; Vladimir Pekar; Daniel Bystrov; Harald S. Heese; Thomas Blaffert; Clemens Bos; Arianne M. C. van Muiswinkel (Image Processing, 2008)

Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region. - Claudia Leavens; Torbjørn Vik; Heinrich Schulz; Stéphane Allaire; John J. Kim; Laura Dawson; Brian O'Sullivan; Stephen L. Breen; David A. Jaffray; Vladimir Pekar (Image Processing, 2008)

Probabilistic Refinement of Model-Based Segmentation: Application to Radiation Therapy Planning of the Head and Neck. - Arish A. Qazi; John J. Kim; David A. Jaffray; Vladimir Pekar (MIAR, 2010)

A feature-based approach for refinement of Model-based segmentation of low contrast structures. - Arish A. Qazi; John J. Kim; David A. Jaffray; Vladimir Pekar (EMBC, 2011)

Feature-driven model-based segmentation. - Arish A. Qazi; John J. Kim; David A. Jaffray; Vladimir Pekar (Image Processing, 2011)

Detection of point landmarks in 3D medical images via phase congruency model. - Ricardo José Ferrari; Stéphane Allaire; Andrew Hope; John J. Kim; David A. Jaffray; Vladimir Pekar (J. Braz. Comput. Soc., 2011)

Automatic learning-based selection of beam angles in radiation therapy of lung cancer. - Guy Amit; Thomas G. Purdie; Alex Levinshtein; Andrew Hope; Patricia Lindsay; David A. Jaffray; Vladimir Pekar (ISBI, 2014)