2007 |
18 | EE | Stefan Schmidt,
Jörg H. Kappes,
Martin Bergtholdt,
Vladimir Pekar,
Sebastian P. M. Dries,
Daniel Bystrov,
Christoph Schnörr:
Spine Detection and Labeling Using a Parts-Based Graphical Model.
IPMI 2007: 122-133 |
17 | EE | Vladimir Pekar,
Daniel Bystrov,
Harald S. Heese,
Sebastian P. M. Dries,
Stefan Schmidt,
Rüdiger Grewer,
Chiel J. den Harder,
René C. Bergmans,
Arjan W. Simonetti,
Arianne van Muiswinkel:
Automated Planning of Scan Geometries in Spine MRI Scans.
MICCAI (1) 2007: 601-608 |
2006 |
16 | EE | Evgeny Gladilin,
Vladimir Pekar,
Karl Rohr,
H. Siegfried Stiehl:
A comparison between BEM and FEM for elastic registration of medical images.
Image Vision Comput. 24(4): 375-379 (2006) |
2005 |
15 | EE | Marcelo Bacher,
Vladimir Pekar,
Michael Kaus:
Model-Based Segmentation of Anatomical Structures in MR Images of the Head and Neck Area.
Bildverarbeitung für die Medizin 2005: 113-117 |
14 | EE | M. P. Mienkina,
Vladimir Pekar,
F. Hoffmann,
Michael Kaus:
Automatische Generierung von Bildmerkmalen für die Segmentierung von CT-Bilddaten mit deformierbaren Modellen.
Bildverarbeitung für die Medizin 2005: 163-167 |
13 | EE | Matthias Meyer,
Cristian Lorenz,
Vladimir Pekar,
Michael Kaus:
Robust and Efficient Triangulation of Anatomical Surfaces from Medical Images.
Bildverarbeitung für die Medizin 2005: 277-281 |
12 | EE | Daniel Bystrov,
Vladimir Pekar,
Kirsten Meetz,
Heinrich Schulz,
Thomas Netsch:
Motion Compensation and Plane Tracking for Kinematic MR-Imaging.
CVBIA 2005: 551-560 |
2004 |
11 | EE | Vladimir Pekar,
Evgeny Gladilin:
Deformable Image Registration by Adaptive Gaussian Forces.
ECCV Workshops CVAMIA and MMBIA 2004: 317-328 |
10 | EE | Michael Kaus,
Thomas Netsch,
Sven Kabus,
Vladimir Pekar,
Todd McNutt,
Bernd Fischer:
Estimation of Organ Motion from 4D CT for 4D Radiation Therapy Planning of Lung Cancer.
MICCAI (2) 2004: 1017-1024 |
2003 |
9 | EE | Holger Timinger,
Vladimir Pekar,
Jens von Berg,
Klaus Dietmayer,
Michael Kaus:
Integration of Interactive Corrections to Model-Based Segmentation Algorithms.
Bildverarbeitung für die Medizin 2003: 171-175 |
8 | EE | Michael Kaus,
Jens von Berg,
Wiro J. Niessen,
Vladimir Pekar:
Automated Segmentation of the Left Ventricle in Cardiac MRI.
MICCAI (1) 2003: 432-439 |
7 | | Vladimir Pekar,
Daniel Hempel,
Gundolf Kiefer,
Marc Busch,
Juergen Wees:
Efficient Visualization of Large Medical Image Datasets on Standard PC Hardware.
VisSym 2003 |
6 | | Michael Kaus,
Vladimir Pekar,
Cristian Lorenz,
Roel Truyen,
Steven Lobregt,
Jürgen Weese:
Automated 3D PDM Construction from Segmented Images Using Deformable Models.
IEEE Trans. Med. Imaging 22(8): 1005-1013 (2003) |
2001 |
5 | | Rafael Wiemker,
Vladimir Pekar:
Fast computation of isosurface contour spectra for volume visualization.
CARS 2001: 389-394 |
4 | | Michael Kaus,
Vladimir Pekar,
Cristian Lorenz,
Roel Truyen,
Steven Lobregt,
Jens A. Richolt,
Jürgen Weese:
Automated 3D PDM Construction Using Deformable Models.
ICCV 2001: 566-572 |
3 | EE | Vladimir Pekar,
Rafael Wiemker,
Daniel Hempel:
Fast Detection of Meaningful Isosurfaces for Volume Data Visualization.
IEEE Visualization 2001 |
2 | EE | Jürgen Weese,
Michael Kaus,
Cristian Lorenz,
Steven Lobregt,
Roel Truyen,
Vladimir Pekar:
Shape Constrained Deformable Models for 3D Medical Image Segmentation.
IPMI 2001: 380-387 |
1 | EE | Stewart Young,
Vladimir Pekar,
Jürgen Weese:
Vessel Segmentation for Visualization of MRA with Blood Pool Contrast Agent.
MICCAI 2001: 491-498 |