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ORCIDVladimir Pekar
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2010 – 2019
- 2014
[c31]Guy Amit, Thomas G. Purdie
, Alex Levinshtein, Andrew Hope, Patricia Lindsay, David A. Jaffray, Vladimir Pekar:
Automatic learning-based selection of beam angles in radiation therapy of lung cancer. ISBI 2014: 230-233- 2011
- [j4]Ricardo José Ferrari, Stéphane Allaire, Andrew Hope, John J. Kim, David A. Jaffray, Vladimir Pekar:
Detection of point landmarks in 3D medical images via phase congruency model. J. Braz. Comput. Soc. 17(2): 117-132 (2011) - [c30]Arish A. Qazi, John J. Kim, David A. Jaffray, Vladimir Pekar:
A feature-based approach for refinement of Model-based segmentation of low contrast structures. EMBC 2011: 7977-7980 - [c29]Arish A. Qazi, John J. Kim, David A. Jaffray, Vladimir Pekar:
Feature-driven model-based segmentation. Medical Imaging: Image Processing 2011: 79622Q - 2010
- [c28]Arish A. Qazi, John J. Kim, David A. Jaffray, Vladimir Pekar:
Probabilistic Refinement of Model-Based Segmentation: Application to Radiation Therapy Planning of the Head and Neck. MIAR 2010: 403-410
2000 – 2009
- 2008
- [c27]Stéphane Allaire, John J. Kim, Stephen L. Breen, David A. Jaffray, Vladimir Pekar:
Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis. CVPR Workshops 2008: 1-8 - [c26]Claudia Leavens, Torbjørn Vik, Heinrich Schulz, Stéphane Allaire, John J. Kim, Laura Dawson, Brian O'Sullivan, Stephen L. Breen, David A. Jaffray, Vladimir Pekar:
Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region. Medical Imaging: Image Processing 2008: 69143G - [c25]Sebastian P. M. Dries, Vladimir Pekar, Daniel Bystrov, Harald S. Heese, Thomas Blaffert, Clemens Bos, Arianne M. C. van Muiswinkel:
Automatic knee cartilage delineation using inheritable segmentation. Medical Imaging: Image Processing 2008: 691439 - 2007
- [c24]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 - [c23]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 - [c22]Daniel Bystrov, Vladimir Pekar, Stewart Young, Sebastian P. M. Dries, Harald S. Heese, Arianne M. C. van Muiswinkel:
Automated planning of MRI scans of knee joints. Medical Imaging: Image-Guided Procedures 2007: 65092Z - 2006
- [j3]Evgeny Gladilin, Vladimir Pekar, Karl Rohr, H. Siegfried Stiehl:
A comparison between BEM and FEM for elastic registration of medical images. Image Vis. Comput. 24(4): 375-379 (2006) - 2005
- [c21]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 - [c20]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 - [c19]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 - [c18]Daniel Bystrov, Vladimir Pekar, Kirsten Meetz, Heinrich Schulz, Thomas Netsch:
Motion Compensation and Plane Tracking for Kinematic MR-Imaging. CVBIA 2005: 551-560 - [c17]Astrid Franz, Ingwer C. Carlsen, Sven Kabus, Thomas Netsch, Vladimir Pekar:
Modular toolbox for derivative-based medical image registration. Medical Imaging: Image Processing 2005 - 2004
- [j2]Michael Kaus, Jens von Berg, Jürgen Weese, Wiro J. Niessen, Vladimir Pekar:
Automated segmentation of the left ventricle in cardiac MRI. Medical Image Anal. 8(3): 245-254 (2004) - [c16]Vladimir Pekar, Evgeny Gladilin:
Deformable Image Registration by Adaptive Gaussian Forces. ECCV Workshops CVAMIA and MMBIA 2004: 317-328 - [c15]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 - [c14]Michael R. Kaus, Todd McNutt, Vladimir Pekar:
Automated 3D and 4D organ delineation for radiation therapy planning in the pelvic area. Medical Imaging: Image Processing 2004 - [c13]Celine Saint Olive, Michael R. Kaus, Vladimir Pekar, Kai Eck, Lothar Spies:
Segmentation-aided adaptive filtering for metal artifact reduction in radio-therapeutic CT images. Medical Imaging: Image Processing 2004 - 2003
- [j1]Michael Kaus, Vladimir Pekar, Cristian Lorenz, Roel Truyen, Steven Lobregt, Jürgen Weese:
Automated 3D PDM Construction from Segmented Images Using Deformable Models. IEEE Trans. Medical Imaging 22(8): 1005-1013 (2003) - [c12]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 - [c11]Michael Kaus, Jens von Berg, Wiro J. Niessen, Vladimir Pekar:
Automated Segmentation of the Left Ventricle in Cardiac MRI. MICCAI (1) 2003: 432-439 - [c10]Jens von Berg, Vladimir Pekar, Roel Truyen, Steven Lobregt, Michael R. Kaus:
Improving specificity of image features for segmentation with deformable models. Medical Imaging: Image Processing 2003 - [c9]Kirsten Meetz, Jens von Berg, Thomas Netsch, Vladimir Pekar, Steven Lobregt, Roel Truyen, Miriam Siers, Wiro J. Niessen, Michael R. Kaus:
Coupled deformable models with spatially varying features for quantitative assessment of left ventricular function from cardiac MRI. Medical Imaging: Image Processing 2003 - [c8]Vladimir Pekar, Daniel Hempel, Gundolf Kiefer, Marc Busch, Jürgen Weese:
Efficient Visualization of Large Medical Image Datasets on Standard PC Hardware. VisSym 2003: 135-140 - 2001
- [c7]Rafael Wiemker, Vladimir Pekar:
Fast computation of isosurface contour spectra for volume visualization. CARS 2001: 389-394 - [c6]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 - [c5]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 - [c4]Stewart Young, Vladimir Pekar, Jürgen Weese:
Vessel Segmentation for Visualization of MRA with Blood Pool Contrast Agent. MICCAI 2001: 491-498 - [c3]Cristian Lorenz, Michael R. Kaus, Vladimir Pekar, Jürgen Weese:
Efficient representation of shape variability using surface-based free-vibration modes. Medical Imaging: Image Processing 2001 - [c2]Vladimir Pekar, Michael R. Kaus, Cristian Lorenz, Steven Lobregt, Roel Truyen, Jürgen Weese:
Shape-model-based adaptation of 3D deformable meshes for segmentation of medical images. Medical Imaging: Image Processing 2001 - [c1]Vladimir Pekar, Rafael Wiemker, Daniel Hempel:
Fast Detection of Meaningful Isosurfaces for Volume Data Visualization. IEEE Visualization 2001: 223-230
Coauthor Index
aka: Michael R. Kaus
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